Evolutionary Algorithms in Engineering and Computer Science

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Evolutionary Algorithms in Engineering and Computer Science Editedby K. Miettinen, University of Jyväskylä, Finland M. M.Mäkelä, University of Jyväskylä, Finland P.Neittaanmäki, University of Jyväskylä, Finland J.Périaux, Dassault Aviation, France What is EvolutionaryComputing? Based on the genetic message encoded in DNA, anddigitalized algorithms inspired by the Darwinian framework ofevolution by natural selection, Evolutionary Computing is one ofthe most important information technologies of our times.Evolutionary algorithms encompass all adaptive and computationalmodels of natural evolutionary systems - genetic algorithms,evolution strategies, evolutionary programming and geneticprogramming. In addition, they work well in the search for globalsolutions to optimization problems, allowing the production ofoptimization software that is robust and easy to implement.Furthermore, these algorithms can easily be hybridized withtraditional optimization techniques. This book presentsstate-of-the-art lectures delivered by international academic andindustrial experts in the field of evolutionary computing. Itbridges artificial intelligence and scientific computing with aparticular emphasis on real-life problems encountered inapplication-oriented sectors, such as aerospace, electronics,telecommunications, energy and economics. This rapidly growingfield, with its deep understanding and assesssment of complexproblems in current practice, provides an effective, modernengineering tool. This book will therefore be of significantinterest and value to all postgraduates, research scientists andpractitioners facing complex optimization problems.

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Kaisa Miettinen

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