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Evolutionary Algorithms in Engineering and Computer Science: Recent Advances in Genetic Algorithms, Evolution Strategies, Evolutionary Programming, Genetic Programming and Industrial Applications by K. Miettinen
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Evolutionary Algorithms in Engineering and Computer Science edited by K. Miettinen, Jyvaskyla University, Finland M. M. Makela, Jyvaskyla University, Finland P. Neittaanmaki, University of Jyvaskyla, Finland J. Priaux, Dassault Aviation,…
Evolutionary Algorithms in Engineering and Computer Science synopsis
Evolutionary Algorithms in Engineering and Computer Science edited by K. Miettinen, Jyvaskyla University, Finland M.
M. Makela, Jyvaskyla University, Finland P.
Neittaanmaki, University of Jyvaskyla, Finland J. Priaux, Dassault Aviation, France What is evolutionary computing? Based on the genetic message encoded in DNA, and digital algorithms inspired by Darwinian evolution through natural selection, evolutionary computing is one of the most important information technologies of our time.
Evolutionary algorithms include all adaptive and computational models of natural evolutionary systems - genetic algorithms, evolutionary strategies, evolutionary programming and genetic programming. In addition, it works well in the search for global solutions to optimization problems, allowing the production of powerful and easy-to-implement optimization programs. Furthermore, these algorithms can easily be hybridized with traditional optimization techniques.
This book presents recent lectures by academic experts and international experts in the field of evolutionary computing. It links artificial intelligence and scientific computing with particular emphasis on the real problems it faces in application-oriented sectors, such as aerospace, electronics, communications, energy and economics.
This fast-growing area, with its deep understanding and evaluation of complex problems in current practice, provides a modern and effective engineering tool. This book will therefore be of great importance and value to all graduate students, research scientists and practitioners who face complex complexity problems..
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