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

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

Abstract

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

Original language	American English
Title of host publication	Computational Intelligence in Optimization: Applications and Implementations
Publisher	Springer
Number of pages	315
ISBN (Electronic)	978-3-642-12774-8
ISBN (Print)	978-3-642-12774-8
Publication status	Published - 1 Jan 2010

Cite this

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Computation in Complex Environments

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