A Pareto-optimal genetic algorithm for warehouse multi-objective optimization

Poulos, PN; Rigatos, GG; Tzafestas, SG; Koukos, AK

dc.contributor.author	Poulos, PN	en
dc.contributor.author	Rigatos, GG	en
dc.contributor.author	Tzafestas, SG	en
dc.contributor.author	Koukos, AK	en
dc.date.accessioned	2014-03-01T01:16:03Z
dc.date.available	2014-03-01T01:16:03Z
dc.date.issued	2001	en
dc.identifier.issn	0952-1976	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/13895
dc.subject	genetic algorithms	en
dc.subject	multi-objective optimization	en
dc.subject	pareto optimality	en
dc.subject	constrained placements	en
dc.subject	automated warehouse management	en
dc.subject.classification	Automation & Control Systems	en
dc.subject.classification	Computer Science, Artificial Intelligence	en
dc.subject.classification	Engineering, Multidisciplinary	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.other	DESIGN	en
dc.title	A Pareto-optimal genetic algorithm for warehouse multi-objective optimization	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/S0952-1976(01)00036-7	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S0952-1976(01)00036-7	en
heal.language	English	en
heal.publicationDate	2001	en
heal.abstract	The automated warehouse management requires to fulfill objectives that are usually conflicting with each other. The decisions taken must ensure optimized usage of resources. cost reduction and better customer service. The warehouse replenishment task is a typical example of multi-objective optimization. In this paper. a genetic algorithm with a new crossover operator is developed to solve the replenishment problem. This algorithm is applied to real warehouse data and produces Pareto-optimal permutations of the stored products. A fuzzy rule-base is proposed to increase the diversity of the optimal solutions. (C) 2002 Elsevier Science Ltd. All rights reserved.	en
heal.publisher	PERGAMON-ELSEVIER SCIENCE LTD	en
heal.journalName	ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE	en
dc.identifier.doi	10.1016/S0952-1976(01)00036-7	en
dc.identifier.isi	ISI:000176197300004	en
dc.identifier.volume	14	en
dc.identifier.issue	6	en
dc.identifier.spage	737	en
dc.identifier.epage	749	en