{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T08:12:32Z","timestamp":1787731952913,"version":"build-2784847793"},"reference-count":78,"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\/501100013076","name":"National Major Science and Technology Projects of China","doi-asserted-by":"publisher","award":["2025ZD1602400"],"award-info":[{"award-number":["2025ZD1602400"]}],"id":[{"id":"10.13039\/501100013076","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003787","name":"Natural Science Foundation of Hebei Province","doi-asserted-by":"publisher","award":["CXZZSS2026187"],"award-info":[{"award-number":["CXZZSS2026187"]}],"id":[{"id":"10.13039\/501100003787","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007595","name":"Belarusian Republican Foundation for Fundamental Research","doi-asserted-by":"publisher","award":["23PH-017"],"award-info":[{"award-number":["23PH-017"]}],"id":[{"id":"10.13039\/100007595","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007595","name":"Belarusian Republican Foundation for Fundamental Research","doi-asserted-by":"publisher","award":["jls-end-space\/]-017"],"award-info":[{"award-number":["jls-end-space\/]-017"]}],"id":[{"id":"10.13039\/100007595","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007595","name":"Belarusian Republican Foundation for Fundamental Research","doi-asserted-by":"publisher","award":["F26KI-009"],"award-info":[{"award-number":["F26KI-009"]}],"id":[{"id":"10.13039\/100007595","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["W2521095"],"award-info":[{"award-number":["W2521095"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["92367106"],"award-info":[{"award-number":["92367106"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Expert Systems with Applications"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.eswa.2026.132031","type":"journal-article","created":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T08:58:06Z","timestamp":1775120286000},"page":"132031","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":2,"special_numbering":"C","title":["A hybrid differential evolution with discrete cosine transform-based mutation strategy and dynamic diversity mechanism"],"prefix":"10.1016","volume":"321","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-6357-0525","authenticated-orcid":false,"given":"Liangliang","family":"Sun","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-8655-5005","authenticated-orcid":false,"given":"Liqi","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-2400-6937","authenticated-orcid":false,"given":"Zhenghao","family":"Song","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2479-8195","authenticated-orcid":false,"given":"Qichun","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8010-9759","authenticated-orcid":false,"given":"Natalja","family":"Matsveichuk","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9971-6169","authenticated-orcid":false,"given":"Yuri","family":"Sotskov","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"5","key":"10.1016\/j.eswa.2026.132031_bib0001","doi-asserted-by":"crossref","first-page":"3831","DOI":"10.1016\/j.aej.2021.09.013","article-title":"Differential evolution: A recent review based on state-of-the-art works","volume":"61","author":"Ahmad","year":"2022","journal-title":"Alexandria Engineering Journal"},{"issue":"6","key":"10.1016\/j.eswa.2026.132031_bib0002","doi-asserted-by":"crossref","first-page":"646","DOI":"10.1109\/TEVC.2006.872133","article-title":"Self-adapting control parameters in differential evolution: A comparative study on numerical benchmark problems","volume":"10","author":"Brest","year":"2006","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"10.1016\/j.eswa.2026.132031_bib0003","series-title":"2017 IEEE congress on evolutionary computation (CEC)","first-page":"1311","article-title":"Single objective real-parameter optimization: Algorithm jSO","author":"Brest","year":"2017"},{"key":"10.1016\/j.eswa.2026.132031_bib0004","series-title":"2022 IEEE congress on evolutionary computation (CEC)","first-page":"1","article-title":"Eigen crossover in cooperative model of evolutionary algorithms applied to CEC 2022 single objective numerical optimisation","author":"Bujok","year":"2022"},{"key":"10.1016\/j.eswa.2026.132031_bib0005","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":"Computers & Industrial Engineering"},{"key":"10.1016\/j.eswa.2026.132031_bib0006","unstructured":"Chauhan, D., Trivedi, A. et al. (2024). A multi-operator ensemble LSHADE with restart and local search mechanisms for single-objective optimization. arXiv preprint arXiv: 2409.15994."},{"key":"10.1016\/j.eswa.2026.132031_bib0007","series-title":"2018 International conference on sustainable energy, electronics, and computing systems (SEEMS)","first-page":"1","article-title":"Efficient recursive algorithm for discrete cosine transform and inverse discrete cosine transform","author":"Dahiya","year":"2018"},{"issue":"11","key":"10.1016\/j.eswa.2026.132031_bib0008","doi-asserted-by":"crossref","first-page":"18460","DOI":"10.1109\/TITS.2025.3594782","article-title":"Multi-strategy quantum differential evolution algorithm with cooperative co-evolution and hybrid search for capacitated vehicle routing","volume":"26","author":"Deng","year":"2025","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"10.1016\/j.eswa.2026.132031_bib0009","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2025.102248","article-title":"SFG-DE: An explainable and evolvable differential evolution for learning to generate operator structures","volume":"100","author":"Gao","year":"2026","journal-title":"Swarm and Evolutionary Computation"},{"key":"10.1016\/j.eswa.2026.132031_bib0010","doi-asserted-by":"crossref","DOI":"10.1016\/j.enconman.2020.113784","article-title":"A state-of-the-art differential evolution algorithm for parameter estimation of solar photovoltaic models","volume":"230","author":"Gao","year":"2021","journal-title":"Energy Conversion and Management"},{"key":"10.1016\/j.eswa.2026.132031_bib0011","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.130876","article-title":"Cooperative co-evolution based differential evolutional algorithm","volume":"307","author":"Gou","year":"2026","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2026.132031_bib0012","doi-asserted-by":"crossref","DOI":"10.1016\/j.ins.2026.123146","article-title":"An adaptive differential evolution with deeply informed mutation strategy and historical information for numerical optimization","volume":"739","author":"Gou","year":"2026","journal-title":"Information Sciences"},{"key":"10.1016\/j.eswa.2026.132031_bib0013","doi-asserted-by":"crossref","first-page":"2676","DOI":"10.1093\/ijlct\/ctae231","article-title":"Optimizing switch placement and status for sustainable grid operation and effective distributed generation integration using the APGSK-IMODE algorithm","volume":"19","author":"Kamarposhti","year":"2024","journal-title":"International Journal of Low-Carbon Technologies"},{"key":"10.1016\/j.eswa.2026.132031_bib0014","series-title":"2014 IEEE congress on evolutionary computation (CEC)","first-page":"528","article-title":"Search-evasion path planning for submarines using the artificial bee colony algorithm","author":"Li","year":"2014"},{"key":"10.1016\/j.eswa.2026.132031_bib0015","doi-asserted-by":"crossref","DOI":"10.1016\/j.energy.2021.121362","article-title":"Adaptive constraint differential evolution for optimal power flow","volume":"235","author":"Li","year":"2021","journal-title":"Energy"},{"issue":"1","key":"10.1016\/j.eswa.2026.132031_bib0016","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1109\/TETCI.2024.3442867","article-title":"A co-evolutionary dual niching differential evolution algorithm for nonlinear equation systems optimization","volume":"9","author":"Li","year":"2025","journal-title":"IEEE Transactions on Emerging Topics in Computational Intelligence"},{"key":"10.1016\/j.eswa.2026.132031_bib0017","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1016\/j.ins.2022.11.029","article-title":"An improved differential evolution by hybridizing with estimation-of-distribution algorithm","volume":"619","author":"Li","year":"2023","journal-title":"Information Sciences"},{"key":"10.1016\/j.eswa.2026.132031_bib0018","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2023.101283","article-title":"APSM-JSO: A novel jso variant with an adaptive parameter selection mechanism and a new external archive updating mechanism","volume":"78","author":"Li","year":"2023","journal-title":"Swarm and Evolutionary Computation"},{"key":"10.1016\/j.eswa.2026.132031_bib0019","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2022.109793","article-title":"A landscape-aware particle swarm optimization for parameter identification of photovoltaic models","volume":"131","author":"Li","year":"2022","journal-title":"Applied Soft Computing"},{"key":"10.1016\/j.eswa.2026.132031_bib0020","doi-asserted-by":"crossref","first-page":"336","DOI":"10.1016\/j.solener.2020.06.100","article-title":"Parameters estimation of solar photovoltaic models via a self-adaptive ensemble-based differential evolution","volume":"207","author":"Liang","year":"2020","journal-title":"Solar Energy"},{"key":"10.1016\/j.eswa.2026.132031_bib0021","series-title":"Problem definitions and evaluation criteria for the CEC 2013 special session on real-parameter optimization","first-page":"281","volume":"201212","author":"Liang","year":"2013"},{"issue":"12","key":"10.1016\/j.eswa.2026.132031_bib0022","doi-asserted-by":"crossref","first-page":"2623","DOI":"10.1109\/TSMC.2018.2855155","article-title":"Historical and heuristic-based adaptive differential evolution","volume":"49","author":"Liu","year":"2018","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics: Systems"},{"key":"10.1016\/j.eswa.2026.132031_bib0023","doi-asserted-by":"crossref","first-page":"6434","DOI":"10.1109\/TMM.2025.3586104","article-title":"A robust coverless video steganography based on two-level DCT features against video attacks","volume":"27","author":"Meng","year":"2025","journal-title":"IEEE Transactions on Multimedia"},{"key":"10.1016\/j.eswa.2026.132031_bib0024","doi-asserted-by":"crossref","first-page":"272","DOI":"10.1016\/j.isatra.2023.05.005","article-title":"Fd-de: Differential evolution with fitness deviation based adaptation in parameter control","volume":"139","author":"Meng","year":"2023","journal-title":"ISA Transactions"},{"key":"10.1016\/j.eswa.2026.132031_bib0025","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1016\/j.ins.2021.01.031","article-title":"Hip-DE: Historical population based mutation strategy in differential evolution with parameter adaptive mechanism","volume":"562","author":"Meng","year":"2021","journal-title":"Information Sciences"},{"key":"10.1016\/j.eswa.2026.132031_bib0026","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1016\/j.ins.2022.03.043","article-title":"Two-stage differential evolution with novel parameter control","volume":"596","author":"Meng","year":"2022","journal-title":"Information Sciences"},{"key":"10.1016\/j.eswa.2026.132031_bib0027","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1016\/j.ins.2021.11.076","article-title":"Pso-sono: A novel pso variant for single-objective numerical optimization","volume":"586","author":"Meng","year":"2022","journal-title":"Information Sciences"},{"key":"10.1016\/j.eswa.2026.132031_bib0028","doi-asserted-by":"crossref","first-page":"663","DOI":"10.1016\/j.ins.2021.07.080","article-title":"Cs-de: Cooperative strategy based differential evolution with population diversity enhancement","volume":"577","author":"Meng","year":"2021","journal-title":"Information Sciences"},{"key":"10.1016\/j.eswa.2026.132031_bib0029","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/j.enconman.2018.08.081","article-title":"Particle swarm optimisation with adaptive mutation strategy for photovoltaic solar cell\/module parameter extraction","volume":"175","author":"Merchaoui","year":"2018","journal-title":"Energy Conversion and Management"},{"key":"10.1016\/j.eswa.2026.132031_bib0030","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.advengsoft.2013.12.007","article-title":"Grey wolf optimizer","volume":"69","author":"Mirjalili","year":"2014","journal-title":"Advances in Engineering Software"},{"issue":"5","key":"10.1016\/j.eswa.2026.132031_bib0031","doi-asserted-by":"crossref","first-page":"1427","DOI":"10.1109\/TEVC.2023.3312769","article-title":"A self-adaptive collaborative differential evolution algorithm for solving energy resource management problems in smart grids","volume":"28","author":"Qin","year":"2024","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"10.1016\/j.eswa.2026.132031_bib0032","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2024.101718","article-title":"Cir-de: A chaotic individual regeneration mechanism for solving the stagnation problem in differential evolution","volume":"91","author":"Qin","year":"2024","journal-title":"Swarm and Evolutionary Computation"},{"key":"10.1016\/j.eswa.2026.132031_bib0033","doi-asserted-by":"crossref","DOI":"10.1016\/j.ins.2024.120110","article-title":"A dimensional difference-based population size adjustment framework for differential evolution","volume":"660","author":"Qin","year":"2024","journal-title":"Information Sciences"},{"key":"10.1016\/j.eswa.2026.132031_bib0034","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2023.101291","article-title":"A dynamic multipopulation genetic algorithm for multiobjective workflow scheduling based on the longest common sequence","volume":"78","author":"Qiu","year":"2023","journal-title":"Swarm and Evolutionary Computation"},{"key":"10.1016\/j.eswa.2026.132031_bib0035","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2024.108081","article-title":"Differential evolution with fitness-difference based parameter control and hypervolume diversity indicator for numerical optimization","volume":"133","author":"Ren","year":"2024","journal-title":"Engineering Applications of Artificial Intelligence"},{"key":"10.1016\/j.eswa.2026.132031_bib0036","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2024.101689","article-title":"Photovoltaic model parameters identification using diversity improvement-oriented differential evolution","volume":"90","author":"Ren","year":"2024","journal-title":"Swarm and Evolutionary Computation"},{"key":"10.1016\/j.eswa.2026.132031_bib0037","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1016\/j.patrec.2020.02.021","article-title":"A permutational-based differential evolution algorithm for feature subset selection","volume":"133","author":"Rivera-L\u00f3pez","year":"2020","journal-title":"Pattern Recognition Letters"},{"key":"10.1016\/j.eswa.2026.132031_bib0038","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2023.110492","article-title":"Differential evolution with wavelet basis function based parameter control and dimensional interchange for diversity enhancement","volume":"144","author":"Song","year":"2023","journal-title":"Applied Soft Computing"},{"key":"10.1016\/j.eswa.2026.132031_bib0039","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2023.101447","article-title":"Differential evolution with perturbation mechanism and covariance matrix based stagnation indicator for numerical optimization","volume":"84","author":"Song","year":"2024","journal-title":"Swarm and Evolutionary Computation"},{"issue":"4","key":"10.1016\/j.eswa.2026.132031_bib0040","doi-asserted-by":"crossref","first-page":"2908","DOI":"10.1109\/TII.2024.3514155","article-title":"Parameter identification of photovoltaic models using an improved differential evolution with selective perturbation","volume":"21","author":"Song","year":"2025","journal-title":"IEEE Transactions on Industrial Informatics"},{"key":"10.1016\/j.eswa.2026.132031_bib0041","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.131072","article-title":"Mode-PSAD: Multi-objective differential evolution with population-state awareness and dynamic diversity for multimodal optimization","volume":"308","author":"Song","year":"2026","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2026.132031_bib0042","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2024.101822","article-title":"Diversity enhancement-based differential evolution with a novel perturbation strategy","volume":"92","author":"Song","year":"2025","journal-title":"Swarm and Evolutionary Computation"},{"key":"10.1016\/j.eswa.2026.132031_bib0043","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2024.101822","article-title":"Diversity enhancement-based differential evolution with a novel perturbation strategy","volume":"92","author":"Song","year":"2025","journal-title":"Swarm and Evolutionary Computation"},{"key":"10.1016\/j.eswa.2026.132031_bib0044","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2024.101793","article-title":"Differential evolution based on individual information parameter setting and diversity measurement of aggregated distribution","volume":"92","author":"Song","year":"2025","journal-title":"Swarm and Evolutionary Computation"},{"key":"10.1016\/j.eswa.2026.132031_bib0045","series-title":"Differrential evolution-a simple and efficient adaptive scheme for global optimization over continuous spaces","volume":"11","author":"Storn","year":"1995"},{"issue":"4","key":"10.1016\/j.eswa.2026.132031_bib0046","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1023\/A:1008202821328","article-title":"Differential evolution\u2013a 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.2026.132031_bib0047","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2025.111799","article-title":"A review of dynamic flexible regulation strategies for multi-energy coupled steelmaking-continuous casting production","volume":"160","author":"Sun","year":"2025","journal-title":"Engineering Applications of Artificial Intelligence"},{"key":"10.1016\/j.eswa.2026.132031_bib0048","doi-asserted-by":"crossref","DOI":"10.1109\/TEVC.2026.3665054","article-title":"Differential evolution algorithm based on spatial partition perturbation mechanism","author":"Sun","year":"2026","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"10.1016\/j.eswa.2026.132031_bib0049","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2025.102188","article-title":"Differential evolution with bi-strategy co-deployment framework and diversity improvement","volume":"99","author":"Sun","year":"2025","journal-title":"Swarm and Evolutionary Computation"},{"key":"10.1016\/j.eswa.2026.132031_bib0050","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.128383","article-title":"Hierarchically controlled differential evolution algorithm","volume":"290","author":"Sun","year":"2025","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2026.132031_bib0051","series-title":"2013 IEEE congress on evolutionary computation","first-page":"71","article-title":"Success-history based parameter adaptation for differential evolution","author":"Tanabe","year":"2013"},{"key":"10.1016\/j.eswa.2026.132031_bib0052","series-title":"2014 IEEE congress on evolutionary computation (CEC)","first-page":"1658","article-title":"Improving the search performance of SHADE using linear population size reduction","author":"Tanabe","year":"2014"},{"key":"10.1016\/j.eswa.2026.132031_bib0053","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.130229","article-title":"Flade: Guiding differential evolution through fitness landscape sequence analysis for influence maximization","volume":"299","author":"Tang","year":"2026","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2026.132031_bib0054","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1016\/j.apenergy.2016.05.064","article-title":"A parameter extraction technique exploiting intrinsic properties of solar cells","volume":"176","author":"Tong","year":"2016","journal-title":"Applied Energy"},{"key":"10.1016\/j.eswa.2026.132031_bib0055","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2018.10.013","article-title":"Distance based parameter adaptation for success-history based differential evolution","volume":"50","author":"Viktorin","year":"2019","journal-title":"Swarm and Evolutionary Computation"},{"issue":"3","key":"10.1016\/j.eswa.2026.132031_bib0056","doi-asserted-by":"crossref","first-page":"822","DOI":"10.1109\/TEVC.2024.3382047","article-title":"Fractional order differential evolution","volume":"29","author":"Wang","year":"2024","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"10.1016\/j.eswa.2026.132031_bib0057","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2021.107972","article-title":"Multimodal optimization via dynamically hybrid niching differential evolution","volume":"238","author":"Wang","year":"2022","journal-title":"Knowledge-Based Systems"},{"issue":"12","key":"10.1016\/j.eswa.2026.132031_bib0058","doi-asserted-by":"crossref","first-page":"7469","DOI":"10.1109\/TSMC.2022.3157816","article-title":"Hybrid niching-based differential evolution with two archives for nonlinear equation system","volume":"52","author":"Wang","year":"2022","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics: Systems"},{"key":"10.1016\/j.eswa.2026.132031_bib0059","series-title":"Problem definitions and evaluation criteria for the CEC 2017 competition on constrained real-parameter optimization","author":"Wu","year":"2017"},{"issue":"2","key":"10.1016\/j.eswa.2026.132031_bib0060","doi-asserted-by":"crossref","first-page":"757","DOI":"10.1109\/TASE.2020.2969469","article-title":"Multiobjective differential evolution algorithm for solving robotic cell scheduling problem with batch-processing machines","volume":"18","author":"Wu","year":"2020","journal-title":"IEEE Transactions on Automation Science and Engineering"},{"key":"10.1016\/j.eswa.2026.132031_bib0061","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1016\/j.ins.2020.11.015","article-title":"A fitness-based adaptive differential evolution algorithm","volume":"549","author":"Xia","year":"2021","journal-title":"Information Sciences"},{"key":"10.1016\/j.eswa.2026.132031_bib0062","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1016\/j.ins.2021.07.082","article-title":"NFDDE: A novelty-hybrid-fitness driving differential evolution algorithm","volume":"579","author":"Xia","year":"2021","journal-title":"Information Sciences"},{"key":"10.1016\/j.eswa.2026.132031_bib0063","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2024.101829","article-title":"Differential evolution with multi-stage parameter adaptation and diversity enhancement mechanism for numerical optimization","volume":"92","author":"Xu","year":"2025","journal-title":"Swarm and Evolutionary Computation"},{"key":"10.1016\/j.eswa.2026.132031_bib0064","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2022.104373","article-title":"Multi-level threshold segmentation framework for breast cancer images using enhanced differential evolution","volume":"80","author":"Yang","year":"2023","journal-title":"Biomedical Signal Processing and Control"},{"key":"10.1016\/j.eswa.2026.132031_bib0065","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1016\/j.apenergy.2019.01.008","article-title":"A performance-guided JAYA algorithm for parameters identification of photovoltaic cell and module","volume":"237","author":"Yu","year":"2019","journal-title":"Applied Energy"},{"key":"10.1016\/j.eswa.2026.132031_bib0066","series-title":"2018 IEEE congress on evolutionary computation (CEC)","first-page":"1","article-title":"Hybrid sampling evolution strategy for solving single objective bound constrained problems","author":"Zhang","year":"2018"},{"issue":"5","key":"10.1016\/j.eswa.2026.132031_bib0067","doi-asserted-by":"crossref","first-page":"945","DOI":"10.1109\/TEVC.2009.2014613","article-title":"Jade: adaptive differential evolution with optional external archive","volume":"13","author":"Zhang","year":"2009","journal-title":"IEEE Transactions on evolutionary computation"},{"key":"10.1016\/j.eswa.2026.132031_bib0068","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2025.112587","article-title":"Differential evolution with dimensionally adaptive inheritance","volume":"163","author":"Zhang","year":"2026","journal-title":"Engineering Applications of Artificial Intelligence"},{"issue":"5","key":"10.1016\/j.eswa.2026.132031_bib0069","doi-asserted-by":"crossref","first-page":"1440","DOI":"10.1109\/TEVC.2022.3220424","article-title":"Differential evolution with domain transform","volume":"27","author":"Zhang","year":"2022","journal-title":"IEEE Transactions on Evolutionary Computation"},{"issue":"9","key":"10.1016\/j.eswa.2026.132031_bib0070","doi-asserted-by":"crossref","first-page":"7173","DOI":"10.1007\/s00521-021-06849-z","article-title":"A hybrid cooperative differential evolution assisted by CMA-ES with local search mechanism","volume":"34","author":"Zhao","year":"2022","journal-title":"Neural Computing and Applications"},{"issue":"5","key":"10.1016\/j.eswa.2026.132031_bib0071","doi-asserted-by":"crossref","first-page":"2302","DOI":"10.1109\/TCYB.2025.3538007","article-title":"An iterative greedy algorithm for solving a multiobjective distributed assembly flexible job shop scheduling problem with fuzzy processing time","volume":"55","author":"Zhao","year":"2025","journal-title":"IEEE Transactions on Cybernetics"},{"issue":"1","key":"10.1016\/j.eswa.2026.132031_bib0072","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1007\/s40747-021-00354-5","article-title":"A memetic discrete differential evolution algorithm for the distributed permutation flow shop scheduling problem","volume":"8","author":"Zhao","year":"2022","journal-title":"Complex & Intelligent Systems"},{"issue":"3","key":"10.1016\/j.eswa.2026.132031_bib0073","doi-asserted-by":"crossref","first-page":"1794","DOI":"10.1109\/TSMC.2024.3510384","article-title":"A co-evolution algorithm with dueling reinforcement learning mechanism for the energy-aware distributed heterogeneous flexible flow-shop scheduling problem","volume":"55","author":"Zhao","year":"2025","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics: Systems"},{"issue":"12","key":"10.1016\/j.eswa.2026.132031_bib0074","doi-asserted-by":"crossref","first-page":"4226","DOI":"10.1080\/00207543.2023.2254858","article-title":"A multi-objective discrete differential evolution algorithm for energy-efficient distributed blocking flow shop scheduling problem","volume":"62","author":"Zhao","year":"2024","journal-title":"International Journal of Production Research"},{"issue":"7","key":"10.1016\/j.eswa.2026.132031_bib0075","doi-asserted-by":"crossref","first-page":"3457","DOI":"10.1109\/TCYB.2025.3567955","article-title":"A feature-based learning differential evolution algorithm for the flexible job-shop scheduling with occupational repetitive actions index","volume":"55","author":"Zhao","year":"2025","journal-title":"IEEE Transactions on Cybernetics"},{"key":"10.1016\/j.eswa.2026.132031_bib0076","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TCYB.2025.3644904","article-title":"A hierarchical optimization algorithm with dual-cache synced tuning mechanism for distributed flexible job shop scheduling problem","author":"Zhao","year":"2025","journal-title":"IEEE Transactions on Cybernetics"},{"issue":"3","key":"10.1016\/j.eswa.2026.132031_bib0077","doi-asserted-by":"crossref","first-page":"1430","DOI":"10.1109\/TCYB.2019.2939219","article-title":"A self-adaptive differential evolution algorithm for scheduling a single batch-processing machine with arbitrary job sizes and release times","volume":"51","author":"Zhou","year":"2021","journal-title":"IEEE Transactions on Cybernetics"},{"key":"10.1016\/j.eswa.2026.132031_bib0078","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.129528","article-title":"Adaptive social mobility-restructuring differential evolution for global optimization","volume":"297","author":"Zhuo","year":"2026","journal-title":"Expert Systems with Applications"}],"container-title":["Expert Systems with Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417426009449?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417426009449?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T16:05:45Z","timestamp":1780934745000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0957417426009449"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":78,"alternative-id":["S0957417426009449"],"URL":"https:\/\/doi.org\/10.1016\/j.eswa.2026.132031","relation":{},"ISSN":["0957-4174"],"issn-type":[{"value":"0957-4174","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A hybrid differential evolution with discrete cosine transform-based mutation strategy and dynamic diversity mechanism","name":"articletitle","label":"Article Title"},{"value":"Expert Systems with Applications","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.eswa.2026.132031","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"132031"}}