Linear Genetic Programming examines the evolution of imperative computer programs written as linear sequences of instructions. ...
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The whole volume consisting of 19 chapters is divided into 3 parts: Models and Theories; Operators and Frameworks; Applications. ...
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The 96 revised full papers presented together with 2 invited lectures were carefully reviewed and selected from 363 submissions. ...
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Constitute the refereed proceedings of the First International Work-Conference on the Interplay between Natural and Artificial ...
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Meshfree methods for the numerical solution of partial differential equations are becoming more and more mainstream in many ...
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Tabu Search (TS) and, more recently, Scatter Search (SS) have proved highly effective in solving a wide range of optimization ...
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Metaheuristic Procedures For Training Neural Networks provides successful implementations of metaheuristic methods for neural ...
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The aim of METAHEURISTICS: Progress in Complex Systems Optimization is to provide several different kinds of information: ...
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Metaheuristics for Hard Optimization comprises of three parts. The first part is devoted to the detailed presentation of ...
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Metaheuristics for Hard Optimization comprises of three parts. The first part is devoted to the detailed presentation of ...
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This volume presents meta-heuristics approaches for Grid scheduling problems. Due to the complex nature of the problem, meta-heuristics ...
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This book deals with the application of various novel metaheuristics in scheduling. Addressing the various issues of scheduling ...
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Metaheuristics: Progress as Real Problem Solvers is a peer-reviewed volume of eighteen current, cutting-edge papers by leading ...
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The book begins with a historical introduction to the field of bioprocess control based on artificial intelligence approaches, ...
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The present volume provides a collection of seven articles containing new and high quality research results demonstrating ...
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This monograph presents a selected collection of research work on multi-objective approach to machine learning, including ...
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Multiobjective optimization deals with solving problems having not only one, but multiple, often conflicting, criteria. Such ...
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The aim for NICSO 2007 was to provide a forum were the latest ideas and state of the art research related to cooperative ...
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The second of a two-volume set, this book constitutes the refereed proceedings of the Second International Work-Conference ...
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Network Models and Optimization: Multiobjective Genetic Algorithm Approach extensively covers algorithms and applications, ...
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