{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T15:49:45Z","timestamp":1760888985186},"reference-count":78,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2015,2,15]],"date-time":"2015-02-15T00:00:00Z","timestamp":1423958400000},"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":[[2016,4]]},"DOI":"10.1007\/s00500-015-1593-9","type":"journal-article","created":{"date-parts":[[2015,2,17]],"date-time":"2015-02-17T11:11:14Z","timestamp":1424171474000},"page":"1365-1388","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Memetic algorithm with Preferential Local Search using adaptive weights for multi-objective optimization problems"],"prefix":"10.1007","volume":"20","author":[{"given":"J.","family":"Bhuvana","sequence":"first","affiliation":[]},{"given":"Chandrabose","family":"Aravindan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,2,15]]},"reference":[{"issue":"2","key":"1593_CR1","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1016\/S0142-0615(02)00027-3","volume":"25","author":"MA Abido","year":"2003","unstructured":"Abido MA (2003) A niched pareto genetic algorithm for multiobjective environmental\/economic dispatch. Int J Elec Power Energy Syst 25(2):97\u2013105","journal-title":"Int J Elec Power Energy Syst"},{"issue":"3","key":"1593_CR2","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1109\/TEVC.2005.857073","volume":"10","author":"MA Abido","year":"2006","unstructured":"Abido MA (2006) Multiobjective evolutionary algorithms for electric power dispatch problem. Evol Comput IEEE Trans 10(3):315\u2013329","journal-title":"Evol Comput IEEE Trans"},{"key":"1593_CR3","series-title":"Handbook for measurement systems design","volume-title":"Evolutionary computation","author":"A Abraham","year":"2005","unstructured":"Abraham A (2005) Evolutionary computation., Handbook for measurement systems designWiley, London"},{"key":"1593_CR4","unstructured":"Aguilar J, Miranda P (1999) Approaches based on genetic algorithms for multiobjective optimization problems. In: GECCO, pp 3\u201310"},{"key":"1593_CR5","doi-asserted-by":"crossref","unstructured":"Bagchi TP (1999) Multiobjective scheduling by Genetic Algorithms. Springer","DOI":"10.1007\/978-1-4615-5237-6"},{"issue":"4","key":"1593_CR6","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1016\/S1568-4946(02)00062-5","volume":"2","author":"S Balakrishnan","year":"2003","unstructured":"Balakrishnan S, Kannan PS, Aravindan C, Subathra P (2003) On-line emission and economic load dispatch using adaptive hopfield neural network. Appl Soft Comput 2(4):297\u2013305","journal-title":"Appl Soft Comput"},{"issue":"2","key":"1593_CR7","doi-asserted-by":"crossref","first-page":"2845","DOI":"10.1016\/j.asoc.2010.11.014","volume":"11","author":"M Basu","year":"2011","unstructured":"Basu M (2011) Economic environmental dispatch using multi-objective differential evolution. Appl Soft Comput 11(2):2845\u20132853","journal-title":"Appl Soft Comput"},{"key":"1593_CR8","doi-asserted-by":"crossref","unstructured":"Bhuvana J, Aravindan C (2011a) Design of hybrid genetic algorithm with preferential local search for multiobjective optimization problems. In: Information technology and mobile communication, communications in computer and information science, vol 147. Springer, Berlin, pp 312\u2013316","DOI":"10.1007\/978-3-642-20573-6_53"},{"key":"1593_CR9","doi-asserted-by":"crossref","unstructured":"Bhuvana J, Aravindan C (2011b) Preferential local search with adaptive weights in evolutionary algorithms for multiobjective optimization problems. In: Soft computing and pattern recognition (SoCPaR), 2011 international conference of IEEE, pp 358\u2013363","DOI":"10.1109\/SoCPaR.2011.6089270"},{"key":"1593_CR10","unstructured":"Blickle T (1996) Theory of evolutionary algorithms and application to system-synthesis. PhD thesis, Swiss Federal Institute of Technology (ETH), Zurich, Switzerland"},{"issue":"3","key":"1593_CR11","doi-asserted-by":"crossref","first-page":"268","DOI":"10.1145\/937503.937505","volume":"35","author":"C Blum","year":"2003","unstructured":"Blum C, Roli A (2003) Metaheuristics in combinatorial optimization: overview and conceptual comparison. ACM Comput Surv CSUR 35(3):268\u2013308","journal-title":"ACM Comput Surv CSUR"},{"issue":"5","key":"1593_CR12","doi-asserted-by":"crossref","first-page":"591","DOI":"10.1109\/TEVC.2011.2132725","volume":"15","author":"X Chen","year":"2011","unstructured":"Chen X, Ong YS, Lim MH, Tan KC (2011) A multi-facet survey on memetic computation. Evol Comput IEEE Trans 15(5):591\u2013607","journal-title":"Evol Comput IEEE Trans"},{"issue":"9","key":"1593_CR13","doi-asserted-by":"crossref","first-page":"1252","DOI":"10.1061\/(ASCE)0733-9445(1997)123:9(1252)","volume":"123","author":"FY Cheng","year":"1997","unstructured":"Cheng FY, Li D (1997) Multiobjective optimization design with pareto genetic algorithm. J Struct Eng 123(9):1252\u20131261","journal-title":"J Struct Eng"},{"issue":"2","key":"1593_CR14","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1145\/358923.358929","volume":"32","author":"CA Coello","year":"2000","unstructured":"Coello CA (2000) An updated survey of GA-based multiobjective optimization techniques. ACM Comput Surv CSUR 32(2):109\u2013143","journal-title":"ACM Comput Surv CSUR"},{"issue":"11\u201312","key":"1593_CR15","doi-asserted-by":"crossref","first-page":"1245","DOI":"10.1016\/S0045-7825(01)00323-1","volume":"191","author":"CA Coello","year":"2002","unstructured":"Coello CA (2002) Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: a survey of the state of the art. Comput Methods Appl Mech Eng 191(11\u201312):1245\u20131287","journal-title":"Comput Methods Appl Mech Eng"},{"key":"1593_CR16","first-page":"73","volume":"4","author":"CA Coello","year":"2006","unstructured":"Coello CA, Zacatenco CSP (2006) 20 years of evolutionary multi-objective optimization: what has been done and what remains to be done. Comput Intell Princ Pract Chap 4:73\u201388","journal-title":"Comput Intell Princ Pract Chap"},{"key":"1593_CR17","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.ins.2012.05.009","volume":"212","author":"M \u010crepin\u0161ek","year":"2012","unstructured":"\u010crepin\u0161ek M, Liu SH, Mernik L (2012) A note on teaching\u2013learning-based optimization algorithm. Inf Sci 212:79\u201393","journal-title":"Inf Sci"},{"issue":"3","key":"1593_CR18","doi-asserted-by":"crossref","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 Surv CSUR 45(3):1\u201333","journal-title":"ACM Comput Surv CSUR"},{"key":"1593_CR19","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1016\/j.asoc.2014.02.009","volume":"19","author":"M \u010crepin\u0161ek","year":"2014","unstructured":"\u010crepin\u0161ek M, Liu SH, Mernik M (2014) Replication and comparison of computational experiments in applied evolutionary computing: common pitfalls and guidelines to avoid them. Appl Soft Comput 19:161\u2013170","journal-title":"Appl Soft Comput"},{"issue":"1","key":"1593_CR20","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/BF01530777","volume":"5","author":"KA Jong De","year":"1992","unstructured":"De Jong KA, Spears WM (1992) A formal analysis of the role of multi-point crossover in genetic algorithms. Ann Math Artif Intell 5(1):1\u201326","journal-title":"Ann Math Artif Intell"},{"key":"1593_CR21","unstructured":"Deb K (2001) Multi-objective optimization using evolutionary algorithms. Wiley (Asia) Pte Ltd"},{"key":"1593_CR22","first-page":"115","volume":"9","author":"K Deb","year":"1995","unstructured":"Deb K, Agrawal RB (1995) Simulated binary crossover for continuous search space. Complex Syst 9:115\u2013148","journal-title":"Complex Syst"},{"issue":"6","key":"1593_CR23","first-page":"431","volume":"9","author":"K Deb","year":"1995","unstructured":"Deb K, Kumar A (1995) Real-coded genetic algorithms with simulated binary crossover: studies on multi-modal and multi-objective problems. Complex Syst 9(6):431\u2013454","journal-title":"Complex Syst"},{"key":"1593_CR24","first-page":"30","volume":"26","author":"K Deb","year":"1996","unstructured":"Deb K, Goyal M (1996) A combined genetic adaptive search (GeneAS) for engineering design. Comput Sci Inf 26:30\u201345","journal-title":"Comput Sci Inf"},{"key":"1593_CR25","doi-asserted-by":"crossref","unstructured":"Deb K, Agrawal S, Pratap A, Meyarivan T (2000) A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. Lect Notes Comput Sci 1917:849\u2013858","DOI":"10.1007\/3-540-45356-3_83"},{"issue":"2","key":"1593_CR26","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 (2002) A fast and elitist multiobjective genetic algorithm: NSGA-II. Evol Comput IEEE Trans 6(2):182\u2013197","journal-title":"Evol Comput IEEE Trans"},{"issue":"2","key":"1593_CR27","first-page":"124","volume":"13","author":"TA El-Mihoub","year":"2006","unstructured":"El-Mihoub TA, Hopgood AA, Nolle L, Battersby A (2006) Hybrid genetic algorithms: a review. Eng Lett 13(2):124\u2013137","journal-title":"Eng Lett"},{"key":"1593_CR28","volume-title":"Evolutionary computation: toward a new philosophy of machine intelligence","author":"DB Fogel","year":"1995","unstructured":"Fogel DB (1995) Evolutionary computation: toward a new philosophy of machine intelligence. IEEE Press, Piscataway"},{"key":"1593_CR29","first-page":"416","volume":"93","author":"CM Fonseca","year":"1993","unstructured":"Fonseca CM, Fleming PJ (1993) Genetic algorithms for multiobjective optimization: formulation, discussion and generalization. ICGA 93:416\u2013423","journal-title":"ICGA"},{"key":"1593_CR30","doi-asserted-by":"crossref","unstructured":"Fonseca CM, Fleming PJ (1995) An overview of evolutionary algorithms in multiobjective optimization. Evol Comput 3(1):1\u201316","DOI":"10.1162\/evco.1995.3.1.1"},{"key":"1593_CR31","unstructured":"Gaspero LD (2003) Local search techniques for scheduling problems: algorithms and software tools. PhD thesis, Dipartimento di Matematica e Informatica-Universit\u00e0 degli Studi di Udine"},{"issue":"11","key":"1593_CR32","first-page":"73","volume":"11","author":"M Gen","year":"2005","unstructured":"Gen M, Lin L (2005) Multi-objective hybrid genetic algorithm for bicriteria network design problem. Complex Int 11(11):73\u201383","journal-title":"Complex Int"},{"key":"1593_CR33","doi-asserted-by":"crossref","unstructured":"Glover F, Laguna M (1997) Tabu Search. Kluwer","DOI":"10.1007\/978-1-4615-6089-0"},{"key":"1593_CR34","unstructured":"Goldberg DE (1989) genetic algorithms in search, optimization and machine learning. Addison-Wesley, Reading"},{"key":"1593_CR35","first-page":"42","volume":"60","author":"V Guliashki","year":"2009","unstructured":"Guliashki V, Toshev H, Korsemov C (2009) Survey of evolutionary algorithms used in multiobjective optimization. Prob Eng Cybern Robot 60:42\u201354","journal-title":"Prob Eng Cybern Robot"},{"issue":"2","key":"1593_CR36","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1007\/BF01759923","volume":"4","author":"P Hajela","year":"1992","unstructured":"Hajela P, Lin CY (1992) Genetic search strategies in multicriterion optimal design. Struct Optim 4(2):99\u2013107","journal-title":"Struct Optim"},{"key":"1593_CR37","doi-asserted-by":"crossref","unstructured":"Hamada N, Nagata Y, Kobayashi S, Ono I (2010) Adaptive weighted aggregation: a multiobjective function optimization framework taking account of spread and evenness of approximate solutions. In: Evolutionary computation (CEC), 2010 IEEE Congress on, pp 1\u20138","DOI":"10.1109\/CEC.2010.5586368"},{"key":"1593_CR38","doi-asserted-by":"crossref","unstructured":"Hamada N, Nagata Y, Kobayashi S, Ono I (2011) Adaptive weighted aggregation 2: more scalable AWA for multiobjective function optimization. In: Evolutionary computation (CEC), 2011 IEEE congress on, pp 2375\u20132382","DOI":"10.1109\/CEC.2011.5949911"},{"issue":"4","key":"1593_CR39","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1023\/A:1006504901164","volume":"12","author":"F Herrera","year":"1998","unstructured":"Herrera F, Lozano M, Verdegay JL (1998) Tackling real-coded genetic algorithms: operators and tools for behavioural analysis. Artif Intell Rev 12(4):265\u2013319","journal-title":"Artif Intell Rev"},{"issue":"3","key":"1593_CR40","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1002\/int.10091","volume":"18","author":"F Herrera","year":"2003","unstructured":"Herrera F, Lozano M, S\u00e1nchez AM (2003) A taxonomy for the crossover operator for real-coded genetic algorithms: an experimental study. Int J Intell Syst 18(3):309\u2013338","journal-title":"Int J Intell Syst"},{"key":"1593_CR41","unstructured":"Holland JH (1975) Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence. U Michigan Press"},{"key":"1593_CR42","doi-asserted-by":"crossref","unstructured":"Horn J, Nafpliotis N, Goldberg DE (1994) A niched pareto genetic algorithm for multiobjective optimization. In: Evolutionary computation, 1994. IEEE world congress on computational intelligence., Proceedings of the first IEEE conference on, pp 82\u201387","DOI":"10.1109\/ICEC.1994.350037"},{"issue":"5","key":"1593_CR43","doi-asserted-by":"crossref","first-page":"477","DOI":"10.1109\/TEVC.2005.861417","volume":"10","author":"S Huband","year":"2006","unstructured":"Huband S, Hingston P, Barone L, While L (2006) A review of multiobjective test problems and a scalable test problem toolkit. Evol Comput IEEE Trans 10(5):477\u2013506","journal-title":"Evol Comput IEEE Trans"},{"key":"1593_CR44","volume-title":"Neuro-fuzzy and soft computing","author":"JSR Jang","year":"2004","unstructured":"Jang JSR, Sun CT, Mizutani E (2004) Neuro-fuzzy and soft computing. PHI, Pearson Education, New Delhi"},{"key":"1593_CR45","unstructured":"Jiang S, Cai Z, Zhang J, Ong YS (2011) Multiobjective optimization by decomposition with pareto-adaptive weight vectors. In: Natural computation (ICNC), 2011 seventh international conference on, IEEE, vol 3. pp 1260\u20131264"},{"key":"1593_CR46","doi-asserted-by":"crossref","unstructured":"Joines JA, Gupta D, Gokce MA, King RE, Kay MG (2002) Manufacturing supply chain applications 1: supply chain multi-objective simulation optimization. In: Proceedings of the 34th conference on winter simulation: exploring new frontiers, winter simulation conference, WSC \u201902, pp 1306\u20131314","DOI":"10.1109\/WSC.2002.1166395"},{"issue":"3","key":"1593_CR47","first-page":"357","volume":"27","author":"AM Jubril","year":"2012","unstructured":"Jubril AM (2012) A nonlinear weights selection in weighted sum for convex multiobjective optimization. Facta Univ Ser Math Inf 27(3):357\u2013372","journal-title":"Facta Univ Ser Math Inf"},{"issue":"2","key":"1593_CR48","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1007\/s00158-004-0465-1","volume":"29","author":"IY Kim","year":"2005","unstructured":"Kim IY, De Weck O (2005) Adaptive weighted-sum method for bi-objective optimization: pareto front generation. Struct Multidis Optim 29(2):149\u2013158","journal-title":"Struct Multidis Optim"},{"issue":"2","key":"1593_CR49","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"},{"issue":"9","key":"1593_CR50","doi-asserted-by":"crossref","first-page":"992","DOI":"10.1016\/j.ress.2005.11.018","volume":"91","author":"A Konak","year":"2006","unstructured":"Konak A, Coit DW, Smith AE (2006) Multi-objective optimization using genetic algorithms: a tutorial. Reliab Eng Syst Saf 91(9):992\u20131007","journal-title":"Reliab Eng Syst Saf"},{"key":"1593_CR51","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1007\/978-1-4899-3734-6_9","volume-title":"Multicriteria optimization in engineering and in the sciences","author":"J Koski","year":"1988","unstructured":"Koski J (1988) Multicriteria truss optimization. Multicriteria optimization in engineering and in the sciences. Springer, US, pp 263\u2013307"},{"issue":"5","key":"1593_CR52","doi-asserted-by":"crossref","first-page":"474","DOI":"10.1109\/TEVC.2005.850260","volume":"9","author":"N Krasnogor","year":"2005","unstructured":"Krasnogor N, Smith J (2005) A tutorial for competent memetic algorithms: model, taxonomy, and design issues. Evol Comput IEEE Trans 9(5):474\u2013488","journal-title":"Evol Comput IEEE Trans"},{"key":"1593_CR53","doi-asserted-by":"crossref","unstructured":"Li H, Landa-Silva D (2008) Evolutionary multi-objective simulated annealing with adaptive and competitive search direction. In: Evolutionary computation, 2008. CEC 2008. (IEEE World congress on computational intelligence). IEEE congress on, pp 3311\u20133318","DOI":"10.1109\/CEC.2008.4631246"},{"issue":"5","key":"1593_CR54","doi-asserted-by":"crossref","first-page":"692","DOI":"10.1109\/TEVC.2010.2046173","volume":"15","author":"B McGinley","year":"2011","unstructured":"McGinley B, Maher J, O\u2019Riordan C, Morgan F (2011) Maintaining healthy population diversity using adaptive crossover, mutation, and selection. Evol Comput IEEE Trans 15(5):692\u2013714","journal-title":"Evol Comput IEEE Trans"},{"issue":"1","key":"1593_CR55","doi-asserted-by":"crossref","first-page":"266","DOI":"10.1016\/j.asoc.2011.08.047","volume":"12","author":"D Mongus","year":"2012","unstructured":"Mongus D, Repnik B, Mernik M, \u017dalik B (2012) A hybrid evolutionary algorithm for tuning a cloth-simulation model. Appl Soft Comput 12(1):266\u2013273","journal-title":"Appl Soft Comput"},{"key":"1593_CR56","first-page":"1989","volume":"826","author":"P Moscato","year":"1989","unstructured":"Moscato P (1989) On evolution, search, optimization, genetic algorithms and martial arts: towards memetic algorithms. Caltech concurrent computation program, C3P. Report 826:1989","journal-title":"Report"},{"key":"1593_CR57","unstructured":"Mostaghim S (2004) Multi-objective evolutionary algorithms. Data structures, convergence, and diversity. PhD thesis, University of Paderborn, Germany"},{"key":"1593_CR58","doi-asserted-by":"crossref","unstructured":"Nelder JA, Mead R (1965) A simplex method for function minimization. Comput J 7(4):308\u2013313","DOI":"10.1093\/comjnl\/7.4.308"},{"key":"1593_CR59","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.swevo.2012.05.001","volume":"6","author":"TT Nguyen","year":"2012","unstructured":"Nguyen TT, Yang S, Branke J (2012) Evolutionary dynamic optimization: a survey of the state of the art. Swarm Evol Comput 6:1\u201324","journal-title":"Swarm Evol Comput"},{"issue":"1","key":"1593_CR60","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1109\/TSMCB.2005.856143","volume":"36","author":"YS Ong","year":"2006","unstructured":"Ong YS, Lim MH, Zhu N, Wong KW (2006) Classification of adaptive memetic algorithms: a comparative study. Syst Man Cybern Part B Cybern IEEE Trans 36(1):141\u2013152","journal-title":"Syst Man Cybern Part B Cybern IEEE Trans"},{"issue":"2","key":"1593_CR61","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1109\/MCI.2010.936309","volume":"5","author":"YS Ong","year":"2010","unstructured":"Ong YS, Lim M, Chen X (2010) Memetic computation: past, present and future [Research Frontier]. Comput Intell Mag IEEE 5(2):24\u201331","journal-title":"Comput Intell Mag IEEE"},{"issue":"3","key":"1593_CR62","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1109\/4235.873238","volume":"4","author":"T Runarsson","year":"2000","unstructured":"Runarsson T, Yao X (2000) Stochastic ranking for constrained evolutionary optimization. Evol Comput IEEE Trans 4(3):284\u2013294","journal-title":"Evol Comput IEEE Trans"},{"issue":"2","key":"1593_CR63","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1109\/4235.728207","volume":"2","author":"R Salomon","year":"1998","unstructured":"Salomon R (1998) Evolutionary algorithms and gradient search: similarities and differences. Evol Comput IEEE Trans 2(2):45\u201355","journal-title":"Evol Comput IEEE Trans"},{"key":"1593_CR64","unstructured":"Schaffer JD (1985) Multiple objective optimization with vector evaluated genetic algorithms. In: Proceedings of the 1st international conference on genetic algorithms, L. Erlbaum Associates Inc., pp 93\u2013100"},{"key":"1593_CR65","doi-asserted-by":"crossref","unstructured":"Srinivas N, Deb K (1994) Muiltiobjective optimization using nondominated sorting in genetic algorithms. Evol Comput 2(3):221\u2013248","DOI":"10.1162\/evco.1994.2.3.221"},{"key":"1593_CR66","unstructured":"Steuer RE (1986) Multiple criteria optimization: theory., Computation and applicationWiley, New York"},{"issue":"3","key":"1593_CR67","doi-asserted-by":"crossref","first-page":"1508","DOI":"10.1109\/59.336110","volume":"9","author":"J Talaq","year":"1994","unstructured":"Talaq J, El-Hawary F, El-Hawary M (1994) A summary of environmental\/economic dispatch algorithms. Power Syst IEEE Trans 9(3):1508\u20131516","journal-title":"Power Syst IEEE Trans"},{"key":"1593_CR68","unstructured":"Van Veldhuizen DA (1999) Multiobjective evolutionary algorithms: classifications, analyses, and new innovations. PhD thesis, Air Force Institute of Technology, Wright Patterson AFB, OH, USA"},{"key":"1593_CR69","doi-asserted-by":"crossref","unstructured":"Van Veldhuizen DA, Lamont GB (1999) Multiobjective evolutionary algorithm test suites. In: Proceedings of the 1999 ACM symposium on Applied computing, New York, USA, SAC \u201999, pp 351\u2013357","DOI":"10.1145\/298151.298382"},{"key":"1593_CR70","doi-asserted-by":"crossref","first-page":"656","DOI":"10.1016\/j.ins.2014.02.154","volume":"277","author":"N Ve\u010dek","year":"2014","unstructured":"Ve\u010dek N, Mernik M, \u010crepin\u0161ek M (2014) A chess rating system for evolutionary algorithms: a new method for the comparison and ranking of evolutionary algorithms. Inf Sci 277:656\u2013679","journal-title":"Inf Sci"},{"key":"1593_CR71","unstructured":"Weise T (2009) Global optimization algorithms: theory and application, 2nd edn. Self-Published"},{"key":"1593_CR72","volume-title":"Power generation, operation, and control","author":"AJ Wood","year":"2011","unstructured":"Wood AJ, Wollenberg BF (2011) Power generation, operation, and control. Wiley, New Delhi"},{"issue":"1","key":"1593_CR73","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1109\/TAC.1963.1105511","volume":"8","author":"L Zadeh","year":"1963","unstructured":"Zadeh L (1963) Optimality and non-scalar-valued performance criteria. Autom Control IEEE Trans 8(1):59\u201360","journal-title":"Autom Control IEEE Trans"},{"issue":"1","key":"1593_CR74","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.swevo.2011.03.001","volume":"1","author":"A Zhou","year":"2011","unstructured":"Zhou A, Qu BY, Li H, Zhao SZ, Suganthan PN, Zhang Q (2011) Multiobjective evolutionary algorithms: a survey of the state of the art. Swarm Evol Comput 1(1):32\u201349","journal-title":"Swarm Evol Comput"},{"key":"1593_CR75","unstructured":"Zitzler E (1999) Evolutionary algorithms for multiobjective optimization: methods and applications. PhD thesis, ETH Zurich, Switzerland"},{"issue":"4","key":"1593_CR76","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) Multiobjective evolutionary algorithms: a comparative case study and the strength pareto approach. Evol Comput IEEE Trans 3(4):257\u2013271","journal-title":"Evol Comput IEEE Trans"},{"issue":"2","key":"1593_CR77","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 multiobjective evolutionary algorithms: empirical results. Evol Comput 8(2):173\u2013195","journal-title":"Evol Comput"},{"key":"1593_CR78","unstructured":"Zitzler E, Laumanns M, Thiele L (2001) SPEA2: improving the strength pareto evolutionary algorithm for multiobjective optimization. In: Evolutionary methods for design optimization and control with applications to industrial problems, pp 95\u2013100"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-015-1593-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00500-015-1593-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-015-1593-9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,21]],"date-time":"2019-08-21T00:27:24Z","timestamp":1566347244000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00500-015-1593-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,2,15]]},"references-count":78,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2016,4]]}},"alternative-id":["1593"],"URL":"https:\/\/doi.org\/10.1007\/s00500-015-1593-9","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,2,15]]}}}