{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T17:01:02Z","timestamp":1780419662676,"version":"3.54.1"},"reference-count":72,"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"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100014188","name":"Ministry of Science and ICT, South Korea","doi-asserted-by":"publisher","award":["RS-2025-07132976"],"award-info":[{"award-number":["RS-2025-07132976"]}],"id":[{"id":"10.13039\/501100014188","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Applied Soft Computing"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.asoc.2026.115231","type":"journal-article","created":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T23:19:49Z","timestamp":1776295189000},"page":"115231","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Quantum-inspired genetic algorithm with chromosome clustering for 0-1 knapsack problems"],"prefix":"10.1016","volume":"198","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9557-7627","authenticated-orcid":false,"given":"Byoungil","family":"Choi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-1646-0225","authenticated-orcid":false,"given":"Jihye","family":"Jung","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4970-8224","authenticated-orcid":false,"given":"Joonyup","family":"Eun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0068-3564","authenticated-orcid":false,"given":"In-Chan","family":"Choi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.asoc.2026.115231_bib0005","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1098\/rspa.1985.0070","article-title":"Quantum theory, the church\u2013turing principle and the universal quantum Computer","volume":"400","author":"Deutsch","year":"1985","journal-title":"Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences"},{"key":"10.1016\/j.asoc.2026.115231_bib0010","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1007\/BF01011339","article-title":"The computer as a physical system: a microscopic quantum mechanical Hamiltonian model of computers as represented by turing machines","volume":"22","author":"Benioff","year":"1980","journal-title":"J. Stat. Phys."},{"key":"10.1016\/j.asoc.2026.115231_bib0015","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1007\/BF02650179","article-title":"Simulating Physics with computers","volume":"21","author":"Feynman","year":"1982","journal-title":"Int. J. Theor. Phys."},{"key":"10.1016\/j.asoc.2026.115231_bib0020","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1038\/nature08812","article-title":"Quantum Computers","volume":"464","author":"Ladd","year":"2010","journal-title":"Nature"},{"key":"10.1016\/j.asoc.2026.115231_bib0025","series-title":"Proceedings 35th Annual Symposium on Foundations of Computer Science","first-page":"124","article-title":"Algorithms for quantum computation: discrete logarithms and factoring","author":"Shor","year":"1994"},{"key":"10.1016\/j.asoc.2026.115231_bib0030","series-title":"Proceedings of 28th Annual ACM Symposium on Theory of Computing","first-page":"212","article-title":"A fast quantum mechanical algorithm for database search","author":"Grover","year":"1996"},{"key":"10.1016\/j.asoc.2026.115231_bib0035","doi-asserted-by":"crossref","DOI":"10.1103\/PhysRevResearch.2.013056","article-title":"Quantum speedup of branch-and-bound algorithms","volume":"2","author":"Montanaro","year":"2020","journal-title":"Phys. Rev. Res."},{"key":"10.1016\/j.asoc.2026.115231_bib0040","doi-asserted-by":"crossref","DOI":"10.1126\/science.abb2823","article-title":"Materials challenges and opportunities for quantum computing hardware","volume":"372","author":"De Leon","year":"2021","journal-title":"Science"},{"key":"10.1016\/j.asoc.2026.115231_bib0045","doi-asserted-by":"crossref","first-page":"580","DOI":"10.1109\/TEVC.2002.804320","article-title":"Quantum-inspired evolutionary algorithm for a class of combinatorial optimization","volume":"6","author":"Han","year":"2002","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.asoc.2026.115231_bib0050","doi-asserted-by":"crossref","first-page":"13236","DOI":"10.1109\/ACCESS.2017.2723538","article-title":"Entanglement-enhanced quantum-inspired tabu search algorithm for function optimization","volume":"5","author":"Kuo","year":"2017","journal-title":"IEEE Access"},{"key":"10.1016\/j.asoc.2026.115231_bib0055","doi-asserted-by":"crossref","first-page":"510","DOI":"10.1016\/j.ins.2021.07.011","article-title":"Handling multimodal multi-objective problems through self-organizing quantum-inspired particle swarm optimization","volume":"577","author":"Li","year":"2021","journal-title":"Inf. Sci."},{"key":"10.1016\/j.asoc.2026.115231_bib0060","doi-asserted-by":"crossref","first-page":"927","DOI":"10.1016\/j.cor.2009.07.002","article-title":"A novel competitive co-evolutionary quantum genetic algorithm for stochastic job shop scheduling problem","volume":"37","author":"Gu","year":"2010","journal-title":"Comput. Oper. Res."},{"key":"10.1016\/j.asoc.2026.115231_bib0065","doi-asserted-by":"crossref","first-page":"1771","DOI":"10.1007\/s00500-013-1203-7","article-title":"A quantum-inspired tabu search algorithm for solving combinatorial optimization problems","volume":"18","author":"Chiang","year":"2014","journal-title":"Soft Comput."},{"key":"10.1016\/j.asoc.2026.115231_bib0070","doi-asserted-by":"crossref","first-page":"1737","DOI":"10.1109\/TITS.2020.3025796","article-title":"A novel gate resource allocation method using improved pso-based qea","volume":"23","author":"Deng","year":"2020","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"10.1016\/j.asoc.2026.115231_bib0075","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1016\/j.cam.2015.02.016","article-title":"Solving the 0\u20131 quadratic knapsack problem with a competitive quantum inspired evolutionary algorithm","volume":"285","author":"Patvardhan","year":"2015","journal-title":"J. Comput. Appl. Math."},{"key":"10.1016\/j.asoc.2026.115231_bib0080","doi-asserted-by":"crossref","first-page":"1535","DOI":"10.1109\/TSMC.2015.2417509","article-title":"Improved quantum-inspired evolutionary algorithm for large-size lane reservation","volume":"45","author":"Che","year":"2015","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"key":"10.1016\/j.asoc.2026.115231_bib0085","doi-asserted-by":"crossref","first-page":"765","DOI":"10.1016\/j.asoc.2017.07.046","article-title":"A new real-coded quantum-inspired evolutionary algorithm for continuous optimization","volume":"61","author":"Talbi","year":"2017","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.asoc.2026.115231_bib0090","doi-asserted-by":"crossref","first-page":"518","DOI":"10.1109\/TEVC.2016.2638437","article-title":"Seeking multiple solutions: an updated survey on niching methods and their applications","volume":"21","author":"Li","year":"2016","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.asoc.2026.115231_bib0095","series-title":"An Introduction to Quantum Computing","author":"Kaye","year":"2006"},{"key":"10.1016\/j.asoc.2026.115231_bib0100","series-title":"Quantum Computation and Quantum Information","author":"Nielsen","year":"2010"},{"key":"10.1016\/j.asoc.2026.115231_bib0105","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1103\/PhysRevLett.58.353","article-title":"Observation of quantum collapse and revival in a one-atom maser","volume":"58","author":"Rempe","year":"1987","journal-title":"Phys. Rev. Lett."},{"key":"10.1016\/j.asoc.2026.115231_bib0110","doi-asserted-by":"crossref","first-page":"814","DOI":"10.1109\/ACCESS.2019.2962155","article-title":"A review of quantum-inspired metaheuristics: going from classical computers to real quantum computers","volume":"8","author":"Ross","year":"2019","journal-title":"IEEE Access"},{"key":"10.1016\/j.asoc.2026.115231_bib0115","series-title":"Proceedings of the 2001 Congress on Evolutionary Computation","first-page":"1422","article-title":"Parallel quantum-inspired genetic algorithm for combinatorial optimization problem","volume":"vol. 2","author":"Han","year":"2001"},{"key":"10.1016\/j.asoc.2026.115231_bib0120","series-title":"Proceedings of IEEE International Conference on Evolutionary Computation","first-page":"61","article-title":"Quantum-inspired genetic algorithms","author":"Narayanan","year":"1996"},{"key":"10.1016\/j.asoc.2026.115231_bib0125","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1007\/s10732-010-9136-0","article-title":"Quantum-inspired evolutionary algorithms: a survey and empirical study","volume":"17","author":"Zhang","year":"2011","journal-title":"J. Heuristics"},{"key":"10.1016\/j.asoc.2026.115231_bib0130","article-title":"Quantum-inspired metaheuristic algorithms for industry 4.0: a scientometric analysis","volume":"139","author":"Sood","year":"2025","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.asoc.2026.115231_bib0135","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2021.107080","article-title":"Quantum differential evolution with cooperative coevolution framework and hybrid mutation strategy for large scale optimization","volume":"224","author":"Deng","year":"2021","journal-title":"Knowl. based Syst."},{"key":"10.1016\/j.asoc.2026.115231_bib0140","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2020.106578","article-title":"Imprecise modified solid green traveling purchaser problem for substitute items using quantum-inspired genetic algorithm","volume":"147","author":"Pradhan","year":"2020","journal-title":"Comput. Ind. Eng."},{"key":"10.1016\/j.asoc.2026.115231_bib0145","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2023.101309","article-title":"Adam-assisted quantum particle swarm optimization guided by length of potential well for numerical function optimization","volume":"79","author":"Wang","year":"2023","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.asoc.2026.115231_bib0150","doi-asserted-by":"crossref","first-page":"445","DOI":"10.1016\/j.future.2024.04.008","article-title":"Quantum particle swarm optimization algorithm based on diversity migration strategy","volume":"157","author":"Gong","year":"2024","journal-title":"Future Gener. Comput. Syst."},{"key":"10.1016\/j.asoc.2026.115231_bib0155","first-page":"313","article-title":"An improved quantum-inspired particle swarm optimisation approach to reduce energy consumption in IOT networks","volume":"6","author":"Mahmoudi","year":"2025","journal-title":"Int. J. Cogn. Comput. Eng."},{"key":"10.1016\/j.asoc.2026.115231_bib0160","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-025-14793-4","article-title":"Quantum-inspired gravitationally guided particle swarm optimization for feature selection and classification","volume":"15","author":"Malik","year":"2025","journal-title":"Sci. Rep."},{"key":"10.1016\/j.asoc.2026.115231_bib0165","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1007\/s10586-024-04833-5","article-title":"Energy-efficient task offloading and efficient resource allocation for edge computing: a quantum inspired particle swarm optimization approach","volume":"28","author":"Naik","year":"2025","journal-title":"Clust. Comput."},{"key":"10.1016\/j.asoc.2026.115231_bib0170","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2020.107077","article-title":"A KNN quantum cuckoo search algorithm applied to the multidimensional knapsack problem","volume":"102","author":"Garc\u00eda","year":"2021","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.asoc.2026.115231_bib0175","doi-asserted-by":"crossref","first-page":"1234","DOI":"10.1109\/TSMCB.2008.927271","article-title":"Quantum-inspired immune clonal algorithm for global optimization","volume":"38","author":"Jiao","year":"2008","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)"},{"key":"10.1016\/j.asoc.2026.115231_bib0180","article-title":"A quantum-enhanced heuristic algorithm for optimizing aircraft landing problems in low-altitude intelligent transportation systems","volume":"15","author":"Lu","year":"2025","journal-title":"Sci. Rep."},{"key":"10.1016\/j.asoc.2026.115231_bib0185","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2024.125762","article-title":"Quantum-inspired gravitational search algorithm-based low-price binary task offloading for multi-users in unmanned aerial vehicle-assisted edge computing systems","volume":"263","author":"Ghosh","year":"2025","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.asoc.2026.115231_bib0190","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2022.108674","article-title":"Quantum-inspired evolutionary algorithm applied to neural architecture search","volume":"120","author":"Szwarcman","year":"2022","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.asoc.2026.115231_bib0195","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.swevo.2016.06.003","article-title":"A quantum-inspired genetic algorithm for solving the antenna positioning problem","volume":"31","author":"Dahi","year":"2016","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.asoc.2026.115231_bib0200","article-title":"Quantum inspired electronic beam scanner with directional jamming mitigation characteristics using time modulation","author":"Chakraborty","year":"2025","journal-title":"Phys. Commun."},{"key":"10.1016\/j.asoc.2026.115231_bib0205","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TITS.2025.3591936","article-title":"Quantum-inspired metaheuristic algorithms for trust-based privacy agreements and secure access in the internet of vehicles","author":"Singh","year":"2025","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"10.1016\/j.asoc.2026.115231_bib0210","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1007\/s12559-025-10486-2","article-title":"Quantum-inspired multi-objective seahorse optimizer for predictive maintenance analysis using numerical association rule mining","volume":"17","author":"Yacoubi","year":"2025","journal-title":"Cogn. Comput."},{"key":"10.1016\/j.asoc.2026.115231_bib0215","doi-asserted-by":"crossref","first-page":"581","DOI":"10.1016\/j.neucom.2007.11.017","article-title":"Quantum-inspired evolutionary algorithm for continuous space optimization based on Bloch coordinates of qubits","volume":"72","author":"Li","year":"2008","journal-title":"Neurocomputing"},{"key":"10.1016\/j.asoc.2026.115231_bib0220","doi-asserted-by":"crossref","first-page":"1086","DOI":"10.1016\/j.comcom.2008.12.036","article-title":"An adaptive-evolution-based quantum-inspired evolutionary algorithm for QOS multicasting in ip\/dwdm networks","volume":"32","author":"Xing","year":"2009","journal-title":"Comput. Commun."},{"key":"10.1016\/j.asoc.2026.115231_bib0225","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2021.114629","article-title":"An improved quantum-inspired cooperative co-evolution algorithm with muli-strategy and its application","volume":"171","author":"Cai","year":"2021","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.asoc.2026.115231_bib0230","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2025.113019","article-title":"A quantum entanglement-based optimization method for complex expensive engineering problems","volume":"174","author":"Peng","year":"2025","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.asoc.2026.115231_bib0235","article-title":"Quantum-inspired swarm optimization algorithms for multi-objective problems","author":"Chen","year":"2025","journal-title":"J. Optim. Theory Appl."},{"key":"10.1016\/j.asoc.2026.115231_bib0240","doi-asserted-by":"crossref","first-page":"658","DOI":"10.1016\/j.ejor.2007.06.068","article-title":"Heuristics for the 0\u20131 multidimensional knapsack problem","volume":"199","author":"Boyer","year":"2009","journal-title":"Eur. J. Oper. Res."},{"key":"10.1016\/j.asoc.2026.115231_bib0245","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/0167-6377(90)90035-4","article-title":"An exact algorithm for large unbounded knapsack problems","volume":"9","author":"Martello","year":"1990","journal-title":"Oper. Res. Lett."},{"key":"10.1016\/j.asoc.2026.115231_bib0250","first-page":"1012","article-title":"Quantum-inspired ant algorithm for knapsack problems","volume":"20","author":"Honggang","year":"2009","journal-title":"J. Syst. Eng. Electron."},{"key":"10.1016\/j.asoc.2026.115231_bib0255","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.ins.2013.04.018","article-title":"An adaptive population multi-objective quantum-inspired evolutionary algorithm for multi-objective 0\/1 knapsack problems","volume":"243","author":"Lu","year":"2013","journal-title":"Inf. Sci."},{"key":"10.1016\/j.asoc.2026.115231_bib0260","first-page":"120","article-title":"A quantum-inspired artificial immune system for the multiobjective 0\u20131 knapsack problem","volume":"230","author":"Gao","year":"2014","journal-title":"Appl. Math. Comput."},{"key":"10.1016\/j.asoc.2026.115231_bib0265","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1007\/s12293-015-0162-1","article-title":"Quantum-inspired evolutionary algorithm for difficult knapsack problems","volume":"7","author":"Patvardhan","year":"2015","journal-title":"Memetic Comput."},{"key":"10.1016\/j.asoc.2026.115231_bib0270","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1016\/j.swevo.2015.09.005","article-title":"Parallel improved quantum inspired evolutionary algorithm to solve large size quadratic knapsack problems","volume":"26","author":"Patvardhan","year":"2016","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.asoc.2026.115231_bib0275","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.engappai.2016.05.006","article-title":"A hybrid quantum particle swarm optimization for the multidimensional knapsack problem","volume":"55","author":"Haddar","year":"2016","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.asoc.2026.115231_bib0280","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2020.113310","article-title":"Diversity-preserving quantum particle swarm optimization for the multidimensional knapsack problem","volume":"149","author":"Lai","year":"2020","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.asoc.2026.115231_bib0285","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1023\/A:1011319115230","article-title":"Experimental evaluation of heuristic optimization algorithms: a tutorial","volume":"7","author":"Rardin","year":"2001","journal-title":"J. Heuristics"},{"key":"10.1016\/j.asoc.2026.115231_bib0290","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1016\/j.ijepes.2010.08.014","article-title":"Quantum genetic algorithm for dynamic economic dispatch with valve-point effects and including wind power system","volume":"33","author":"Lee","year":"2011","journal-title":"Int. J. Electr. Power Energy Syst."},{"key":"10.1016\/j.asoc.2026.115231_bib0295","doi-asserted-by":"crossref","first-page":"986","DOI":"10.1109\/TFUZZ.2020.2966182","article-title":"Determine the number of unknown targets in open world based on elbow method","volume":"29","author":"Liu","year":"2020","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"10.1016\/j.asoc.2026.115231_bib0300","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1016\/j.ins.2017.12.059","article-title":"A pearson\u2019s correlation coefficient based decision tree and its parallel implementation","volume":"435","author":"Mu","year":"2018","journal-title":"Inf. Sci."},{"key":"10.1016\/j.asoc.2026.115231_bib0305","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1023\/A:1021841728075","article-title":"Heuristic methods for large centroid clustering problems","volume":"9","author":"Taillard","year":"2003","journal-title":"J. Heuristics"},{"key":"10.1016\/j.asoc.2026.115231_bib0310","series-title":"International Symposium on Intelligent Information Technology and Security Informatics","first-page":"63","article-title":"Research on k-means clustering algorithm: an improved k-means clustering algorithm","author":"Na","year":"2010"},{"key":"10.1016\/j.asoc.2026.115231_bib0315","doi-asserted-by":"crossref","first-page":"2271","DOI":"10.1016\/j.cor.2004.03.002","article-title":"Where are the hard knapsack problems?","volume":"32","author":"Pisinger","year":"2005","journal-title":"Comput. Oper. Res."},{"key":"10.1016\/j.asoc.2026.115231_bib0320","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1016\/S0377-2217(01)00179-5","article-title":"The nonlinear knapsack problem\u2013algorithms and applications","volume":"138","author":"Bretthauer","year":"2002","journal-title":"Eur. J. Oper. Res."},{"key":"10.1016\/j.asoc.2026.115231_bib0325","doi-asserted-by":"crossref","first-page":"565","DOI":"10.1016\/S0377-2217(03)00244-3","article-title":"An exact method based on lagrangian decomposition for the 0\u20131 quadratic knapsack problem","volume":"157","author":"Billionnet","year":"2004","journal-title":"Eur. J. Oper. Res."},{"key":"10.1016\/j.asoc.2026.115231_bib0330","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1007\/s12293-017-0232-7","article-title":"Guided genetic algorithm for the multidimensional knapsack problem","volume":"10","author":"Rezoug","year":"2018","journal-title":"Memetic Comput."},{"key":"10.1016\/j.asoc.2026.115231_bib0335","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1109\/TEVC.2003.814633","article-title":"Elitism-based compact genetic algorithms","volume":"7","author":"Ahn","year":"2003","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.asoc.2026.115231_bib0340","doi-asserted-by":"crossref","first-page":"3458","DOI":"10.1016\/j.cor.2006.02.008","article-title":"MOTGA: a multiobjective tchebycheff based genetic algorithm for the multidimensional knapsack problem","volume":"34","author":"Alves","year":"2007","journal-title":"Comput. Oper. Res."},{"key":"10.1016\/j.asoc.2026.115231_bib0345","article-title":"Unmanned aerial vehicle and autonomous delivery robot station for last-mile delivery services","volume":"12","author":"Choi","year":"2025","journal-title":"Int. J. Syst. Sci. Oper. Logist."},{"key":"10.1016\/j.asoc.2026.115231_bib0350","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1111\/deci.12478","article-title":"Predicting daily surgical volumes using probabilistic estimates of providers\u2019 future availability","volume":"53","author":"Eun","year":"2022","journal-title":"Decis. Sci."},{"key":"10.1016\/j.asoc.2026.115231_bib0355","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1007\/s00521-026-11958-8","article-title":"Multi-objective optimization for home health care scheduling under uncertainty using fuzzy logic and non-dominated sorting genetic algorithm II","volume":"38","author":"Chaieb","year":"2026","journal-title":"Neural Comput. Appl."},{"key":"10.1016\/j.asoc.2026.115231_bib0360","first-page":"1","article-title":"SteelQC-VGG: a deep learning-driven quality control system for automated surface defect classification in steel manufacturing","author":"Chaieb","year":"2025","journal-title":"J. Intell. Manuf."}],"container-title":["Applied Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1568494626006794?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1568494626006794?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T16:01:03Z","timestamp":1780416063000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1568494626006794"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":72,"alternative-id":["S1568494626006794"],"URL":"https:\/\/doi.org\/10.1016\/j.asoc.2026.115231","relation":{},"ISSN":["1568-4946"],"issn-type":[{"value":"1568-4946","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Quantum-inspired genetic algorithm with chromosome clustering for 0-1 knapsack problems","name":"articletitle","label":"Article Title"},{"value":"Applied Soft Computing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.asoc.2026.115231","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":"115231"}}