{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,4]],"date-time":"2025-06-04T01:10:11Z","timestamp":1748999411088,"version":"3.41.0"},"reference-count":41,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2016,7,11]],"date-time":"2016-07-11T00:00:00Z","timestamp":1468195200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Artif Intell Rev"],"published-print":{"date-parts":[[2017,6]]},"DOI":"10.1007\/s10462-016-9493-7","type":"journal-article","created":{"date-parts":[[2016,7,11]],"date-time":"2016-07-11T14:59:19Z","timestamp":1468249159000},"page":"1-29","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["A multiagent, dynamic rank-driven multi-deme architecture for real-valued multiobjective optimization"],"prefix":"10.1007","volume":"48","author":[{"given":"Adnan","family":"Acan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nasser","family":"Lotfi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,7,11]]},"reference":[{"key":"9493_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/1-84628-137-7","volume-title":"Evolutionary multiobjective optimization","author":"A Abraham","year":"2005","unstructured":"Abraham A, Lakhmi J, Goldberg R (2005) Evolutionary multiobjective optimization. Springer, London"},{"issue":"2","key":"9493_CR2","doi-asserted-by":"publisher","first-page":"499","DOI":"10.1007\/s10898-012-0012-3","volume":"57","author":"FB Aydemir","year":"2013","unstructured":"Aydemir FB, Gunay A, Oztoprak F, Birbil SE, Yolum P (2013) Multiagent cooperation for solving global optimization problems: an extendible framework with example cooperation strategies. J Glob Optim 57(2):499\u2013519","journal-title":"J Glob Optim"},{"key":"9493_CR3","doi-asserted-by":"publisher","first-page":"991","DOI":"10.1007\/s10845-010-0435-y","volume":"23","author":"ME Aydin","year":"2013","unstructured":"Aydin ME (2013) Coordinating metaheuristic agents with swarm intelligence. J Intell Manuf 23:991\u2013999","journal-title":"J Intell Manuf"},{"issue":"3","key":"9493_CR4","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1109\/TEVC.2007.900837","volume":"12","author":"S Bandyopadhyay","year":"2008","unstructured":"Bandyopadhyay S, Saha S, Maulik U, Deb K (2008) A simulated annealing based multiobjective optimization algorithm: AMOSA. IEEE Trans Evolut Comput 12(3):269\u2013283","journal-title":"IEEE Trans Evolut Comput"},{"issue":"1","key":"9493_CR5","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1109\/TEVC.2010.2051445","volume":"16","author":"PAN Bosman","year":"2014","unstructured":"Bosman PAN (2014) On gradients and hybrid evolutionary algorithms for real-valued multiobjective optimization. IEEE Trans Evolut Comput 16(1):51\u201369","journal-title":"IEEE Trans Evolut Comput"},{"key":"9493_CR6","unstructured":"Cadenas JM, Garrido MC, Munoz E (2008) Construction of a cooperative metaheuristic system based on data mining and soft-computing: methodological issues. In: Proceedings of information processing and management of uncertainty\u2014IPMU\u201908, pp 1246\u20131253"},{"key":"9493_CR7","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1016\/S0921-8890(00)00088-9","volume":"33","author":"A Cardon","year":"2000","unstructured":"Cardon A, Galinho T, Vacher J (2000) Genetic algorithms using multiobjectives in a multiagent system. Robot Auton Syst 33:179\u2013190","journal-title":"Robot Auton Syst"},{"key":"9493_CR8","unstructured":"Coello CA, Lechuga MS (2002) MOPSO: a proposal for multiple objective optimization. In: Proceedings of IEEE congress on evolutionary computation (CEC\u20192002), US, pp 1051\u20131056"},{"issue":"2","key":"9493_CR9","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1109\/4235.996017","volume":"6","author":"K Deb","year":"2002","unstructured":"Deb K, Agrawal S, Pratap A, Meyarivan T (2002) A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evolut Comput 6(2):182\u2013197","journal-title":"IEEE Trans Evolut Comput"},{"key":"9493_CR10","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/j.swevo.2011.02.002","volume":"1","author":"J Derrac","year":"2011","unstructured":"Derrac J, Garcia S, Molina D, Herrera F (2011) A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms. Swarm Evolut Comput 1:3\u201318","journal-title":"Swarm Evolut Comput"},{"key":"9493_CR11","doi-asserted-by":"crossref","unstructured":"Drezewski R, Siwik L (2006a) Co-Evolutionary multiagent system with sexual selection mechanism for multiobjective optimization. In: IEEE congress on evolutionary computation, pp 769\u2013776","DOI":"10.1109\/CEC.2006.1688389"},{"key":"9493_CR12","doi-asserted-by":"crossref","unstructured":"Drezewski R, Siwik L (2006b) Multiobjective optimization using co-evolutionary multiagent system with host-parasite mechanism. In: 6th international conference on computational science, Lecture notes in computer science, pp 871\u2013878","DOI":"10.1007\/11758532_113"},{"key":"9493_CR13","unstructured":"Fonseca CM, Fleming PJ (1993) Genetic algorithm for multiobjective optimization, formulation, discussion and generalization. In: Proceedings of the Fifth international conference on genetic algorithms, pp 416\u2013423"},{"key":"9493_CR14","doi-asserted-by":"crossref","unstructured":"Goncalves RA, Kuk JN, Almeida CP, Venske SM (2015) Decomposition based multiobjective hyperheuristic with differential evolution. In: International conference on computational collective intelligence\u2014ICCCI2015, pp 129\u2013138","DOI":"10.1007\/978-3-319-24306-1_13"},{"key":"9493_CR15","unstructured":"Jiang S, Zhang J, Ong YS (2012) A multiagent evolutionary framework based on trust for multiobjective optimization. In: Proceedings of the 11th international conference on autonomous agents and multiagent systems, pp 299\u2013306"},{"key":"9493_CR16","doi-asserted-by":"publisher","unstructured":"Khan W, Zhang Q (2010) MOEA\/D-DRA with two crossover operators. In: UK workshop on computational intelligence\u2014UKCI2010, pp 1\u20136","DOI":"10.1109\/UKCI.2010.5625578"},{"key":"9493_CR17","unstructured":"Kisiel-Dorohinicki M, Socha K (2001) Crowding factor in evolutionary multiagent system for multiobjective optimization. In: Proceedings of the international conference on artificial intelligence\u2014IC-AI 2001, vol 1"},{"key":"9493_CR18","doi-asserted-by":"publisher","unstructured":"Kukkonen S, Lampinen J (2009) Performance assessment of generalized differential evolution 3 with a given set of constrained multiobjective test problems. In: Proceedings of the IEEE eleventh conference on evolutionary computation, CEC 2009, pp 2913\u20132918","DOI":"10.1109\/CEC.2009.4983178"},{"issue":"2","key":"9493_CR19","doi-asserted-by":"publisher","first-page":"157","DOI":"10.3390\/a8020157","volume":"8","author":"W Li","year":"2015","unstructured":"Li W, Wang L, Jiang Q, Hei X, Wang B (2015) Multiobjective cloud particle optimization algorithm based on decomposition. Algorithms 8(2):157\u2013176","journal-title":"Algorithms"},{"key":"9493_CR20","doi-asserted-by":"publisher","unstructured":"Liu H, Li X (2009) The multiobjective evolutionary algorithm based on determined weight and sub-regional search. In: Proceedings of the IEEE eleventh conference on evolutionary computation, CEC 2009, pp 1928\u20131934","DOI":"10.1109\/CEC.2009.4983176"},{"key":"9493_CR21","doi-asserted-by":"publisher","unstructured":"Liu M, Zou X, Chen Y, Wu Z (2009) Performance assessment of DMOEA-DD with CEC 2009 MOEA competition test instances. In: Proceedings of the IEEE eleventh conference on evolutionary computation, CEC 2009, pp 1951\u20131958","DOI":"10.1109\/CEC.2009.4983309"},{"key":"9493_CR22","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1016\/j.asoc.2014.03.007","volume":"21","author":"W Mashwani","year":"2014","unstructured":"Mashwani W, Salhi A (2014) Multiobjective memetic algorithm based on decomposition. Appl Soft Comput 21:221\u2013243","journal-title":"Appl Soft Comput"},{"key":"9493_CR23","unstructured":"Meignan D, Creput JC, Koukam A (2008) An organizational view of metaheuristics. In: Proceedings of first international workshop on optimisation in multi-agent systems, pp 77\u201385"},{"key":"9493_CR24","doi-asserted-by":"publisher","first-page":"925","DOI":"10.1109\/TSMCB.2003.818432","volume":"33","author":"M Milano","year":"2004","unstructured":"Milano M, Roli A (2004) MAGMA: a multiagent architecture for metaheuristics. IEEE Trans Syst Man Cybern 33:925\u2013941","journal-title":"IEEE Trans Syst Man Cybern"},{"key":"9493_CR25","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1007\/s10458-005-2631-2","volume":"11","author":"L Panait","year":"2005","unstructured":"Panait L, Luke S (2005) Cooperative multiagent learning: the state of the art. Auton Agents Multiagent Syst 11:387\u2013434","journal-title":"Auton Agents Multiagent Syst"},{"key":"9493_CR26","unstructured":"Siwik L, Natanek S (2008) Solving constrained multi-criteria optimization tasks using elitist evolutionary multiagent system. In: World congress on computational intelligence, IEEE CEC, pp 3358\u20133365"},{"key":"9493_CR27","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1023\/A:1008942012299","volume":"8","author":"P Stone","year":"2000","unstructured":"Stone P, Veloso M (2000) Multiagent systems: a survey from a machine learning perspective. Auton Robot 8:345\u2013383","journal-title":"Auton Robot"},{"key":"9493_CR28","unstructured":"Stuart R, Norvig P (2003) Artificial Intelligence: a modern approach, chap. 2, 2nd edn. Prentice Hall, Upper Saddle River. ISBN 0-13-790395-2"},{"issue":"2","key":"9493_CR29","first-page":"79","volume":"19","author":"KP Sycara","year":"1998","unstructured":"Sycara KP (1998) Multiagent systems. AI Mag 19(2):79\u201392","journal-title":"AI Mag"},{"key":"9493_CR30","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/S0377-2217(00)00268-X","volume":"135","author":"ED Taillard","year":"2001","unstructured":"Taillard ED, Gambardella LM, Gendrau M, Potvin JY (2001) Adaptive memory programming: a unified view of metaheuristics. Eur J Oper Res 135:1\u201316","journal-title":"Eur J Oper Res"},{"key":"9493_CR31","unstructured":"Teixeira F, Castro AJM, Rocha AP, Oliveira E (2013) Multiagent learning in both cooperative and competitive environments. In; Proceedings of the XVI Portuguese Conference on AI-EPAI 2013, pp 370\u2013381"},{"key":"9493_CR32","doi-asserted-by":"publisher","unstructured":"Tseng LY, Chen C (2009) Multiple trajectory search for unconstrained\/constrained multiobjective optimization. In: Proceedings of the IEEE eleventh conference on evolutionary computation, CEC 2009, pp 1951\u20131958","DOI":"10.1109\/CEC.2009.4983179"},{"key":"9493_CR33","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1016\/j.ejor.2015.03.005","volume":"245","author":"Y Xiang","year":"2015","unstructured":"Xiang Y, Zhou Y, Liu H (2015) An elitism based multi-objective artificial bee colony algorithm. Eur J Oper Res 245:168\u2013193","journal-title":"Eur J Oper Res"},{"key":"9493_CR34","unstructured":"Xue F, Sanderson AC, Graves RJ (2003) Pareto-based multiobjective differential evolution. In: IEEE congress on evolutionary computation (CEC\u20192003), Australia, pp 862\u2013869"},{"key":"9493_CR35","doi-asserted-by":"publisher","unstructured":"Zhang Q, Liu W, Li H (2009) The performance of a new version of MOEA\/D on CEC09 unconstrained MOP test instances. In: Proceedings of the IEEE eleventh conference on evolutionary computation, CEC 2009, Norway, pp 203\u2013208","DOI":"10.1109\/CEC.2009.4982949"},{"key":"9493_CR36","doi-asserted-by":"publisher","unstructured":"Zhang Q, Liu W, Li H (2009) The performance of a new version of MOEA\/D on CEC2009 unconstrained MOP test instances. In: IEEE congress on evolutionary computation\u2014CEC2009, pp 203\u2013208","DOI":"10.1109\/CEC.2009.4982949"},{"key":"9493_CR37","unstructured":"Zhang Q, Suganthan PN (2008) Final report on CEC\u201909 MOEA competition, Working Report, CES-887. School of Computer Science and Electrical Engineering, University of Essex"},{"key":"9493_CR38","unstructured":"Zhang Q, Zhou A, Zhao S, Suganthan P, Liu W, Tiwari S (2009) Special session and competition, Technical Report CES-487. The School of Computer Science and Electronic Engineering, University of Essex"},{"issue":"3","key":"9493_CR39","doi-asserted-by":"publisher","first-page":"442","DOI":"10.1109\/TEVC.2011.2166159","volume":"16","author":"SZ Zhao","year":"2012","unstructured":"Zhao SZ, Suganthan PN, Zhang Q (2012) Decomposition-based multiobjective evolutionary algorithm with an ensemble of neighborhood size. IEEE Trans Evolut Comput 16(3):442\u2013446","journal-title":"IEEE Trans Evolut Comput"},{"key":"9493_CR40","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1016\/j.swevo.2011.03.001","volume":"1","author":"A Zhou","year":"2011","unstructured":"Zhou A, Qu B-Y, Li H, Zhao S-Z, Suganthan PN (2011) Multiobjective evolutionary algorithms: a survey of the state-of-the-art. Swarm Evolut Comput 1:32\u201349","journal-title":"Swarm Evolut Comput"},{"key":"9493_CR41","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":["Artificial Intelligence Review"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10462-016-9493-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10462-016-9493-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10462-016-9493-7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10462-016-9493-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,4]],"date-time":"2025-06-04T00:34:58Z","timestamp":1748997298000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10462-016-9493-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,7,11]]},"references-count":41,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2017,6]]}},"alternative-id":["9493"],"URL":"https:\/\/doi.org\/10.1007\/s10462-016-9493-7","relation":{},"ISSN":["0269-2821","1573-7462"],"issn-type":[{"type":"print","value":"0269-2821"},{"type":"electronic","value":"1573-7462"}],"subject":[],"published":{"date-parts":[[2016,7,11]]}}}