{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T05:58:04Z","timestamp":1769147884327,"version":"3.49.0"},"reference-count":50,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2018,12,1]],"date-time":"2018-12-01T00:00:00Z","timestamp":1543622400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2018,12,1]],"date-time":"2018-12-01T00:00:00Z","timestamp":1543622400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Expert Systems with Applications"],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1016\/j.eswa.2018.07.008","type":"journal-article","created":{"date-parts":[[2018,7,21]],"date-time":"2018-07-21T01:27:54Z","timestamp":1532136474000},"page":"515-530","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":64,"special_numbering":"C","title":["A hybrid algorithm based on self-adaptive gravitational search algorithm and differential evolution"],"prefix":"10.1016","volume":"113","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7336-9699","authenticated-orcid":false,"given":"Fuqing","family":"Zhao","sequence":"first","affiliation":[]},{"given":"Feilong","family":"Xue","sequence":"additional","affiliation":[]},{"given":"Yi","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Weimin","family":"Ma","sequence":"additional","affiliation":[]},{"given":"Chuck","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Houbin","family":"Song","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.eswa.2018.07.008_bib0001","unstructured":"Awad, N. H., Ali, M. Z., Liang, J. J., Qu, B. Y., & Suganthan, P. N. (2016). Problem definitions and evaluation criteria for the CEC 2017 special session and competition on single objective real-parameter numerical optimization."},{"key":"10.1016\/j.eswa.2018.07.008_bib0002","doi-asserted-by":"crossref","first-page":"185","DOI":"10.2528\/PIERB13030709","article-title":"Decomposition-based evolutionary multi-objective optimization approach to the design of concentric circular antenna arrays","volume":"52","author":"Biswas","year":"2013","journal-title":"Progress in Electromagnetics Research B"},{"key":"10.1016\/j.eswa.2018.07.008_bib0003","first-page":"1076","article-title":"Evaluating the performance of group counseling optimizer on CEC 2014 problems for computational expensive optimization","author":"Biswas","year":"2014","journal-title":"Evolutionary Computation"},{"key":"10.1016\/j.eswa.2018.07.008_bib0004","first-page":"61","article-title":"Synchronizing differential evolution with a modified affinity-based mutation framework","author":"Biswas","year":"2013","journal-title":"Differential Evolution"},{"key":"10.1016\/j.eswa.2018.07.008_bib0005","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1109\/TEVC.2014.2313659","article-title":"Inducing niching behavior in differential evolution through local information sharing","volume":"19","author":"Biswas","year":"2015","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"10.1016\/j.eswa.2018.07.008_bib0006","first-page":"1311","article-title":"Single objective real-parameter optimization: Algorithm jSO","author":"Brest","year":"2017","journal-title":"Evolutionary Computation"},{"key":"10.1016\/j.eswa.2018.07.008_bib0007","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1109\/MCI.2006.329691","article-title":"Ant colony optimization","volume":"1","author":"Dorigo","year":"2004","journal-title":"Computational Intelligence Magazine IEEE"},{"key":"10.1016\/j.eswa.2018.07.008_bib0008","article-title":"Erratum to: Cuckoo search algorithm: A metaheuristic approach to solve structural optimization problems","volume":"29","author":"Gandomi","year":"2013","journal-title":"Engineering with Computers"},{"key":"10.1016\/j.eswa.2018.07.008_bib0009","series-title":"International Conference on Contemporary Computing","first-page":"1","article-title":"Hybridization of gravitational search algorithm and biogeography based optimization and its application on grid scheduling problem","author":"Goel","year":"2017"},{"key":"10.1016\/j.eswa.2018.07.008_bib0010","article-title":"Evolutionary families of analytic functions and time-nonhomogeneous Markov branching processes","volume":"53","author":"Goryajnov","year":"1996","journal-title":"Doklady Mathematics"},{"key":"10.1016\/j.eswa.2018.07.008_bib0011","doi-asserted-by":"crossref","first-page":"7000","DOI":"10.1016\/j.eswa.2015.05.017","article-title":"Disruption based gravitational search algorithm for short term hydrothermal scheduling","volume":"42","author":"Gouthamkumar","year":"2015","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2018.07.008_bib0012","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.engappai.2016.11.003","article-title":"A novel data clustering algorithm based on modified gravitational search algorithm","volume":"61","author":"Han","year":"2017","journal-title":"Engineering Applications of Artificial Intelligence"},{"key":"10.1016\/j.eswa.2018.07.008_bib0013","series-title":"Practical Genetic Algorithms","author":"Haupt","year":"2004"},{"key":"10.1016\/j.eswa.2018.07.008_bib0014","doi-asserted-by":"crossref","DOI":"10.1016\/j.biosystems.2017.09.013","article-title":"An improved hybrid of particle swarm optimization and the gravitational search algorithm to produce a kinetic parameter estimation of aspartate biochemical pathways","volume":"162","author":"Ismail","year":"2017","journal-title":"Biosystems"},{"key":"10.1016\/j.eswa.2018.07.008_bib0015","doi-asserted-by":"crossref","DOI":"10.1109\/ACCESS.2017.2748957","article-title":"Self-adaptive gravitational search algorithm with a modified chaotic local search","author":"Ji","year":"2017","journal-title":"IEEE Access, PP"},{"key":"10.1016\/j.eswa.2018.07.008_bib0016","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1016\/j.asoc.2014.07.016","article-title":"Convergence analysis and performance of an improved gravitational search algorithm","volume":"24","author":"Jiang","year":"2014","journal-title":"Applied Soft Computing"},{"key":"10.1016\/j.eswa.2018.07.008_bib0017","first-page":"37","article-title":"Gravitational search algorithm with linearly decreasing gravitational constant for parameter estimation of photovoltaic cells","author":"Jordehi","year":"2017","journal-title":"Evolutionary Computation"},{"key":"10.1016\/j.eswa.2018.07.008_bib0018","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2018.02.037","article-title":"A hybrid gravitational search algorithm with swarm intelligence and deep convolutional feature for object tracking optimization","volume":"66","author":"Kang","year":"2018","journal-title":"Applied Soft Computing"},{"key":"10.1016\/j.eswa.2018.07.008_bib0019","series-title":"IEEE international conference on neural networks, 1995. proceedings","first-page":"1942","article-title":"Particle swarm optimization","volume":"1944","author":"Kennedy","year":"1995"},{"key":"10.1016\/j.eswa.2018.07.008_bib0020","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1016\/j.asoc.2013.12.008","article-title":"A hybrid approach based on an improved gravitational search algorithm and orthogonal crossover for optimal shape design of concrete gravity dams","volume":"16","author":"Khatibinia","year":"2014","journal-title":"Applied Soft Computing"},{"key":"10.1016\/j.eswa.2018.07.008_bib0021","series-title":"Proceedings of the 15th annual conference on genetic and evolutionary computation","first-page":"33","article-title":"Crowding-based local differential evolution with speciation-based memory archive for dynamic multimodal optimization","author":"Kundu","year":"2013"},{"key":"10.1016\/j.eswa.2018.07.008_bib0022","doi-asserted-by":"crossref","first-page":"637","DOI":"10.1007\/s00500-014-1286-9","article-title":"A modified differential evolution-based combined routing and sleep scheduling scheme for lifetime maximization of wireless sensor networks","volume":"19","author":"Kundu","year":"2015","journal-title":"Soft Computing"},{"key":"10.1016\/j.eswa.2018.07.008_bib0023","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1016\/j.asoc.2018.01.030","article-title":"A maximum power point tracking method for PV system with improved gravitational search algorithm","volume":"65","author":"Li","year":"2018","journal-title":"Applied Soft Computing"},{"key":"10.1016\/j.eswa.2018.07.008_bib0024","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1016\/j.asoc.2017.01.008","article-title":"Chaotic gravitational constants for the gravitational search algorithm","volume":"53","author":"Mirjalili","year":"2017","journal-title":"Applied Soft Computing"},{"key":"10.1016\/j.eswa.2018.07.008_bib0025","series-title":"International conference on contemporary computing","first-page":"1","article-title":"Chaotic Kbest gravitational search algorithm (CKGSA)","author":"Mittal","year":"2017"},{"key":"10.1016\/j.eswa.2018.07.008_bib0026","first-page":"617","article-title":"A study on the use of non-parametric tests for analyzing the evolutionary algorithms' behaviour: A case study on the CEC'2005 special session on real parameter optimization","volume":"15","author":"Molina","year":"2009","journal-title":"Journal of Heuristics"},{"key":"10.1016\/j.eswa.2018.07.008_bib0027","article-title":"Design and analysis of experiments","volume":"48","author":"Montgomery","year":"2006","journal-title":"Technometrics"},{"key":"10.1016\/j.eswa.2018.07.008_bib0028","series-title":"International conference on electrical, electronics, signals, communication and optimization","article-title":"A new hybrid CS-GSA algorithm for function optimization","author":"Naik","year":"2015"},{"key":"10.1016\/j.eswa.2018.07.008_bib0029","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1142\/S1793005711001986","article-title":"DE-PSO: A new hybrid meta-heuristic for solving global optimization problems","volume":"7","author":"PANT","year":"2011","journal-title":"New Mathematics & Natural Computation"},{"key":"10.1016\/j.eswa.2018.07.008_bib0030","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2018.02.026","article-title":"Neural network and fuzzy system for the tuning of gravitational search algorithm parameters","volume":"102","author":"Pelusi","year":"2018","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2018.07.008_bib0031","series-title":"GSA: A gravitational search algorithm","author":"Rashedi","year":"2009"},{"key":"10.1016\/j.eswa.2018.07.008_bib0032","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.ins.2013.09.006","article-title":"A quantum inspired gravitational search algorithm for numerical function optimization","volume":"267","author":"Soleimanpour-Moghadam","year":"2014","journal-title":"Information Sciences"},{"key":"10.1016\/j.eswa.2018.07.008_bib0033","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1023\/A:1008202821328","article-title":"Differential evolution \u2013 A simple and efficient heuristic for global optimization over continuous spaces","volume":"11","author":"Storn","year":"1997","journal-title":"Journal of Global Optimization"},{"key":"10.1016\/j.eswa.2018.07.008_bib0034","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2017.10.018","article-title":"A stability constrained adaptive alpha for gravitational search algorithm","volume":"139","author":"Sun","year":"2018","journal-title":"Knowledge-Based Systems"},{"key":"10.1016\/j.eswa.2018.07.008_bib0035","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1016\/j.knosys.2016.04.017","article-title":"Locally informed gravitational search algorithm","volume":"104","author":"Sun","year":"2016","journal-title":"Knowledge-Based Systems"},{"key":"10.1016\/j.eswa.2018.07.008_bib0036","first-page":"71","article-title":"Success-history based parameter adaptation for differential evolution","author":"Tanabe","year":"2013","journal-title":"Evolutionary Computation"},{"key":"10.1016\/j.eswa.2018.07.008_bib0037","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1016\/j.ins.2016.03.023","article-title":"A genetic algorithm \u2013 Differential evolution based hybrid framework: Case study on unit commitment scheduling problem","volume":"354","author":"Trivedi","year":"2016","journal-title":"Information Sciences"},{"key":"10.1016\/j.eswa.2018.07.008_bib0038","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/j.neucom.2016.03.092","article-title":"An improved gravitational search algorithm for green partner selection in virtual enterprises","volume":"217","author":"Xiao","year":"2016","journal-title":"Neurocomputing"},{"key":"10.1016\/j.eswa.2018.07.008_bib0039","doi-asserted-by":"crossref","unstructured":"Yang, X. S. (2018). Mathematical analysis of nature-inspired algorithms.","DOI":"10.1007\/978-3-030-16936-7"},{"key":"10.1016\/j.eswa.2018.07.008_bib0040","article-title":"Improved gravitational search algorithm with crossover","author":"Yin","year":"2017","journal-title":"Computers & Electrical Engineering"},{"key":"10.1016\/j.eswa.2018.07.008_bib0041","first-page":"1","article-title":"A dynamic neighborhood learning-based gravitational search algorithm","author":"Zhang","year":"2016","journal-title":"IEEE Transactions on Cybernetics"},{"key":"10.1016\/j.eswa.2018.07.008_bib0042","doi-asserted-by":"crossref","unstructured":"Zhang, X., Zou, D., & Shen, X. (2017). A simplified and efficient gravitational search algorithm for unconstrained optimization problems. 11\u201317.","DOI":"10.1109\/ICVISP.2017.14"},{"key":"10.1016\/j.eswa.2018.07.008_bib0043","article-title":"A discrete water wave optimization algorithm for no-wait flow shop scheduling problem","volume":"91","author":"Zhao","year":"2017","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2018.07.008_bib0044","doi-asserted-by":"crossref","first-page":"962","DOI":"10.1080\/0951192X.2015.1130240","article-title":"A chaotic local search based bacterial foraging algorithm and its application to a permutation flow-shop scheduling problem","volume":"29","author":"Zhao","year":"2016","journal-title":"International Journal of Computer Integrated Manufacturing"},{"key":"10.1016\/j.eswa.2018.07.008_bib0045","doi-asserted-by":"crossref","first-page":"7436","DOI":"10.1016\/j.eswa.2015.05.035","article-title":"A self-adaptive harmony PSO search algorithm and its performance analysis","volume":"42","author":"Zhao","year":"2015","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2018.07.008_bib0046","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1016\/j.engappai.2017.07.023","article-title":"A hybrid harmony search algorithm with efficient job sequence scheme and variable neighborhood search for the permutation flow shop scheduling problems","volume":"65","author":"Zhao","year":"2017","journal-title":"Engineering Applications of Artificial Intelligence"},{"key":"10.1016\/j.eswa.2018.07.008_bib0047","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1007\/s40314-015-0237-0","article-title":"A hybrid optimization algorithm based on chaotic differential evolution and estimation of distribution","volume":"36","author":"Zhao","year":"2015","journal-title":"Computational and Applied Mathematics"},{"key":"10.1016\/j.eswa.2018.07.008_bib0048","first-page":"1","article-title":"A hybrid differential evolution and estimation of distribution algorithm based on neighbourhood search for job shop scheduling problems","volume":"54","author":"Zhao","year":"2017","journal-title":"International Journal of Production Research"},{"key":"10.1016\/j.eswa.2018.07.008_bib0049","doi-asserted-by":"crossref","first-page":"3953","DOI":"10.1016\/j.eswa.2015.01.007","article-title":"An improved shuffled complex evolution algorithm with sequence mapping mechanism for job shop scheduling problems","volume":"42","author":"Zhao","year":"2015","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2018.07.008_bib0050","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.cor.2014.10.008","article-title":"Water wave optimization: A new nature-inspired metaheuristic","volume":"55","author":"Zheng","year":"2015","journal-title":"Computers & Operations Research"}],"container-title":["Expert Systems with Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S095741741830424X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S095741741830424X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T04:37:11Z","timestamp":1760675831000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S095741741830424X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12]]},"references-count":50,"alternative-id":["S095741741830424X"],"URL":"https:\/\/doi.org\/10.1016\/j.eswa.2018.07.008","relation":{},"ISSN":["0957-4174"],"issn-type":[{"value":"0957-4174","type":"print"}],"subject":[],"published":{"date-parts":[[2018,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A hybrid algorithm based on self-adaptive gravitational search algorithm and differential evolution","name":"articletitle","label":"Article Title"},{"value":"Expert Systems with Applications","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.eswa.2018.07.008","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2018 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}]}}