{"product_id":"evolutionary-algorithms-in-engineering-and-computer-science-isbn-9780471999027","title":"Evolutionary Algorithms in Engineering and Computer Science","description":"Evolutionary Algorithms in Engineering and Computer Science Edited by 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 Evolutionary Computing? Based on the genetic message encoded in DNA, and digitalized algorithms inspired by the Darwinian framework of evolution by natural selection, Evolutionary Computing is one of the most important information technologies of our times. Evolutionary algorithms encompass all adaptive and computational models of natural evolutionary systems - genetic algorithms, evolution strategies, evolutionary programming and genetic programming. In addition, they work well in the search for global solutions to optimization problems, allowing the production of optimization software that is robust and easy to implement. Furthermore, these algorithms can easily be hybridized with traditional optimization techniques. This book presents state-of-the-art lectures delivered by international academic and industrial experts in the field of evolutionary computing. It bridges artificial intelligence and scientific computing with a particular emphasis on real-life problems encountered in application-oriented sectors, such as aerospace, electronics, telecommunications, energy and economics. This rapidly growing field, with its deep understanding and assesssment of complex problems in current practice, provides an effective, modern engineering tool. This book will therefore be of significant interest and value to all postgraduates, research scientists and practitioners facing complex optimization problems.Evolutionäre Algorithmen sind Methoden künstlicher Intelligenz, die die Natur imitieren und für ihre Robustheit bei der Durchsuchung großer Räume und bei der Auffindung von Optima nahe des globalen Optimums bekannt sind. Dieser Band enthält die Vortragsmanuskripte des dritten EUROGEN-Kurses (Jyväskylä, Finnland, Mai\/Juni 1999), in dessen Mittelpunkt die Anwendung des evolutionären Computings auf reale Probleme der Ingenieurtechnik steht. (05\/99)\u003cbr\u003e  METHODOLOGICAL ASPECTS.  \u003cp\u003eUsing Genetic Algorithms for Optimization: Technology Transfer in Action (J. Haataja).\u003c\/p\u003e \u003cp\u003eAn Introduction to Evolutionary Computation and Some Applications (D. Fogel).\u003c\/p\u003e \u003cp\u003eEvolutionary Computation: Recent Developments and Open Issues (K. De Jong).\u003c\/p\u003e \u003cp\u003eSome Recent Important Foundational Results in Evolutionary Computation (D. Fogel). Evolutionary Algorithms for Engineering Applications (Z. Michalewicz, \u003ci\u003eet al.\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eEmbedded Path Tracing and Neighbourhood Search Techniques (C. Reeves T. Yamada). Parallel and Distributed Evolutionary Algorithms (M. Tomassini).\u003c\/p\u003e \u003cp\u003eEvolutionary Multi-Criterion Optimization (K. Deb).\u003c\/p\u003e \u003cp\u003eACO Algorithms for the Traveling Salesman Problem (T. Stützle M. Dorigo).\u003c\/p\u003e \u003cp\u003eGenetic Programming: Turing's Third Way to Achieve Machine Intelligence (J. Koza, \u003ci\u003eet al.\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eAutomatic Synthesis of the Topology and Sizing for Analog Electrical Circuits Using Genetic Programming (F. Bennett, \u003ci\u003eet al.\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eAPPLICATION-ORIENTED APPROACHES.\u003c\/p\u003e \u003cp\u003eMultidisciplinary Hybrid Constrained GA Optimization (G. Dulikravich, \u003ci\u003eet al.\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eGenetic Algorithm as a Tool for Solving Electrical Engineering Problems (M. Rudnicki, \u003ci\u003eet al.\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eGenetic Algorithms in Shape Optimization: Finite and Boundary Element Applications (M. Cerrolaza W. Annicchiarico).\u003c\/p\u003e \u003cp\u003eGenetic Algorithms and Fractals (E. Lutton).\u003c\/p\u003e \u003cp\u003eThree Evolutionary Approaches to Clustering (H. Luchian).\u003c\/p\u003e \u003cp\u003eINDUSTRIAL APPLICATIONS.\u003c\/p\u003e \u003cp\u003eEvolutionary Algorithms Applied to Academic and Industrial Test Cases (T. Bäck, \u003ci\u003eet al.\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eOptimization of an Active Noise Control System Inside an Aircraft, Based on the Simultaneous Optimal Positioning of Microphones and Speakers, with the Use of a Genetic Algorithm (Z. Diamantis, \u003ci\u003eet al.\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eGenerator Scheduling in Power Systems by Genetic Algorithm and Expert System (B. Galvan, \u003ci\u003eet al.\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eEfficient Partitioning Methods for 3-D Unstructured Grids Using Genetic Algorithms (A. Giotis, \u003ci\u003eet al.\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eGenetic Algorithms in Shape Optimization of a Paper Machine Headbox (J. Hämäläinen, \u003ci\u003eet al.\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eA Parallel Genetic Algorithm for Multi-Objective Optimization in Computational Fluid Dynamics (N. Marco, \u003ci\u003eet al.\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eApplication of a Multi Objective Genetic Algorithm and a Neural Network to the Optimisation of Foundry Processes (G. Meneghetti, \u003ci\u003eet al.\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eCircuit Partitioning Using Evolution Algorithms (J. Montiel-Nelson, \u003ci\u003eet al.\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e\u003cb\u003eK. Miettinen\u003c\/b\u003e is the editor of \u003ci\u003eEvolutionary Algorithms in Engineering and Computer Science: Recent Advances in Genetic Algorithms, Evolution Strategies, Evolutionary Programming, Genetic Programming and Industrial Applications\u003c\/i\u003e, published by Wiley.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePekka Neittaanmäki\u003c\/b\u003e is the editor of \u003ci\u003eEvolutionary Algorithms in Engineering and Computer Science: Recent Advances in Genetic Algorithms, Evolution Strategies, Evolutionary Programming, Genetic Programming and Industrial Applications\u003c\/i\u003e, published by Wiley.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eM. M. Mäkelä\u003c\/b\u003e is the editor of \u003ci\u003eEvolutionary Algorithms in Engineering and Computer Science: Recent Advances in Genetic Algorithms, Evolution Strategies, Evolutionary Programming, Genetic Programming and Industrial Applications\u003c\/i\u003e, published by Wiley.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eJacques Périaux\u003c\/b\u003e is the editor of \u003ci\u003eEvolutionary Algorithms in Engineering and Computer Science: Recent Advances in Genetic Algorithms, Evolution Strategies, Evolutionary Programming, Genetic Programming and Industrial Applications\u003c\/i\u003e, published by Wiley.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989179187429,"sku":"NP9780471999027","price":313.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780471999027.jpg?v=1761783108","url":"https:\/\/k12savings.com\/es\/products\/evolutionary-algorithms-in-engineering-and-computer-science-isbn-9780471999027","provider":"K12savings","version":"1.0","type":"link"}