{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T07:30:40Z","timestamp":1761895840173},"reference-count":54,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2014,4,10]],"date-time":"2014-04-10T00:00:00Z","timestamp":1397088000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2015,3]]},"DOI":"10.1007\/s00500-014-1273-1","type":"journal-article","created":{"date-parts":[[2014,4,9]],"date-time":"2014-04-09T11:43:29Z","timestamp":1397043809000},"page":"547-566","source":"Crossref","is-referenced-by-count":14,"title":["Dynamic optimization facilitated by the memory tree"],"prefix":"10.1007","volume":"19","author":[{"given":"Tao","family":"Zhu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenjian","family":"Luo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lihua","family":"Yue","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2014,4,10]]},"reference":[{"key":"1273_CR1","volume-title":"Improving memory for optimization and learning in dynamic environments","author":"GJ Barlow","year":"2011","unstructured":"Barlow GJ (2011) Improving memory for optimization and learning in dynamic environments. Doctoral dissertation, Carnegie Mellon University, Pittsburgh"},{"key":"1273_CR2","unstructured":"Bendtsen CN, Krink T (2002) Dynamic memory model for non-stationary optimization. In: Proceedings 2002 Congress Evolutionary Computation, pp 145\u2013150"},{"key":"1273_CR3","doi-asserted-by":"crossref","unstructured":"Bird S, Li X (2006) Enhancing the robustness of a speciation-based pso. In: IEEE Congress on Evolutionary Computation, Vancouver, pp 843\u2013850","DOI":"10.1109\/CEC.2006.1688399"},{"key":"1273_CR4","doi-asserted-by":"crossref","unstructured":"Bird S, Li X (2007) Using regression to improve local convergence. In: IEEE Congress on Evolutionary Computation 2007","DOI":"10.1109\/CEC.2007.4424524"},{"issue":"4","key":"1273_CR5","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1109\/TEVC.2005.857074","volume":"10","author":"T Blackwell","year":"2006","unstructured":"Blackwell T, Branke J (2006) Multiswarms, exclusion, and anti-convergence in dynamic environments. IEEE Trans Evol Comput 10(4):459\u2013472","journal-title":"IEEE Trans Evol Comput"},{"key":"1273_CR6","doi-asserted-by":"crossref","unstructured":"Bosman (2005) Learning, anticipation and time deception in evolutionary online dynamic optimization. In: GECCO\u201905, Washington, pp 39\u201347","DOI":"10.1145\/1102256.1102264"},{"key":"1273_CR7","doi-asserted-by":"crossref","unstructured":"Branke J (1999) Memory enhanced evolutionary algorithms for changing optimization problems. In: The 1999 IEEE Congress on Evolutionary Computation, Washington, pp 1875\u20131882","DOI":"10.1109\/CEC.1999.785502"},{"key":"1273_CR8","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4615-0911-0","volume-title":"Evolutionary optimization in dynamic environments","author":"J Branke","year":"2002","unstructured":"Branke J (2002) Evolutionary optimization in dynamic environments. Kluwer Academic Publishers, Dordrecht"},{"key":"1273_CR9","doi-asserted-by":"crossref","unstructured":"Branke J, Kau\u00dfler T, Schmidt C, Schmeck H (2000) A multi-population approach to dynamic optimization problems","DOI":"10.1007\/978-1-4471-0519-0_24"},{"key":"1273_CR10","doi-asserted-by":"crossref","unstructured":"Brest J, Zamuda A, Boskovic B, Maucec MS, Zumer V (2009) Dynamic optimization using self-adaptive differential evolution. In: The 2009 IEEE Congress on Evolutionary Computation, Trondheim, pp 415\u2013422","DOI":"10.1109\/CEC.2009.4982976"},{"key":"1273_CR11","doi-asserted-by":"crossref","unstructured":"Cao Y, Luo W (2010) A novel updating strategy for associative memory scheme in cyclic dynamic environments. In: Proceedings of the Third International Workshop on Advanced Computational Intelligence, Suzhou","DOI":"10.1007\/978-3-642-16493-4"},{"key":"1273_CR12","doi-asserted-by":"crossref","unstructured":"Cedeno W, Vemuri VR (1997) On the use of niching for dynamic landscapes. In: The 1997 International Conference on Evolutionary Computation, pp 361\u2013366","DOI":"10.1109\/ICEC.1997.592336"},{"issue":"6","key":"1273_CR13","doi-asserted-by":"crossref","first-page":"741","DOI":"10.1109\/TEVC.2010.2040180","volume":"15","author":"CK Chow","year":"2011","unstructured":"Chow CK, Yuen SY (2011) An evolutionary algorithm that makes decision based on the entire previous search history. IEEE Trans Evol Comput 15(6):741\u2013769","journal-title":"IEEE Trans Evol Comput"},{"issue":"2","key":"1273_CR14","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1109\/TEVC.2010.2098411","volume":"16","author":"CK Chow","year":"2012","unstructured":"Chow CK, Yuen SY (2012) A multiobjective evolutionary algorithm that diversifies population by its density. IEEE Trans Evol Comput 16(2):149\u2013172","journal-title":"IEEE Trans Evol Comput"},{"issue":"1","key":"1273_CR15","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1109\/4235.985692","volume":"6","author":"M Clerc","year":"2002","unstructured":"Clerc M, Kennedy J (2002) The particle swarm\u2014explosion, stability, and convergence in a multidimensional complex space. IEEE Trans Evol Comput 6(1):58\u201373","journal-title":"IEEE Trans Evol Comput"},{"key":"1273_CR16","volume-title":"An investigation into the use of hypermutation as an adaptive operator in genetic algorithms having continuous, time-dependent nonstationary environments","author":"HG Cobb","year":"1990","unstructured":"Cobb HG (1990) An investigation into the use of hypermutation as an adaptive operator in genetic algorithms having continuous, time-dependent nonstationary environments. Technical Report AIC-90-001, Naval Research Laboratory, Washington"},{"key":"1273_CR17","unstructured":"Dasgupta D, McGregor DR (1992) Nonstationary function optimization using the structured genetic algorithm"},{"key":"1273_CR18","doi-asserted-by":"crossref","unstructured":"Eberhart R, Kennedy J (1995) New optimizer using particle swarm theory. In: Proceedings of the 1995 6th International Symposium on Micro Machine and Human Science, Nagoya, pp 39\u201343","DOI":"10.1109\/MHS.1995.494215"},{"key":"1273_CR19","doi-asserted-by":"crossref","unstructured":"Eggermont J, Lenaerts T (2002) Dynamic optimization using evolutionary algorithms with a case-based, memory","DOI":"10.1007\/3-540-45355-5_22"},{"issue":"3","key":"1273_CR20","doi-asserted-by":"crossref","first-page":"190","DOI":"10.1287\/ijoc.1.3.190","volume":"1","author":"G Fred","year":"1989","unstructured":"Fred G (1989) Tabu search part i. ORSA J Comput 1(3):190\u2013206","journal-title":"ORSA J Comput"},{"key":"1273_CR21","doi-asserted-by":"crossref","unstructured":"Jin Y, Branke J (2005) Evolutionary optimization in uncertain environments\u2014a survey. IEEE Trans Evol Comput 9(3):303\u2013317","DOI":"10.1109\/TEVC.2005.846356"},{"key":"1273_CR22","doi-asserted-by":"crossref","unstructured":"Karaman A, Uyar S, Eryigit G (2005) The memory indexing evolutionary algorithm for dynamic environments. In: Lecture notes in computer science, vol 3449. Heidelberg, D-69121, Germany, pp 563\u2013573","DOI":"10.1007\/978-3-540-32003-6_59"},{"key":"1273_CR23","doi-asserted-by":"crossref","unstructured":"Kennedy J, Mendes R (2002) Population structure and particle swarm performance. In: The 2002 IEEE Congress on Evolutionary Computation, pp 1671\u20131675","DOI":"10.1109\/CEC.2002.1004493"},{"key":"1273_CR24","unstructured":"Lee SK, Moon BR (2009) Genetic algorithm with adaptive elitism-based immigrants for dynamic optimization problems. In: The 11th Annual conference on Genetic and evolutionary computation, Montreal, pp 1865\u20131866"},{"key":"1273_CR25","doi-asserted-by":"crossref","unstructured":"Li X (2004) Adaptively choosing neighbourhood bests using species in a particle swarm optimizer for multimodal function optimization. In: Proceedings of Genetic and Evolutionary Computation Conference, pp 105\u2013116","DOI":"10.1007\/978-3-540-24854-5_10"},{"key":"1273_CR26","doi-asserted-by":"crossref","unstructured":"Li X, Branke J, Blackwell T (2006) Particle swarm with speciation and adaptation in a dynamic environment. In: Proceedings of the 8th annual conference on Genetic and evolutionary computation","DOI":"10.1145\/1143997.1144005"},{"key":"1273_CR27","volume-title":"Benchmark generator for cec 2009 competition on dynamic optimization","author":"C Li","year":"2008","unstructured":"Li C, Yang S, Nguyen TT, Yu EL, Yao X, Jin Y, Beyer HG, Suganthan PN (2008) Benchmark generator for cec 2009 competition on dynamic optimization. Department of Computer Science, University of Leicester, Technical report, UK"},{"issue":"6","key":"1273_CR28","doi-asserted-by":"crossref","first-page":"1634","DOI":"10.1109\/TSMCB.2010.2043527","volume":"40","author":"L Liu","year":"2010","unstructured":"Liu L, Yang S, Wang D (2010) Particle swarm optimization with composite particles in dynamic environments. IEEE Trans Syst Man Cybernet Part B 40(6):1634\u20131648","journal-title":"IEEE Trans Syst Man Cybernet Part B"},{"key":"1273_CR29","first-page":"843","volume":"1","author":"S Mostaghim","year":"2002","unstructured":"Mostaghim S, Teich J, Tyagi A (2002) Comparison of data structures for storing pareto-sets in moeas. CEC \u201902 1:843\u2013848","journal-title":"CEC \u201902"},{"key":"1273_CR30","doi-asserted-by":"crossref","unstructured":"Nguyen TT, Yang Z, Bonsall S (2012a) Dynamic time-linkage problems\u2014the challenges. In: 2012 9th IEEE RIVF International Conference on Computing and Communication Technologies, Research, Innovation, and Vision, Ho Chi Minh City","DOI":"10.1109\/rivf.2012.6169823"},{"key":"1273_CR31","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 (2012b) Evolutionary dynamic optimization: a survey of the state of the art. Swarm Evol Comput 6:1\u201324","journal-title":"Swarm Evol Comput"},{"issue":"4","key":"1273_CR32","doi-asserted-by":"crossref","first-page":"440","DOI":"10.1109\/TEVC.2005.859468","volume":"10","author":"D Parrott","year":"2006","unstructured":"Parrott D, Li X (2006) Locating and tracking multiple dynamic optima by a particle swarm model using speciation. IEEE Trans Evol Comput 10(4):440\u2013458","journal-title":"IEEE Trans Evol Comput"},{"key":"1273_CR33","unstructured":"Ramsey CL, Grefenstette JJ (1993) Case-based initialization of genetic algorithms. In: the 5th International Conference on Genetic Algorithms, pp 84\u201391"},{"issue":"12","key":"1273_CR34","doi-asserted-by":"crossref","first-page":"1163","DOI":"10.1007\/s00500-009-0420-6","volume":"13","author":"H Richter","year":"2009","unstructured":"Richter H, Yang S (2009) Learning behavior in abstract memory schemes for dynamic optimization problems. Soft Comput 13(12):1163\u20131173","journal-title":"Soft Comput"},{"issue":"3","key":"1273_CR35","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1016\/0303-2647(96)01621-8","volume":"39","author":"R Salomon","year":"1996","unstructured":"Salomon R (1996) Re-evaluating genetic algorithm performance under coordinate rotation of benchmark functions. A survey of some theoretical and practical aspects of genetic algorithms. Biosystems 39(3):263\u2013278","journal-title":"Biosystems"},{"key":"1273_CR36","doi-asserted-by":"crossref","unstructured":"Sch\u00fctze O (2003) A new data structure for the nondominance problem in multi-objective, Optimization","DOI":"10.1007\/3-540-36970-8_36"},{"key":"1273_CR37","doi-asserted-by":"crossref","unstructured":"Sim\u00f6es A, Costa E (2007a) Improving memory\u2019s usage in evolutionary algorithms for changing environments. In: The 2007 IEEE Congress on Evolutionary Computation, Singapore, pp 276\u2013283","DOI":"10.1109\/CEC.2007.4424482"},{"key":"1273_CR38","doi-asserted-by":"crossref","unstructured":"Sim\u00f6es A, Costa E (2007b) Variable-size memory evolutionary algorithm to deal with dynamic environments. In: Applications of evolutionary computing, vol. 4448. Springer, Berlin, pp 617\u2013626","DOI":"10.1007\/978-3-540-71805-5_68"},{"issue":"3","key":"1273_CR39","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1007\/s10710-007-9024-z","volume":"8","author":"R Tin\u00f3s","year":"2007","unstructured":"Tin\u00f3s R, Yang S (2007) A self-organizing random immigrants genetic algorithm for dynamic optimization problems. Gen Progr Evolv Mach 8(3):255\u2013286","journal-title":"Gen Progr Evolv Mach"},{"key":"1273_CR40","unstructured":"Urbanowicz RJ, Moore JH (2009) Learning classifier systems: a complete introduction, review, and roadmap. J Artif Evol Appl 2009"},{"key":"1273_CR41","unstructured":"Ursem RK (2000) Multinational gas: multimodal optimization techniques in dynamic environments. In: The 2000 Genetic and Evolutionary Computation Conference, vol. 1, Riviera Hotel, Las Vegas, pp 19\u201326"},{"issue":"11","key":"1273_CR42","doi-asserted-by":"crossref","first-page":"803","DOI":"10.1007\/s00500-004-0421-4","volume":"9","author":"AS Uyar","year":"2005","unstructured":"Uyar AS, Harmanci AE (2005) A new population based adaptive domination change mechanism for diploid genetic algorithms in dynamic environments. Soft Comput 9(11):803\u2013814","journal-title":"Soft Comput"},{"key":"1273_CR43","doi-asserted-by":"crossref","unstructured":"Vavak F, Fogarty TC, Jukes K (1996) A genetic algorithm with variable range of local search for tracking changing environments. In: Parallel Problem Solving from, Nature, pp 376\u2013385","DOI":"10.1007\/3-540-61723-X_1002"},{"key":"1273_CR44","doi-asserted-by":"crossref","unstructured":"Vavak F, Jukes K, Fogarty TC (1997) Learning the local search range for genetic optimisation in nonstationary environments. In: IEEE International Conference on Evolutionary Computation, pp 355\u2013360","DOI":"10.1109\/ICEC.1997.592335"},{"key":"1273_CR45","unstructured":"Yang S (2003) Non-stationary problem optimization using the primal-dual genetic algorithm. In: the 2003 IEEE Congress On Evolutionary Computation, vol 3, pp 2246\u20132253"},{"key":"1273_CR46","doi-asserted-by":"crossref","unstructured":"Yang S (2005) Memory-based immigrants for genetic algorithms in dynamic environments. In: The 2005 Genetic and Evolutionary Computation Conference, vol 2, Washington, pp 1115\u20131122","DOI":"10.1145\/1068009.1068196"},{"key":"1273_CR47","unstructured":"Yang S (2007) Genetic algorithms with elitism-based immigrants for chaning optimization problems. In: EvoWorkshops 2007: applications of evolutionary, computing, vol 4448, pp 627\u2013636"},{"issue":"3","key":"1273_CR48","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1007\/s11633-007-0243-9","volume":"4","author":"S Yang","year":"2007","unstructured":"Yang S, Tin\u00f3s R (2007) A hybrid immigrants scheme for genetic algorithms in dynamic environments. Intern J Autom Comput 4(3):243\u2013254","journal-title":"Intern J Autom Comput"},{"issue":"3","key":"1273_CR49","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1162\/evco.2008.16.3.385","volume":"16","author":"S Yang","year":"2008","unstructured":"Yang S (2008) Genetic algorithms with memory- and elitism-based immigrants in dynamic environments. Evol Comput 16(3):385\u2013416","journal-title":"Evol Comput"},{"issue":"5","key":"1273_CR50","doi-asserted-by":"crossref","first-page":"542","DOI":"10.1109\/TEVC.2007.913070","volume":"12","author":"S Yang","year":"2008","unstructured":"Yang S, Yao X (2008) Population-based incremental learning with associative memory for dynamic environments. IEEE Trans Evol Comput 12(5):542\u2013561","journal-title":"IEEE Trans Evol Comput"},{"issue":"6","key":"1273_CR51","doi-asserted-by":"crossref","first-page":"959","DOI":"10.1109\/TEVC.2010.2046667","volume":"14","author":"S Yang","year":"2010","unstructured":"Yang S, Li C (2010) A clustering particle swarm optimizer for locating and tracking multiple optima in dynamic environments. IEEE Trans Evol Comput 14(6):959\u2013974","journal-title":"IEEE Trans Evol Comput"},{"key":"1273_CR52","unstructured":"Yu EL, Suganthan PN (2009) Evolutionary programming with ensemble of explicit memories for dynamic optimization. In: The 2009 IEEE Congress on Evolutionary Computation, Trondheim, pp 431\u2013438"},{"issue":"2","key":"1273_CR53","doi-asserted-by":"crossref","first-page":"454","DOI":"10.1109\/TEVC.2008.2003008","volume":"13","author":"SY Yuen","year":"2009","unstructured":"Yuen SY, Chow CK (2009) A genetic algorithm that adaptively mutates and never revisits. IEEE Trans Evol Comput 13(2):454\u2013472","journal-title":"IEEE Trans Evol Comput"},{"key":"1273_CR54","doi-asserted-by":"crossref","unstructured":"Zhu T, Luo W, Li Z (2011) An adaptive strategy for updating the memory in evolutionary algorithms for dynamic optimization. In: Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, Paris","DOI":"10.1109\/CIDUE.2011.5948487"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-014-1273-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00500-014-1273-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-014-1273-1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,9]],"date-time":"2019-08-09T10:30:50Z","timestamp":1565346650000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00500-014-1273-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,4,10]]},"references-count":54,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2015,3]]}},"alternative-id":["1273"],"URL":"https:\/\/doi.org\/10.1007\/s00500-014-1273-1","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,4,10]]}}}