{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T05:35:32Z","timestamp":1777354532998,"version":"3.51.4"},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"9","license":[{"start":{"date-parts":[[2014,9,6]],"date-time":"2014-09-06T00:00:00Z","timestamp":1409961600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2015,9]]},"DOI":"10.1007\/s00500-014-1424-4","type":"journal-article","created":{"date-parts":[[2014,9,5]],"date-time":"2014-09-05T02:32:56Z","timestamp":1409884376000},"page":"2587-2603","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":114,"title":["Water cycle algorithm for solving multi-objective optimization problems"],"prefix":"10.1007","volume":"19","author":[{"given":"Ali","family":"Sadollah","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hadi","family":"Eskandar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ardeshir","family":"Bahreininejad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joong Hoon","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2014,9,6]]},"reference":[{"key":"1424_CR1","doi-asserted-by":"crossref","unstructured":"Atashpaz-Gargari E, Lucas C (2007) Imperialist competitive algorithm: an algorithm for optimization inspires by imperialistic competition. IEEE Congress on Evolutionary Computation, Singapore, pp 4661\u20134667","DOI":"10.1109\/CEC.2007.4425083"},{"issue":"3","key":"1424_CR2","doi-asserted-by":"crossref","first-page":"268","DOI":"10.1145\/937503.937505","volume":"35","author":"C Blum","year":"2003","unstructured":"Blum C, Andrea R (2003) Metaheuristics in combinatorial optimization: overview and conceptual comparison. ACM Comput Surv 35(3):268\u2013308","journal-title":"ACM Comput Surv"},{"key":"1424_CR3","doi-asserted-by":"crossref","unstructured":"Coello CAC, Lechuga MS (2002) MOPSO: A proposal for multiple objective particle swarm optimization. In: Proceedings of the congress on evolutionary computation (CEC\u20192002), Honolulu, vo 1, pp1051\u20131056","DOI":"10.1109\/CEC.2002.1004388"},{"issue":"2","key":"1424_CR4","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1145\/358923.358929","volume":"32","author":"CAC Coello","year":"2000","unstructured":"Coello CAC (2000) An updated survey of GA-based multi-objective optimization techniques. ACM Comput Surv 32(2):109\u2013143","journal-title":"ACM Comput Surv"},{"key":"1424_CR5","series-title":"Genetic Algorithms and Evolutionary Computation","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-5184-0","volume-title":"Evolutionary algorithms for solving multi-objective problems","author":"CAC Coello","year":"2002","unstructured":"Coello CAC, Veldhuizen DAV, Lamont G (2002) Evolutionary algorithms for solving multi-objective problems., Genetic Algorithms and Evolutionary ComputationKluwer, Dordrecht"},{"issue":"3","key":"1424_CR6","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1109\/TEVC.2004.826067","volume":"8","author":"CAC Coello","year":"2004","unstructured":"Coello CAC (2004) Handling multiple objectives with particle swarm optimization. IEEE T Evolut comput 8(3):256\u2013279","journal-title":"IEEE T Evolut comput"},{"key":"1424_CR7","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1007\/s10710-005-6164-x","volume":"6","author":"CAC Coello","year":"2005","unstructured":"Coello CAC, Cruz Cort\u00e9s N (2005) Solving multiobjective optimization problems using an artificial immune system. Genet Program Evol M 6:163\u2013190","journal-title":"Genet Program Evol M"},{"key":"1424_CR8","volume-title":"Multi-objective optimization using evolutionary algorithms","author":"K Deb","year":"2001","unstructured":"Deb K (2001) Multi-objective optimization using evolutionary algorithms. Wiley, New York"},{"issue":"2","key":"1424_CR9","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1109\/4235.996017","volume":"6","author":"K Deb","year":"2002","unstructured":"Deb K, Pratap A, Agarwal S, Meyarivan T (2002a) A fast and elitist multi objective genetic algorithm: NSGA-II. IEEE Trans Evolut Comput 6(2):182\u2013197","journal-title":"IEEE Trans Evolut Comput"},{"key":"1424_CR10","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1162\/evco.1999.7.3.205","volume":"7","author":"K Deb","year":"2002","unstructured":"Deb K (2002) Multi-objective genetic algorithms: problem difficulties and construction of test problems. Evol Comput 7:205\u2013230","journal-title":"Evol Comput"},{"key":"1424_CR11","doi-asserted-by":"crossref","unstructured":"Deb K, Thiele L, Laumanns M, Zitzler E (2002) Scalable multi-objective optimization test problems. In: Proceedings of IEEE Conference on Evolutionary Computation, pp 825\u2013830","DOI":"10.1109\/CEC.2002.1007032"},{"key":"1424_CR12","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/j.compstruc.2012.07.010","volume":"110\u2013111","author":"H Eskandar","year":"2012","unstructured":"Eskandar H, Sadollah A, Bahreininejad A, Hamdi M (2012) Water cycle algorithm\u2014a novel metaheuristic optimization method for solving constrained engineering optimization problems. Comput Struct 110\u2013111:151\u2013166","journal-title":"Comput Struct"},{"key":"1424_CR13","first-page":"416","volume-title":"Proceedings of the fifth international conference on genetic algorithms","author":"CM Fonseca","year":"1993","unstructured":"Fonseca CM, Fleming PJ (1993) Genetic algorithms for multiobjective optimization: formulation, discussion and generalization. In: Forrest S (ed) Proceedings of the fifth international conference on genetic algorithms. Morgan Kauffman, San Mateo, pp 416\u2013423"},{"issue":"8","key":"1424_CR14","doi-asserted-by":"crossref","first-page":"975","DOI":"10.1080\/03052150600880706","volume":"38","author":"F Freschi","year":"2006","unstructured":"Freschi F, Repetto M (2006) VIS: an artificial immune network for multi-objective optimization. Eng Optim 38(8):975\u2013996","journal-title":"Eng Optim"},{"key":"1424_CR15","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1016\/j.cor.2009.03.009","volume":"37","author":"J Gao","year":"2010","unstructured":"Gao J, Wang J (2010) WBMOAIS: a novel artificial immune system for multiobjective optimization. Comput Oper Res 37:50\u201361","journal-title":"Comput Oper Res"},{"key":"1424_CR16","doi-asserted-by":"crossref","unstructured":"Glover FW, Kochenberger GA (2003) Handbook of metaheuristics. Kluwer, Dordrecht","DOI":"10.1007\/b101874"},{"key":"1424_CR17","doi-asserted-by":"crossref","unstructured":"Haupt RL, Haupt SE (2004) Practical genetic algorithms, 2nd edn. John Wiley, New York","DOI":"10.1002\/0471671746"},{"key":"1424_CR18","volume-title":"Adaptation in natural and artificial systems","author":"J Holland","year":"1975","unstructured":"Holland J (1975) Adaptation in natural and artificial systems. University of Michigan Press, Ann Arbor"},{"issue":"12","key":"1424_CR19","doi-asserted-by":"crossref","first-page":"15475","DOI":"10.1016\/j.eswa.2011.06.012","volume":"38","author":"A Kaveh","year":"2011","unstructured":"Kaveh A, Laknejadi K (2011) A novel hybrid charge system search and particle swarm optimization method for multi-objective optimization. Expert Syst Appl 38(12):15475\u201315488","journal-title":"Expert Syst Appl"},{"key":"1424_CR20","doi-asserted-by":"crossref","unstructured":"Kennedy J, Eberhart R (1995) Particle swarm optimization. In: Proceedings of the IEEE international conference on neural networks. Perth, Australia, pp 1942\u20131948","DOI":"10.1109\/ICNN.1995.488968"},{"issue":"2","key":"1424_CR21","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1162\/106365600568167","volume":"8","author":"JD Knowles","year":"2000","unstructured":"Knowles JD, Corne DW (2000) Approximating the nondominated front using the Pareto archived evolution strategy. Evol Comput 8(2):149\u2013172","journal-title":"Evol Comput"},{"key":"1424_CR22","doi-asserted-by":"crossref","unstructured":"Kursawe F (1991) A variant of evolution strategies for vector optimization. In: Lecture Notes in Computer Science. In: Proceedings of the Parallel Problem Solving From Nature, PPSN I, vol 496, pp 193\u2013197","DOI":"10.1007\/BFb0029752"},{"issue":"6","key":"1424_CR23","doi-asserted-by":"crossref","first-page":"1590","DOI":"10.1016\/j.cor.2011.11.011","volume":"40","author":"Q Lin","year":"2013","unstructured":"Lin Q, Chen J (2013) A novel micro-population immune multiobjective optimization algorithm. Comput Oper Res 40(6):1590\u20131601","journal-title":"Comput Oper Res"},{"key":"1424_CR24","doi-asserted-by":"crossref","first-page":"2577","DOI":"10.1016\/j.asoc.2012.11.028","volume":"13","author":"MJ Mahmoodabadi","year":"2013","unstructured":"Mahmoodabadi MJ, Adljooy Safaie A (2013) A novel combination of particle swarm optimization and genetic algorithm for pareto optimal design of a five-degree of freedom vehicle vibration model. Appl Soft Comput 13:2577\u20132591","journal-title":"Appl Soft Comput"},{"key":"1424_CR25","doi-asserted-by":"crossref","unstructured":"Mostaghim S, Teich J (2003) Strategies for finding good local guides in multi objective particle swarm optimization (MOPSO). In: Proceedings of the IEEE swarm intelligence symposium, pp 26\u201333","DOI":"10.1109\/SIS.2003.1202243"},{"key":"1424_CR26","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1007\/BF02125421","volume":"63","author":"IH Osman","year":"1996","unstructured":"Osman IH, Laporte G (1996) Metaheuristics: a bibliography. Ann Oper Res 63:513\u2013623","journal-title":"Ann Oper Res"},{"key":"1424_CR27","series-title":"Engineering and Computer Science","volume-title":"Hybrid GA for multiobjective aerodynamic shape optimization in genetic algorithms","author":"C Poloni","year":"1997","unstructured":"Poloni C (1997) Hybrid GA for multiobjective aerodynamic shape optimization in genetic algorithms., Engineering and Computer ScienceWiley, New York"},{"key":"1424_CR28","doi-asserted-by":"crossref","first-page":"2956","DOI":"10.1016\/j.eswa.2011.08.157","volume":"39","author":"PM Pradhan","year":"2012","unstructured":"Pradhan PM, Panda G (2012) Solving multiobjective problems using cat swarm optimization. Expert Syst Appl 39:2956\u20132964","journal-title":"Expert Syst Appl"},{"key":"1424_CR29","doi-asserted-by":"crossref","unstructured":"Sierra MR, Coello CAC (2005) Improving PSO-based multi objective optimization using crowding, mutation and e-dominance. In: Proceedings of evolutionary multi-criterion optimization conference. Guanajuato, Mexico, pp 505\u2013519","DOI":"10.1007\/978-3-540-31880-4_35"},{"issue":"3","key":"1424_CR30","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1162\/evco.1994.2.3.221","volume":"2","author":"N Srinivas","year":"1995","unstructured":"Srinivas N, Deb K (1995) Multi objective function optimization using nondominated sorting genetic algorithms. Evol Comput 2(3):221\u2013248","journal-title":"Evol Comput"},{"key":"1424_CR31","unstructured":"Viennet R, Fontiex C, Marc I (1995) New multicriteria optimization method based on the use of a diploid genetic algorithm: example of an industrial problem. In: Proceedings of Artificial Evolution. Brest, France, pp 120\u2013127"},{"key":"1424_CR32","doi-asserted-by":"crossref","first-page":"2939","DOI":"10.1016\/j.eswa.2011.08.155","volume":"39","author":"L Wang","year":"2012","unstructured":"Wang L, Zhong X, Liu M (2012) A novel group search optimizer for multi-objective optimization. Expert Syst Appl 39:2939\u20132946","journal-title":"Expert Syst Appl"},{"issue":"3","key":"1424_CR33","doi-asserted-by":"crossref","first-page":"2939","DOI":"10.1016\/j.eswa.2011.08.155","volume":"39","author":"L Wang","year":"2012","unstructured":"Wang L, Zhong X, Liu M (2012) A novel group search optimizer for multi-objective optimization. Expert Syst Appl 39(3):2939\u20132946","journal-title":"Expert Syst Appl"},{"key":"1424_CR34","doi-asserted-by":"crossref","first-page":"939","DOI":"10.1007\/s00500-012-0969-3","volume":"17","author":"Y Wang","year":"2013","unstructured":"Wang Y, Zeng J (2013) A multi-objective artificial physics optimization algorithm based on ranks of individuals. Soft Comput 17:939\u2013952","journal-title":"Soft Comput"},{"key":"1424_CR35","doi-asserted-by":"crossref","unstructured":"Zhang B, Ren W, Zhao L, Deng X (2009) Immune system multiobjective optimization algorithm for DTLZ problems. In: Fifth international conference on natural computation, pp 603\u2013609","DOI":"10.1109\/ICNC.2009.135"},{"issue":"4","key":"1424_CR36","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1109\/4235.797969","volume":"3","author":"E Zitzler","year":"1999","unstructured":"Zitzler E, Thiele L (1999) Multi objective evolutionary algorithms: a comparative case study and the strength Pareto approach. IEEE Trans Evolut Comput 3(4):257\u2013271","journal-title":"IEEE Trans Evolut Comput"},{"issue":"2","key":"1424_CR37","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1162\/106365600568202","volume":"8","author":"E Zitzler","year":"2000","unstructured":"Zitzler E, Deb K, Thiele L (2000) Comparison of multi-objective evolutionary algorithms: empirical results. Evol Comput 8(2):173\u2013195","journal-title":"Evol Comput"},{"key":"1424_CR38","unstructured":"Zitzler E, Laumanns M, Thiele L (2001) SPEA2: Improving the strength Pareto evolutionary algorithm. Swiss Federal Institute Technology, Zurich, Switzerland, TIK Report, vol 103, pp 1\u201321"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-014-1424-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00500-014-1424-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-014-1424-4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,14]],"date-time":"2019-08-14T13:52:27Z","timestamp":1565790747000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00500-014-1424-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,9,6]]},"references-count":38,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2015,9]]}},"alternative-id":["1424"],"URL":"https:\/\/doi.org\/10.1007\/s00500-014-1424-4","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,9,6]]}}}