{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T18:54:58Z","timestamp":1772132098386,"version":"3.50.1"},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2023,6,22]],"date-time":"2023-06-22T00:00:00Z","timestamp":1687392000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,6,22]],"date-time":"2023-06-22T00:00:00Z","timestamp":1687392000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Doctor\u2019s Program of Hubei University of Technology","award":["BSQD2017047"],"award-info":[{"award-number":["BSQD2017047"]}]},{"name":"Science and Technology Research Program of Hubei Province","award":["2021BLB171"],"award-info":[{"award-number":["2021BLB171"]}]},{"name":"Science and Technology Research Program of Hubei Province","award":["2021BLB171"],"award-info":[{"award-number":["2021BLB171"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Supercomput"],"published-print":{"date-parts":[[2024,1]]},"DOI":"10.1007\/s11227-023-05390-1","type":"journal-article","created":{"date-parts":[[2023,6,23]],"date-time":"2023-06-23T16:47:26Z","timestamp":1687538846000},"page":"20-49","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["An adaptive stochastic ranking-based tournament selection method for differential evolution"],"prefix":"10.1007","volume":"80","author":[{"given":"Dahai","family":"Xia","sequence":"first","affiliation":[]},{"given":"Xinyun","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Meng","family":"Yan","sequence":"additional","affiliation":[]},{"given":"Caiquan","family":"Xiong","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,6,22]]},"reference":[{"key":"5390_CR1","volume-title":"Differential evolution\u2014a simple and efficient heuristic for global optimization over continuous spaces","author":"R Storn","year":"1995","unstructured":"Storn R, Price K (1995) Differential evolution\u2014a simple and efficient heuristic for global optimization over continuous spaces. International Computer Science Institute, Berkley"},{"issue":"5","key":"5390_CR2","doi-asserted-by":"publisher","first-page":"1556","DOI":"10.1145\/3340848","volume":"13","author":"Y Xue","year":"2019","unstructured":"Xue Y, Xue B, Zhang MJ (2019) Self-adaptive particle swarm optimization for large-scale feature selection in classification. ACM Trans Knowl Discov Data 13(5):1556\u20134681. https:\/\/doi.org\/10.1145\/3340848","journal-title":"ACM Trans Knowl Discov Data"},{"issue":"4","key":"5390_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106388","volume":"206","author":"LB Deng","year":"2020","unstructured":"Deng LB, Li CL, Sun GJ (2020) An adaptive dimension level adjustment framework for differential evolution. Knowl-Based Syst 206(4):106388. https:\/\/doi.org\/10.1016\/j.knosys.2020.106388","journal-title":"Knowl-Based Syst"},{"key":"5390_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107366","volume":"229","author":"H Peng","year":"2021","unstructured":"Peng H, Han Y, Deng C et al (2021) Multi-strategy co-evolutionary differential evolution for mixed-variable optimization. Knowl-Based Syst 229:107366. https:\/\/doi.org\/10.1016\/j.knosys.2021.107366","journal-title":"Knowl-Based Syst"},{"key":"5390_CR5","doi-asserted-by":"publisher","first-page":"453","DOI":"10.1016\/j.ins.2022.06.036","volume":"608","author":"Y Xue","year":"2022","unstructured":"Xue Y, Tong YL, Neri F (2022) An ensemble of differential evolution and Adam for training feed-forward neural networks. Inf Sci 608:453\u2013471. https:\/\/doi.org\/10.1016\/j.ins.2022.06.036","journal-title":"Inf Sci"},{"key":"5390_CR6","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2022.3213236","author":"P Wang","year":"2022","unstructured":"Wang P, Xue B, Liang J, Zhang MJ (2022) Differential evolution with duplication analysis for feature selection in classification. IEEE Trans Cybern. https:\/\/doi.org\/10.1109\/TCYB.2022.3213236. (Epub ahead of print)","journal-title":"IEEE Trans Cybern"},{"key":"5390_CR7","doi-asserted-by":"publisher","first-page":"515","DOI":"10.1007\/s10586-020-03124-z","volume":"24","author":"ZH He","year":"2021","unstructured":"He ZH, Peng H, Chen JQ et al (2021) A Spark-based differential evolution with grouping topology model for large-scale global optimization. Cluster Comput 24:515\u2013535. https:\/\/doi.org\/10.1007\/s10586-020-03124-z","journal-title":"Cluster Comput"},{"issue":"5","key":"5390_CR8","doi-asserted-by":"publisher","first-page":"945","DOI":"10.1109\/TEVC.2009.2014613","volume":"13","author":"J Zhang","year":"2009","unstructured":"Zhang J, Sanderson AC (2009) JADE: adaptive differential evolution with optional external archive. IEEE Trans Evol Comput 13(5):945\u2013958. https:\/\/doi.org\/10.1109\/TEVC.2009.2014613","journal-title":"IEEE Trans Evol Comput"},{"key":"5390_CR9","doi-asserted-by":"publisher","unstructured":"Tanabe R, Fukunaga A(2013) Evaluating the performance of SHADE on CEC 2013 benchmark problems, In: Proceedings of the IEEE Congress on Evolutionary Computation, CEC2013, pp. 1952\u20131959. https:\/\/doi.org\/10.1109\/CEC.2013.6557798","DOI":"10.1109\/CEC.2013.6557798"},{"key":"5390_CR10","doi-asserted-by":"crossref","unstructured":"Stanovov V, Akhmedova S, Semenkin E (2022) NL-SHADE-LBC algorithm with linear parameter adaptation bias change for CEC 2022 Numerical Optimization. In: 2022 IEEE Congress on Evolutionary Computation (CEC), Padua, Italy 2022, pp 1\u20138","DOI":"10.1109\/CEC55065.2022.9870295"},{"key":"5390_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2480741.2480752","volume":"45","author":"M \u010crepin\u0161ek","year":"2013","unstructured":"\u010crepin\u0161ek M, Liu SH, Mernik M (2013) Exploration and exploitation in evolutionary algorithms: a survey. ACM Comput Syrv 45:1\u20133. https:\/\/doi.org\/10.1145\/2480741.2480752","journal-title":"ACM Comput Syrv"},{"key":"5390_CR12","doi-asserted-by":"publisher","first-page":"100671","DOI":"10.1016\/j.swevo.2020.100671","volume":"54","author":"B Morales-Castaeda","year":"2020","unstructured":"Morales-Castaeda B, Zald\u00edvar D, Cuevas E et al (2020) A better balance in metaheuristic algorithms: does it exist? Swarm Evol Comput 54:100671. https:\/\/doi.org\/10.1016\/j.swevo.2020.100671","journal-title":"Swarm Evol Comput"},{"issue":"7","key":"5390_CR13","doi-asserted-by":"publisher","first-page":"1080","DOI":"10.1109\/TCYB.2013.2279211","volume":"44","author":"WJ Yu","year":"2014","unstructured":"Yu WJ, Shen M, Chen WN, Zhan ZH, Gong YJ, Lin Y (2014) Differential evolution with two-level parameter adaptation. IEEE Trans Cybern 44(7):1080\u20131099. https:\/\/doi.org\/10.1109\/TCYB.2013.2279211","journal-title":"IEEE Trans Cybern"},{"key":"5390_CR14","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1016\/j.swevo.2019.06.010","volume":"49","author":"Z Li","year":"2019","unstructured":"Li Z, Shi L, Shang Z et al (2019) Differential evolution based on reinforcement learning with fitness ranking for solving multimodal multiobjective problems. Swarm Evol Comput 49:234\u2013244. https:\/\/doi.org\/10.1016\/j.swevo.2019.06.010","journal-title":"Swarm Evol Comput"},{"key":"5390_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2019.105776","volume":"85","author":"D Bajer","year":"2019","unstructured":"Bajer D (2019) Adaptive k-tournament mutation scheme for differential evolution. Appl Soft Comput 85:105776. https:\/\/doi.org\/10.1016\/j.asoc.2019.105776","journal-title":"Appl Soft Comput"},{"issue":"Pt.B","key":"5390_CR16","doi-asserted-by":"publisher","first-page":"1079","DOI":"10.1016\/j.asoc.2021.107942","volume":"113","author":"JH Li","year":"2021","unstructured":"Li JH, Gao YL, Wang KG et al (2021) A dual opposition-based learning for differential evolution with protective mechanism for engineering optimization problems. Appl Soft Comput 113(Pt.B):1079. https:\/\/doi.org\/10.1016\/j.asoc.2021.107942","journal-title":"Appl Soft Comput"},{"key":"5390_CR17","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1016\/j.ins.2017.02.055","volume":"399","author":"LM Zheng","year":"2017","unstructured":"Zheng LM, Zhang XS, Tang KS, Zheng SY (2017) Differential evolution powered by collective information. Inf Sci 399:13\u201329. https:\/\/doi.org\/10.1016\/j.ins.2017.02.055","journal-title":"Inf Sci"},{"issue":"6","key":"5390_CR18","doi-asserted-by":"publisher","first-page":"2066","DOI":"10.1109\/TCYB.2013.2239988","volume":"43","author":"W Gong","year":"2013","unstructured":"Gong W, Cai Z (2013) Differential evolution with ranking-based mutation operators. IEEE Trans Cybern 43(6):2066\u20132081. https:\/\/doi.org\/10.1109\/TCYB.2013.2239988","journal-title":"IEEE Trans Cybern"},{"key":"5390_CR19","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1007\/s40747-017-0041-0","volume":"3","author":"AW Mohamed","year":"2017","unstructured":"Mohamed AW (2017) Solving large-scale global optimization problems using enhanced adaptive differential evolution algorithm. Complex Intell Syst 3:205\u2013231. https:\/\/doi.org\/10.1007\/s40747-017-0041-0","journal-title":"Complex Intell Syst"},{"key":"5390_CR20","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.109280","volume":"251","author":"S Gupta","year":"2022","unstructured":"Gupta S, Su R (2022) An efficient differential evolution with fitness-based dynamic mutation strategy and control parameters. Knowl-Based Syst 251:109280. https:\/\/doi.org\/10.1016\/j.knosys.2022.109280","journal-title":"Knowl-Based Syst"},{"key":"5390_CR21","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1016\/j.ins.2020.11.015","volume":"549","author":"XW Xia","year":"2020","unstructured":"Xia XW, Gui L, Zhang YL, Xu X, Yu F, Wu HR, Wei B, He GL, Li YX, Li KS (2020) A fitness-based adaptive differential evolution algorithm. Inf Sci 549:116\u2013141. https:\/\/doi.org\/10.1016\/j.ins.2020.11.015","journal-title":"Inf Sci"},{"key":"5390_CR22","doi-asserted-by":"publisher","first-page":"663","DOI":"10.1016\/j.ins.2021.07.080","volume":"577","author":"ZY Meng","year":"2021","unstructured":"Meng ZY, Zhong YX, Yang C (2021) CS-DE: cooperative strategy based differential evolution with population diversity enhancement. Inf Sci 577:663\u2013696. https:\/\/doi.org\/10.1016\/j.ins.2021.07.080","journal-title":"Inf Sci"},{"key":"5390_CR23","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2021.107494","volume":"107","author":"SX Zhang","year":"2021","unstructured":"Zhang SX, Chan WS, Tang KS, Zheng SY (2021) Adaptive strategy in differential evolution via explicit exploitation and exploration controls. Appl Soft Comput 107:107494. https:\/\/doi.org\/10.1016\/j.asoc.2021.107494","journal-title":"Appl Soft Comput"},{"issue":"12","key":"5390_CR24","doi-asserted-by":"publisher","first-page":"2792","DOI":"10.1109\/TCYB.2014.2316552","volume":"44","author":"J Wang","year":"2014","unstructured":"Wang J, Liao J, Zhou Y, Cai Y (2014) Differential evolution enhanced with multiobjective sorting-based mutation operators. IEEE Trans Cybern 44(12):2792\u20132805. https:\/\/doi.org\/10.1109\/TCYB.2014.2316552","journal-title":"IEEE Trans Cybern"},{"key":"5390_CR25","doi-asserted-by":"publisher","unstructured":"Xia DH, Lin S, Yan M, Xiong CQ, Li YY(2019) A general selection method for mutation strategy in differential evolution. In: International Symposium on Intelligence Computation and Applications, ISICA, pp 152\u2013161.https:\/\/doi.org\/10.1007\/978-981-13-6473-0_14","DOI":"10.1007\/978-981-13-6473-0_14"},{"issue":"3","key":"5390_CR26","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1109\/4235.873238","volume":"4","author":"TP Runarsson","year":"2000","unstructured":"Runarsson TP, Yao X (2000) Stochastic ranking for constrained evolutionary optimization. IEEE Trans Evol Comput 4(3):284\u2013294. https:\/\/doi.org\/10.1109\/4235.873238","journal-title":"IEEE Trans Evol Comput"},{"key":"5390_CR27","unstructured":"Liang JJ, Qu BY, Suganthan PN, Alfredo GHD(2013) Problem definitions and evaluation criteria for the CEC 2013 special session on real-parameter optimization. Computational Intelligence Lab, Zhengzhou Univ, Zhengzhou, China, and Nanyang Tech Univ, Singapore, Tech Rep 201212"},{"key":"5390_CR28","unstructured":"Kumar A, Price KV, Mohamed AW, Hadi AA, Suganthan PN (2021) Problem Definitions and Evaluation Criteria for the CEC 2022 Special Session and Competition on Single Objective Bound Constrained Numerical Optimization. Technical Report, Nanyang Technological University, Singapore, December 2021"},{"issue":"1","key":"5390_CR29","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1109\/4235.843494","volume":"4","author":"F Herrera","year":"2000","unstructured":"Herrera F, Lozano M (2000) Gradual distributed real-coded genetic algorithms. IEEE Trans Evol Comput 4(1):43\u201363","journal-title":"IEEE Trans Evol Comput"},{"issue":"2","key":"5390_CR30","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1007\/s10589-005-4555-9","volume":"30","author":"NP Moloi","year":"2005","unstructured":"Moloi NP, Ali MM (2005) An iterative global optimization algorithm for potential energy minimization. Comput Optim Appl 30(2):119\u2013132","journal-title":"Comput Optim Appl"},{"issue":"6","key":"5390_CR31","doi-asserted-by":"publisher","first-page":"646","DOI":"10.1109\/TEVC.2006.872133","volume":"10","author":"J Brest","year":"2006","unstructured":"Brest J, Greiner S, Boskovic B, Mernik M, Zumer V (2006) Self-adapting control parameters in differential evolution: a comparative study on numerical benchmark problems. IEEE Trans Evol Comput 10(6):646\u2013657. https:\/\/doi.org\/10.1109\/TEVC.2006.872133","journal-title":"IEEE Trans Evol Comput"},{"issue":"1","key":"5390_CR32","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1109\/TEVC.2007.894200","volume":"12","author":"S Rahnamayan","year":"2007","unstructured":"Rahnamayan S, Tizhoosh HR, Salama MMA (2007) Opposition-based differential evolution. IEEE Trans Evol Comput 12(1):64\u201379. https:\/\/doi.org\/10.1109\/TEVC.2007.894200","journal-title":"IEEE Trans Evol Comput"},{"issue":"2","key":"5390_CR33","doi-asserted-by":"publisher","first-page":"398","DOI":"10.1109\/TEVC.2008.927706","volume":"13","author":"AK Qin","year":"2008","unstructured":"Qin AK, Huang VL, Suganthan PN (2008) Differential evolution algorithm with strategy adaptation for global numerical optimization. IEEE Trans Evol Comput 13(2):398\u2013417. https:\/\/doi.org\/10.1109\/TEVC.2008.927706","journal-title":"IEEE Trans Evol Comput"},{"key":"5390_CR34","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1016\/j.asoc.2014.11.003","volume":"27","author":"A Draa","year":"2014","unstructured":"Draa A, Bouzoubia S, Boukhalfa I (2014) A sinusoidal differential evolution algorithm for numerical optimisation. Appl Soft Comput 27:99\u2013126. https:\/\/doi.org\/10.1016\/j.asoc.2014.11.003","journal-title":"Appl Soft Comput"},{"issue":"5","key":"5390_CR35","doi-asserted-by":"publisher","first-page":"568","DOI":"10.1109\/TEVC.2005.863127","volume":"10","author":"M Hutter","year":"2005","unstructured":"Hutter M, Legg S (2005) Fitness uniform optimization. IEEE Trans Evol Comput 10(5):568\u2013589. https:\/\/doi.org\/10.1109\/TEVC.2005.863127","journal-title":"IEEE Trans Evol Comput"}],"container-title":["The Journal of Supercomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-023-05390-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11227-023-05390-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-023-05390-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,8]],"date-time":"2024-01-08T11:18:46Z","timestamp":1704712726000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11227-023-05390-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,22]]},"references-count":35,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2024,1]]}},"alternative-id":["5390"],"URL":"https:\/\/doi.org\/10.1007\/s11227-023-05390-1","relation":{},"ISSN":["0920-8542","1573-0484"],"issn-type":[{"value":"0920-8542","type":"print"},{"value":"1573-0484","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6,22]]},"assertion":[{"value":"8 May 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 June 2023","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The research did not involve human participants and\/or animals.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"The authors have no competing interests as defined by Springer, or other interests that might be perceived to influence the results and\/or discussion reported in this paper.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}