Design of a novel hybrid optimization algorithm

Koulocheris, DV; Dertimanis, VK

dc.contributor.author	Koulocheris, DV	en
dc.contributor.author	Dertimanis, VK	en
dc.date.accessioned	2014-03-01T02:46:06Z
dc.date.available	2014-03-01T02:46:06Z
dc.date.issued	2009	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32544
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-74549203866&partnerID=40&md5=fe313660f6d14f2e03d952a25ad10375	en
dc.relation.uri	http://www.informatik.uni-trier.de/~ley/db/conf/icinco/icinco2009-icso.html#KoulocherisD09	en
dc.subject	Deterministic mutation	en
dc.subject	Evolution strategy	en
dc.subject	Hybrid optimization	en
dc.subject	Line-search	en
dc.subject	Trust-region	en
dc.subject	Vehicles	en
dc.subject.other	Deterministic methods	en
dc.subject.other	Deterministic optimization	en
dc.subject.other	Evolution strategies	en
dc.subject.other	Hybrid optimization	en
dc.subject.other	Hybrid optimization algorithm	en
dc.subject.other	Mutation operators	en
dc.subject.other	Novel algorithm	en
dc.subject.other	Rastrigin	en
dc.subject.other	Structural optimization problems	en
dc.subject.other	Trust region	en
dc.subject.other	Mathematical operators	en
dc.subject.other	Robotics	en
dc.subject.other	Structural design	en
dc.subject.other	Structural optimization	en
dc.subject.other	Vehicle suspensions	en
dc.subject.other	Evolutionary algorithms	en
dc.title	Design of a novel hybrid optimization algorithm	en
heal.type	conferenceItem	en
heal.publicationDate	2009	en
heal.abstract	The interrelation of stochastic and deterministic optimization algorithms, as well as the exploitation of the advantages that each counterpart presents simultaneously, is studied in this paper. To this, a hybrid optimization algorithm is developed, which consists of a conventional Evolution Strategy that maintains its recombination and selection phases unaltered, while its mutation operator is replaced by well-known deterministic methods, such as line-search and/or trust-region. The alteration results in superior performance of the novel algorithm, compared to other instances of Evolutionary Algorithms, as exploited out in tests using Griewangk and Rastrigin functions. The proposed algorithm is further examined through its implementation to the structural optimization problem of a full-car suspension model, with satisfying results.	en
heal.journalName	ICINCO 2009 - 6th International Conference on Informatics in Control, Automation and Robotics, Proceedings	en
dc.identifier.volume	1 ICSO	en
dc.identifier.spage	129	en
dc.identifier.epage	135	en