{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,6]],"date-time":"2026-06-06T16:01:14Z","timestamp":1780761674293,"version":"3.54.1"},"reference-count":97,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Computational Science"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.jocs.2026.102891","type":"journal-article","created":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T12:25:23Z","timestamp":1778761523000},"page":"102891","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["The effect of different heuristic initialization approaches on the performance of binary population-based optimization algorithms"],"prefix":"10.1016","volume":"98","author":[{"given":"Noor Aldeen","family":"Alawad","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bilal H.","family":"Abed-alguni","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Paul","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohammed Azmi","family":"Al-Betar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.jocs.2026.102891_b1","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1016\/j.asoc.2009.12.008","article-title":"Artificial bee colony (ABC) for multi-objective design optimization of composite structures","volume":"11","author":"Omkar","year":"2011","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.jocs.2026.102891_b2","first-page":"113","article-title":"Artificial bee colony algorithm and its application to generalized assignment problem","volume":"532","author":"Baykasoglu","year":"2007","journal-title":"Swarm Intell.: Focus. Ant Part. Swarm Optim."},{"issue":"5\u20138","key":"10.1016\/j.jocs.2026.102891_b3","doi-asserted-by":"crossref","first-page":"1135","DOI":"10.1007\/s00170-015-7650-9","article-title":"A comparison of local search algorithms with population-based algorithms in hybrid flow shop scheduling problems with realistic characteristics","volume":"83","author":"Bozorgirad","year":"2016","journal-title":"Int. J. Adv. Manuf. Technol."},{"issue":"3","key":"10.1016\/j.jocs.2026.102891_b4","doi-asserted-by":"crossref","first-page":"3517","DOI":"10.1007\/s11227-021-03998-9","article-title":"Discrete jaya with refraction learning and three mutation methods for the permutation flow shop scheduling problem","volume":"78","author":"Alawad","year":"2022","journal-title":"J. Supercomput."},{"issue":"11","key":"10.1016\/j.jocs.2026.102891_b5","doi-asserted-by":"crossref","first-page":"13224","DOI":"10.1007\/s10489-022-04201-z","article-title":"Opposition-based Sine cosine optimizer utilizing refraction learning and variable neighborhood search for feature selection","volume":"53","author":"Abed-Alguni","year":"2023","journal-title":"Appl. Intell."},{"issue":"11","key":"10.1016\/j.jocs.2026.102891_b6","first-page":"9695","article-title":"Solving graph coloring problem using divide and conquer-based turbulent particle swarm optimization","volume":"46","author":"Marappan","year":"2021","journal-title":"Arab. J. Sci. Eng."},{"issue":"2","key":"10.1016\/j.jocs.2026.102891_b7","first-page":"108","article-title":"Binary honey badger algorithm for 0-1 knapsack problem","volume":"6","author":"B\u00fcy\u00fck\u00f6z","year":"2023","journal-title":"J. Intell. Syst.: Theory Appl."},{"issue":"17","key":"10.1016\/j.jocs.2026.102891_b8","doi-asserted-by":"crossref","first-page":"12531","DOI":"10.1007\/s00521-023-08387-2","article-title":"A new Robust Harris Hawk optimization algorithm for large quadratic assignment problems","volume":"35","author":"Dokeroglu","year":"2023","journal-title":"Neural Comput. Appl."},{"key":"10.1016\/j.jocs.2026.102891_b9","doi-asserted-by":"crossref","first-page":"83548","DOI":"10.1109\/ACCESS.2020.2991543","article-title":"Improved binary sailfish optimizer based on adaptive \u03b2-hill climbing for feature selection","volume":"8","author":"Ghosh","year":"2020","journal-title":"IEEE Access"},{"issue":"7","key":"10.1016\/j.jocs.2026.102891_b10","doi-asserted-by":"crossref","first-page":"7637","DOI":"10.1007\/s12652-020-02484-z","article-title":"Binary \u03b2-hill climbing optimizer with S-shape transfer function for feature selection","volume":"12","author":"Al-Betar","year":"2021","journal-title":"J. Ambient. Intell. Humaniz. Comput."},{"issue":"3","key":"10.1016\/j.jocs.2026.102891_b11","doi-asserted-by":"crossref","first-page":"1037","DOI":"10.1016\/j.ejor.2023.01.001","article-title":"Tabu search exploiting local optimality in binary optimization","volume":"308","author":"Hanafi","year":"2023","journal-title":"European J. Oper. Res."},{"key":"10.1016\/j.jocs.2026.102891_b12","series-title":"2017 Palestinian International Conference on Information and Communication Technology","first-page":"84","article-title":"\u03b2-hill climbing algorithm for sudoku game","author":"Al-Betar","year":"2017"},{"issue":"24","key":"10.1016\/j.jocs.2026.102891_b13","doi-asserted-by":"crossref","first-page":"13489","DOI":"10.1007\/s00500-019-03887-7","article-title":"Adaptive \u03b2-hill climbing for optimization","volume":"23","author":"Al-Betar","year":"2019","journal-title":"Soft Comput."},{"key":"10.1016\/j.jocs.2026.102891_b14","first-page":"1","article-title":"A VNS-EDA algorithm-based feature selection for credit risk classification","volume":"2020","author":"Chen","year":"2020","journal-title":"Math. Probl. Eng."},{"issue":"7","key":"10.1016\/j.jocs.2026.102891_b15","doi-asserted-by":"crossref","first-page":"5149","DOI":"10.1007\/s11831-022-09759-y","article-title":"A review of the use of quasi-random number generators to initialize the population in meta-heuristic algorithms","volume":"29","author":"Navarro","year":"2022","journal-title":"Arch. Comput. Methods Eng."},{"key":"10.1016\/j.jocs.2026.102891_b16","series-title":"2020 IEEE 23rd International Multitopic Conference","first-page":"1","article-title":"A novel bat algorithm using sobol sequence for the initialization of population","author":"Junaid","year":"2020"},{"issue":"15","key":"10.1016\/j.jocs.2026.102891_b17","doi-asserted-by":"crossref","first-page":"10167","DOI":"10.1007\/s00500-021-05939-3","article-title":"Exploratory cuckoo search for solving single-objective optimization problems","volume":"25","author":"Abed-Alguni","year":"2021","journal-title":"Soft Comput."},{"issue":"15","key":"10.1016\/j.jocs.2026.102891_b18","doi-asserted-by":"crossref","first-page":"17217","DOI":"10.1007\/s10489-022-03269-x","article-title":"Improved salp swarm algorithm for solving single-objective continuous optimization problems","volume":"52","author":"Abed-Alguni","year":"2022","journal-title":"Appl. Intell."},{"key":"10.1016\/j.jocs.2026.102891_b19","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2020.106193","article-title":"Influence of initialization on the performance of metaheuristic optimizers","volume":"91","author":"Li","year":"2020","journal-title":"Appl. Soft Comput."},{"issue":"5","key":"10.1016\/j.jocs.2026.102891_b20","doi-asserted-by":"crossref","first-page":"4099","DOI":"10.1007\/s00521-022-07854-6","article-title":"Gazelle optimization algorithm: A novel nature-inspired metaheuristic optimizer","volume":"35","author":"Agushaka","year":"2023","journal-title":"Neural Comput. Appl."},{"issue":"4","key":"10.1016\/j.jocs.2026.102891_b21","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1023\/A:1008202821328","article-title":"Differential evolution\u2014A simple and efficient heuristic for global optimization over continuous spaces","volume":"11","author":"Storn","year":"1997","journal-title":"J. Global Optim."},{"issue":"6","key":"10.1016\/j.jocs.2026.102891_b22","doi-asserted-by":"crossref","first-page":"4632","DOI":"10.1016\/j.eswa.2009.12.045","article-title":"CIDE: Chaotically initialized differential evolution","volume":"37","author":"Ozer","year":"2010","journal-title":"Expert Syst. Appl."},{"issue":"2","key":"10.1016\/j.jocs.2026.102891_b23","doi-asserted-by":"crossref","first-page":"481","DOI":"10.1007\/s10589-012-9521-8","article-title":"A novel differential evolution algorithm for binary optimization","volume":"55","author":"Kashan","year":"2013","journal-title":"Comput. Optim. Appl."},{"issue":"21","key":"10.1016\/j.jocs.2026.102891_b24","first-page":"15637","article-title":"Binary improved white shark algorithm for intrusion detection systems","volume":"35","author":"Alawad","year":"2023","journal-title":"Neural Comput. Appl."},{"issue":"10","key":"10.1016\/j.jocs.2026.102891_b25","doi-asserted-by":"crossref","first-page":"14417","DOI":"10.1007\/s10586-024-04674-2","article-title":"BOC-PDO: An intrusion detection model using binary opposition cellular prairie dog optimization algorithm","volume":"27","author":"Abed-Alguni","year":"2024","journal-title":"Clust. Comput."},{"key":"10.1016\/j.jocs.2026.102891_b26","article-title":"IBJA: An improved binary DJaya algorithm for feature selection","volume":"74","author":"Abed-Alguni","year":"2023","journal-title":"J. Comput. Sci."},{"key":"10.1016\/j.jocs.2026.102891_b27","series-title":"Feature Selection for Knowledge Discovery and Data Mining","volume":"Vol. 454","author":"Liu","year":"2012"},{"issue":"6","key":"10.1016\/j.jocs.2026.102891_b28","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0321761","article-title":"Machine learning driven dashboard for chronic myeloid leukemia prediction using protein sequences","volume":"20","author":"Ahmad","year":"2025","journal-title":"PLoS One"},{"key":"10.1016\/j.jocs.2026.102891_b29","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2025.113156","article-title":"EBAO: An intrusion detection framework for wireless sensor networks using an enhanced binary aquila optimizer","volume":"312","author":"Alawad","year":"2025","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.jocs.2026.102891_b30","series-title":"2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","first-page":"319","article-title":"A feature selection method based on Shapley value to false alarm reduction in ICUs: A genetic-algorithm approach","author":"Zaeri-Amirani","year":"2018"},{"issue":"11","key":"10.1016\/j.jocs.2026.102891_b31","doi-asserted-by":"crossref","first-page":"13224","DOI":"10.1007\/s10489-022-04201-z","article-title":"Opposition-based sine cosine optimizer utilizing refraction learning and variable neighborhood search for feature selection","volume":"53","author":"Abed-Alguni","year":"2023","journal-title":"Appl. Intell."},{"issue":"18","key":"10.1016\/j.jocs.2026.102891_b32","doi-asserted-by":"crossref","first-page":"21265","DOI":"10.1007\/s11227-023-05444-4","article-title":"Improved discrete salp swarm algorithm using exploration and exploitation techniques for feature selection in intrusion detection systems","volume":"79","author":"Barhoush","year":"2023","journal-title":"J. Supercomput."},{"key":"10.1016\/j.jocs.2026.102891_b33","doi-asserted-by":"crossref","first-page":"121127","DOI":"10.1109\/ACCESS.2020.3006473","article-title":"Improved harris hawks optimization using elite opposition-based learning and novel search mechanism for feature selection","volume":"8","author":"Sihwail","year":"2020","journal-title":"IEEE Access"},{"issue":"6","key":"10.1016\/j.jocs.2026.102891_b34","doi-asserted-by":"crossref","first-page":"68","DOI":"10.3390\/computation9060068","article-title":"Improved equilibrium optimization algorithm using elite opposition-based learning and new local search strategy for feature selection in medical datasets","volume":"9","author":"Elgamal","year":"2021","journal-title":"Computation"},{"issue":"7","key":"10.1016\/j.jocs.2026.102891_b35","doi-asserted-by":"crossref","first-page":"3293","DOI":"10.1007\/s00500-021-06665-6","article-title":"Island-based cuckoo search with elite opposition-based learning and multiple mutation methods for solving optimization problems","volume":"26","author":"Abed-alguni","year":"2022","journal-title":"Soft Comput."},{"issue":"1","key":"10.1016\/j.jocs.2026.102891_b36","doi-asserted-by":"crossref","first-page":"701","DOI":"10.1038\/s41598-023-50959-8","article-title":"CDMO: Chaotic dwarf mongoose optimization algorithm for feature selection","volume":"14","author":"Abdelrazek","year":"2024","journal-title":"Sci. Rep."},{"key":"10.1016\/j.jocs.2026.102891_b37","series-title":"2019 International Conference on Networking and Advanced Systems","first-page":"1","article-title":"Improved chaotic initialization of particle swarm applied to feature selection","author":"Djellali","year":"2019"},{"issue":"1","key":"10.1016\/j.jocs.2026.102891_b38","article-title":"A feature selection method by using chaotic cuckoo search optimization algorithm with elitist preservation and uniform mutation for data classification","volume":"2021","author":"Wang","year":"2021","journal-title":"Discrete Dyn. Nat. Soc."},{"issue":"1","key":"10.1016\/j.jocs.2026.102891_b39","doi-asserted-by":"crossref","first-page":"111","DOI":"10.32604\/iasc.2022.015810","article-title":"Particle swarm optimization with new initializing technique to solve global optimization problems","volume":"31","author":"Ashraf","year":"2022","journal-title":"Intell. Autom. & Soft Comput."},{"issue":"11","key":"10.1016\/j.jocs.2026.102891_b40","doi-asserted-by":"crossref","first-page":"1708","DOI":"10.3390\/math12111708","article-title":"Improved snake optimizer using sobol sequential nonlinear factors and different learning strategies and its applications","volume":"12","author":"Zheng","year":"2024","journal-title":"Mathematics"},{"key":"10.1016\/j.jocs.2026.102891_b41","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1016\/j.asoc.2014.06.004","article-title":"Patch-levy-based initialization algorithm for bees algorithm","volume":"23","author":"Hussein","year":"2014","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.jocs.2026.102891_b42","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/j.asoc.2017.06.044","article-title":"An efficient modified grey wolf optimizer with L\u00e9vy flight for optimization tasks","volume":"60","author":"Heidari","year":"2017","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.jocs.2026.102891_b43","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1016\/j.ins.2014.11.026","article-title":"Cluster-based population initialization for differential evolution frameworks","volume":"297","author":"Poikolainen","year":"2015","journal-title":"Inform. Sci."},{"issue":"1","key":"10.1016\/j.jocs.2026.102891_b44","first-page":"727","article-title":"Optimizing feature selection by enhancing particle swarm optimization with orthogonal initialization and crossover operator","volume":"84","author":"Bala","year":"2025","journal-title":"Comput. Mater. Contin."},{"issue":"1","key":"10.1016\/j.jocs.2026.102891_b45","first-page":"447","article-title":"Multi-objective energy aware task scheduling using orthogonal learning particle swarm optimization on cloud environment","volume":"17","author":"Nagalakshmi","year":"2025","journal-title":"Int. J. Inf. Technol."},{"key":"10.1016\/j.jocs.2026.102891_b46","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2020.113981","article-title":"A k-NN method for lung cancer prognosis with the use of a genetic algorithm for feature selection","volume":"164","author":"Maleki","year":"2021","journal-title":"Expert Syst. Appl."},{"issue":"11","key":"10.1016\/j.jocs.2026.102891_b47","doi-asserted-by":"crossref","first-page":"1424","DOI":"10.1109\/TPAMI.2004.105","article-title":"Hybrid genetic algorithms for feature selection","volume":"26","author":"Oh","year":"2004","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"12","key":"10.1016\/j.jocs.2026.102891_b48","doi-asserted-by":"crossref","first-page":"5233","DOI":"10.1007\/s00500-018-3545-7","article-title":"Differential evolution for feature selection: A fuzzy wrapper\u2013filter approach","volume":"23","author":"Hancer","year":"2019","journal-title":"Soft Comput."},{"issue":"1","key":"10.1016\/j.jocs.2026.102891_b49","doi-asserted-by":"crossref","first-page":"17261","DOI":"10.1038\/s41598-020-74228-0","article-title":"Multi-variant differential evolution algorithm for feature selection","volume":"10","author":"Hassan","year":"2020","journal-title":"Sci. Rep."},{"key":"10.1016\/j.jocs.2026.102891_b50","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1016\/j.engappai.2016.10.008","article-title":"Feature selection for high dimensional imbalanced class data using harmony search","volume":"57","author":"Moayedikia","year":"2017","journal-title":"Eng. Appl. Artif. Intell."},{"issue":"3","key":"10.1016\/j.jocs.2026.102891_b51","doi-asserted-by":"crossref","first-page":"3747","DOI":"10.1016\/j.eswa.2011.09.073","article-title":"A new hybrid ant colony optimization algorithm for feature selection","volume":"39","author":"Kabir","year":"2012","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.jocs.2026.102891_b52","series-title":"Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA) and International Conference on Intelligent Agents, Web Technologies and Internet Commerce","first-page":"695","article-title":"Opposition-based learning: A new scheme for machine intelligence","volume":"vol. 1","author":"Tizhoosh","year":"2005"},{"key":"10.1016\/j.jocs.2026.102891_b53","series-title":"2019 9th International Conference on Computer and Knowledge Engineering","first-page":"300","article-title":"A novel hybrid feature selection based on relieff and binary dragonfly for high dimensional datasets","author":"Karizaki","year":"2019"},{"issue":"18","key":"10.1016\/j.jocs.2026.102891_b54","first-page":"19810","article-title":"Discrete hybrid cuckoo search and simulated annealing algorithm for solving the job shop scheduling problem","volume":"78","author":"Alkhateeb","year":"2022","journal-title":"J. Supercomput."},{"issue":"13","key":"10.1016\/j.jocs.2026.102891_b55","doi-asserted-by":"crossref","first-page":"19274","DOI":"10.1007\/s11227-024-06207-5","article-title":"Hybrid snake optimizer algorithm for solving economic load dispatch problem with valve point effect","volume":"80","author":"Alawad","year":"2024","journal-title":"J. Supercomput."},{"key":"10.1016\/j.jocs.2026.102891_b56","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2019.106064","article-title":"Solving the flexible job shop scheduling problem using an improved jaya algorithm","volume":"137","author":"Caldeira","year":"2019","journal-title":"Comput. Ind. Eng."},{"issue":"4","key":"10.1016\/j.jocs.2026.102891_b57","doi-asserted-by":"crossref","first-page":"3213","DOI":"10.1007\/s13369-020-05141-x","article-title":"Discrete island-based cuckoo search with highly disruptive polynomial mutation and opposition-based learning strategy for scheduling of workflow applications in cloud environments","volume":"46","author":"Alawad","year":"2021","journal-title":"Arab. J. Sci. Eng."},{"key":"10.1016\/j.jocs.2026.102891_b58","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2021.107113","article-title":"Distributed grey wolf optimizer for scheduling of workflow applications in cloud environments","volume":"102","author":"Abed-Alguni","year":"2021","journal-title":"Appl. Soft Comput."},{"issue":"12","key":"10.1016\/j.jocs.2026.102891_b59","doi-asserted-by":"crossref","first-page":"6107","DOI":"10.1007\/s13042-024-02308-y","article-title":"Bi-objective feature selection in high-dimensional datasets using improved binary chimp optimization algorithm","volume":"15","author":"Al-Qudah","year":"2024","journal-title":"Int. J. Mach. Learn. Cybern."},{"key":"10.1016\/j.jocs.2026.102891_b60","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2019.113122","article-title":"Improved salp swarm algorithm based on opposition-based learning and novel local search algorithm for feature selection","volume":"145","author":"Tubishat","year":"2020","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.jocs.2026.102891_b61","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1016\/j.matcom.2019.06.017","article-title":"Opposition-based moth-flame optimization improved by differential evolution for feature selection","volume":"168","author":"Elaziz","year":"2020","journal-title":"Math. Comput. Simulation"},{"issue":"24","key":"10.1016\/j.jocs.2026.102891_b62","doi-asserted-by":"crossref","first-page":"17497","DOI":"10.1007\/s00521-021-06340-9","article-title":"Opposition-based binary competitive optimization algorithm using time-varying V-Shape transfer function for feature selection","volume":"33","author":"Sharafi","year":"2021","journal-title":"Neural Comput. Appl."},{"key":"10.1016\/j.jocs.2026.102891_b63","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2019.105866","article-title":"New feature selection methods based on opposition-based learning and self-adaptive cohort intelligence for predicting patient no-shows","volume":"86","author":"Aladeemy","year":"2020","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.jocs.2026.102891_b64","series-title":"2012 13th International Conference on Parallel and Distributed Computing, Applications and Technologies","first-page":"727","article-title":"Elite opposition-based differential evolution for solving large-scale optimization problems and its implementation on GPU","author":"Zhou","year":"2012"},{"issue":"2","key":"10.1016\/j.jocs.2026.102891_b65","first-page":"1987","article-title":"Adaptive dynamic elite opposition-based ali baba and the forty thieves algorithm for high-dimensional feature selection","volume":"27","author":"Braik","year":"2024","journal-title":"Clust. Comput."},{"key":"10.1016\/j.jocs.2026.102891_b66","doi-asserted-by":"crossref","first-page":"294","DOI":"10.1016\/j.neucom.2015.01.110","article-title":"Elite opposition-based flower pollination algorithm","volume":"188","author":"Zhou","year":"2016","journal-title":"Neurocomputing"},{"key":"10.1016\/j.jocs.2026.102891_b67","series-title":"2017 IEEE 3rd International Conference on Electro-Technology for National Development","first-page":"144","article-title":"Development of a modified bat algorithm using elite opposition-based learning","author":"Haruna","year":"2017"},{"key":"10.1016\/j.jocs.2026.102891_b68","doi-asserted-by":"crossref","first-page":"57805","DOI":"10.1109\/ACCESS.2019.2910813","article-title":"A novel grey wolf optimizer algorithm with refraction learning","volume":"7","author":"Long","year":"2019","journal-title":"IEEE Access"},{"issue":"6","key":"10.1016\/j.jocs.2026.102891_b69","doi-asserted-by":"crossref","first-page":"189","DOI":"10.3390\/a15060189","article-title":"A novel chimp optimization algorithm with refraction learning and its engineering applications","volume":"15","author":"Zhang","year":"2022","journal-title":"Algorithms"},{"issue":"20","key":"10.1016\/j.jocs.2026.102891_b70","doi-asserted-by":"crossref","first-page":"15291","DOI":"10.1007\/s00500-020-04863-2","article-title":"Enhancing artificial bee colony algorithm using refraction principle","volume":"24","author":"Shao","year":"2020","journal-title":"Soft Comput."},{"issue":"9","key":"10.1016\/j.jocs.2026.102891_b71","first-page":"2687","article-title":"Chaotic harmony search algorithms","volume":"216","author":"Alatas","year":"2010","journal-title":"Appl. Math. Comput."},{"issue":"9","key":"10.1016\/j.jocs.2026.102891_b72","doi-asserted-by":"crossref","first-page":"3349","DOI":"10.1007\/s00500-015-1726-1","article-title":"Chaotic cuckoo search","volume":"20","author":"Wang","year":"2016","journal-title":"Soft Comput."},{"key":"10.1016\/j.jocs.2026.102891_b73","doi-asserted-by":"crossref","first-page":"523","DOI":"10.1016\/j.asoc.2014.10.010","article-title":"Chaotic bat swarm optimisation (CBSO)","volume":"26","author":"Jordehi","year":"2015","journal-title":"Appl. Soft Comput."},{"issue":"3","key":"10.1016\/j.jocs.2026.102891_b74","doi-asserted-by":"crossref","first-page":"981","DOI":"10.1007\/s12065-022-00711-4","article-title":"A novel arithmetic optimization algorithm based on chaotic maps for global optimization","volume":"16","author":"Aydemir","year":"2023","journal-title":"Evol. Intell."},{"issue":"7\u20138","key":"10.1016\/j.jocs.2026.102891_b75","doi-asserted-by":"crossref","first-page":"5853","DOI":"10.1007\/s00500-023-09470-5","article-title":"Improved arithmetic optimization algorithm for patient admission scheduling problem","volume":"28","author":"Alawad","year":"2024","journal-title":"Soft Comput."},{"key":"10.1016\/j.jocs.2026.102891_b76","doi-asserted-by":"crossref","first-page":"77416","DOI":"10.1109\/ACCESS.2021.3083220","article-title":"Comparative study on single and multiple chaotic maps incorporated grey wolf optimization algorithms","volume":"9","author":"Xu","year":"2021","journal-title":"IEEE Access"},{"issue":"1","key":"10.1016\/j.jocs.2026.102891_b77","first-page":"2616","article-title":"Enhanced aquila optimizer based on tent chaotic mapping and new rules","volume":"14","author":"Fu","year":"2024","journal-title":"Sci. Rep."},{"issue":"2","key":"10.1016\/j.jocs.2026.102891_b78","first-page":"243","article-title":"Particle swarm optimization with chaos-based initialization for numerical optimization","volume":"23","author":"Tian","year":"2017","journal-title":"Intell. Autom. & Soft Comput."},{"issue":"24","key":"10.1016\/j.jocs.2026.102891_b79","first-page":"21613","article-title":"A novel binary chaotic genetic algorithm for feature selection and its utility in affective computing and healthcare","volume":"34","author":"Tahir","year":"2022","journal-title":"Neural Comput. Appl."},{"key":"10.1016\/j.jocs.2026.102891_b80","doi-asserted-by":"crossref","first-page":"51428","DOI":"10.1109\/ACCESS.2022.3174854","article-title":"Improved reptile search optimization algorithm using chaotic map and simulated annealing for feature selection in medical field","volume":"10","author":"Elgamal","year":"2022","journal-title":"IEEE Access"},{"key":"10.1016\/j.jocs.2026.102891_b81","series-title":"Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods","first-page":"175","article-title":"An efficient moth flame optimization algorithm using chaotic maps for feature selection in medical applications","author":"Khurma","year":"2020"},{"key":"10.1016\/j.jocs.2026.102891_b82","series-title":"Optimization and Inverse Problems in Electromagnetism","first-page":"33","article-title":"Using quasi-random sequences in genetic algorithms","author":"Maaranen","year":"2003"},{"key":"10.1016\/j.jocs.2026.102891_b83","doi-asserted-by":"crossref","first-page":"454","DOI":"10.1016\/j.compeleceng.2017.12.014","article-title":"Opposition-based learning monarch butterfly optimization with Gaussian perturbation for large-scale 0-1 knapsack problem","volume":"67","author":"Feng","year":"2018","journal-title":"Comput. Electr. Eng."},{"key":"10.1016\/j.jocs.2026.102891_b84","doi-asserted-by":"crossref","DOI":"10.1155\/2021\/9922192","article-title":"Gaussian perturbation specular reflection learning and golden-Sine-mechanism-based elephant herding optimization for global optimization problems","volume":"2021","author":"Duan","year":"2021","journal-title":"Comput. Intell. Neurosci."},{"key":"10.1016\/j.jocs.2026.102891_b85","series-title":"Proceedings of the 2023 5th International Conference on Pattern Recognition and Intelligent Systems","first-page":"59","article-title":"Multi-population Runge Kutta optimizer based on Gaussian disturbance","author":"Chen","year":"2023"},{"key":"10.1016\/j.jocs.2026.102891_b86","series-title":"2020 5th International Conference on Computer and Communication Systems","first-page":"352","article-title":"The improved equilibrium optimization algorithm with L\u00e9vy flight","author":"Zhao","year":"2020"},{"issue":"6","key":"10.1016\/j.jocs.2026.102891_b87","doi-asserted-by":"crossref","first-page":"1850","DOI":"10.1007\/s42235-022-00223-y","article-title":"Differential evolution-boosted Sine cosine golden eagle optimizer with L\u00e9vy flight","volume":"19","author":"Hu","year":"2022","journal-title":"J. Bionic Eng."},{"key":"10.1016\/j.jocs.2026.102891_b88","doi-asserted-by":"crossref","first-page":"294","DOI":"10.1016\/j.eswa.2016.05.009","article-title":"A population initialization method for evolutionary algorithms based on clustering and Cauchy deviates","volume":"60","author":"Bajer","year":"2016","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.jocs.2026.102891_b89","series-title":"2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing","first-page":"1","article-title":"A band selection method for hyperspectral image classification based on cuckoo search algorithm with correlation-based initialization","author":"Sawant","year":"2019"},{"issue":"9","key":"10.1016\/j.jocs.2026.102891_b90","doi-asserted-by":"crossref","first-page":"2911","DOI":"10.1109\/TCYB.2016.2630722","article-title":"Sequence-based deterministic initialization for evolutionary algorithms","volume":"47","author":"Elsayed","year":"2017","journal-title":"IEEE Trans. Cybern."},{"key":"10.1016\/j.jocs.2026.102891_b91","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1016\/j.ins.2023.03.138","article-title":"Switching from exploration to exploitation in gravitational search algorithm based on diversity with chaos","volume":"635","author":"Aditya","year":"2023","journal-title":"Inform. Sci."},{"key":"10.1016\/j.jocs.2026.102891_b92","series-title":"2006 6th World Congress on Intelligent Control and Automation","first-page":"7572","article-title":"Power system reactive power optimization based on adaptive particle swarm optimization algorithm","volume":"2","author":"Li","year":"2006"},{"issue":"9","key":"10.1016\/j.jocs.2026.102891_b93","doi-asserted-by":"crossref","first-page":"1293","DOI":"10.3390\/e24091293","article-title":"Entropy-based diversification approach for bio-computing methods","volume":"24","author":"Olivares","year":"2022","journal-title":"Entropy"},{"issue":"12","key":"10.1016\/j.jocs.2026.102891_b94","doi-asserted-by":"crossref","first-page":"5627","DOI":"10.1007\/s12652-021-03226-5","article-title":"Binary jaya algorithm based on binary similarity measure for feature selection","volume":"13","author":"Chaudhuri","year":"2022","journal-title":"J. Ambient. Intell. Humaniz. Comput."},{"issue":"3","key":"10.1016\/j.jocs.2026.102891_b95","doi-asserted-by":"crossref","first-page":"887","DOI":"10.1016\/j.ejor.2004.07.059","article-title":"Some inverse optimization problems under the hamming distance","volume":"170","author":"Duin","year":"2006","journal-title":"European J. Oper. Res."},{"issue":"13","key":"10.1016\/j.jocs.2026.102891_b96","doi-asserted-by":"crossref","first-page":"868","DOI":"10.1007\/s10586-025-05540-5","article-title":"BIARO: An improved artificial rabbit optimization algorithm for feature selection in high-dimensional data","volume":"28","author":"Al-Daom","year":"2025","journal-title":"Clust. Comput."},{"key":"10.1016\/j.jocs.2026.102891_b97","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.129514","article-title":"EvoMapX: An explainable framework for metaheuristic optimization algorithms","volume":"298","author":"Abed-Alguni","year":"2026","journal-title":"Expert Syst. Appl."}],"container-title":["Journal of Computational Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1877750326001092?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1877750326001092?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,6]],"date-time":"2026-06-06T15:40:10Z","timestamp":1780760410000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1877750326001092"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":97,"alternative-id":["S1877750326001092"],"URL":"https:\/\/doi.org\/10.1016\/j.jocs.2026.102891","relation":{},"ISSN":["1877-7503"],"issn-type":[{"value":"1877-7503","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"The effect of different heuristic initialization approaches on the performance of binary population-based optimization algorithms","name":"articletitle","label":"Article Title"},{"value":"Journal of Computational Science","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jocs.2026.102891","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"102891"}}