TY - BOOK ID - 218249 TI - Multiobjective Problem Solving from Nature : From Concepts to Applications AU - Knowles, Joshua. AU - Corne, David. AU - Deb, Kalyanmoy. PY - 2008 SN - 128113869X 9786611138691 354072964X 3540729631 PB - Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, DB - UniCat KW - Evolutionary computation. KW - Evolutionary programming (Computer science) KW - Computer programming KW - Computation, Evolutionary KW - Neural networks (Computer science) KW - Information Technology KW - Artificial Intelligence KW - Artificial intelligence. KW - Mathematical optimization. KW - Engineering design. KW - Information theory. KW - Artificial Intelligence. KW - Optimization. KW - Engineering Design. KW - Theory of Computation. KW - Communication theory KW - Communication KW - Cybernetics KW - Design, Engineering KW - Engineering KW - Industrial design KW - Strains and stresses KW - Optimization (Mathematics) KW - Optimization techniques KW - Optimization theory KW - Systems optimization KW - Mathematical analysis KW - Maxima and minima KW - Operations research KW - Simulation methods KW - System analysis KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Electronic data processing KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Fifth generation computers KW - Neural computers KW - Design KW - Computers. KW - Automatic computers KW - Automatic data processors KW - Computer hardware KW - Computing machines (Computers) KW - Electronic calculating-machines KW - Electronic computers KW - Hardware, Computer KW - Computer systems KW - Calculators KW - Cyberspace KW - Computer science. KW - Informatics KW - Science UR - https://www.unicat.be/uniCat?func=search&query=sysid:218249 AB - Multiobjective problems involve several competing measures of solution quality, and multiobjective evolutionary algorithms (MOEAs) and multiobjective problem solving have become important topics of research in the evolutionary computation community over the past 10 years. This is an advanced text aimed at researchers and practitioners in the area of search and optimization. The book focuses on how MOEAs and related techniques can be used to solve problems, particularly in the disciplines of science and engineering. Contributions by leading researchers show how the concepts of multiobjective optimization can be used to reformulate and resolve problems in broad areas such as constrained optimization, coevolution, classification, inverse modelling and design. The book is distinguished from other texts on MOEAs in that it is not primarily about the algorithms, nor specific applications, but about the concepts and processes involved in solving problems using a multiobjective approach. Each chapter contributes to the central, deep concepts and themes of the book: evaluating the utility of the multiobjective approach; discussing alternative problem formulations; showing how problem formulation affects the search process; and examining solution selection and decision making. The book will be of benefit to researchers, practitioners and graduate students engaged with optimization-based problem solving. For multiobjective optimization experts, the book is an up-to-date account of emerging and advanced topics; for others, the book indicates how the multiobjective approach can lead to fresh insights. ER -