Computation in Complex Environments

C. Pieters; Y. Tenne; C. Goh

Computation in Complex Environments

C. Pieters, Y. Tenne (Editor), C. Goh (Editor)

University of Humanistic Studies

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Samenvatting

This contribution for Computational Intelligence in Expensive Optimization Problems aims to draw attention to the complexity of environments as an integral part of optimization. Railway timetable problems are introduced as an example of a complex environment, and so-called symbiotic networks will be discussed in greater detail as a novel way of optimization of complex environments through computational intelligence. Putinanotherway,organizedcomplexitymovesawayfromtraditional machines, whichhavesupremeperformancefortheirintendedtasks,butalsorequireverysta- bleandpredictableenvironments.Ratheralineisdrawntowardslivingorganisms, whichareveryrobustandarebetteradjustedforcontingentenvironmentsthanma- chinesare.Alongthisgradient,‘robustmachines’formaninterestingﬁeldofin- quiryforoptimizationproblems.RailwayTimetableProblems(RTP)canbeseenas abenchmarkforsuchrobustmachines(oralgorithms). Thesecondconcept,‘symbioticnetworks’,isintroducedasanoptimizationstrat- egythatcan,tosomeextent,optimizeinsuchcomplexenvironments.RTPhasbeen

Originele taal-2	American English
Titel	Computational Intelligence in Optimization: Applications and Implementations
Uitgeverij	Springer
Aantal pagina's	315
ISBN van elektronische versie	978-3-642-12774-8
ISBN van geprinte versie	978-3-642-12774-8
Status	Published - 1 jan. 2010

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