Introduction to Genetic Algorithms
This book is designed to provide an in-depth knowledge on the basic operational features and characteristics of Genetic Algorithms. ...
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Job Scheduling Strategies for Parallel Processing (vol. # 3834)
Constitutes the refereed postproceedings of the 11th International Workshop on Job Scheduling Strategies for Parallel Processing, ...
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Knowledge-Driven Computing : Knowledge Engineering and Intelligent Computations
Knowledge-Driven Computing constitutes an emerging area of intensive research located at the intersection of Computational ...
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Large-Scale Knowledge Resources. Construction and Application : Third International Conference on Large-Scale Knowledge Resources, LKR 2008, Tokyo, Japan, March 3-5, 2008. Proceedings
Atthestartofthe21stcentury,wearenowwellonthewaytowardsaknowled- intensive society, in which knowledge plays ever more important ...
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Linear Genetic Programming
Linear Genetic Programming examines the evolution of imperative computer programs written as linear sequences of instructions. ...
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Linkage in Evolutionary Computation
The whole volume consisting of 19 chapters is divided into 3 parts: Models and Theories; Operators and Frameworks; Applications. ...
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Mechanisms, Symbols, and Models Underlying Cognition
Constitute the refereed proceedings of the First International Work-Conference on the Interplay between Natural and Artificial ...
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Meshfree Methods for Partial Differential Equations III
Meshfree methods for the numerical solution of partial differential equations are becoming more and more mainstream in many ...
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Metaheuristic Optimization via Memory and Evolution
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
Metaheuristic Procedures For Training Neural Networks provides successful implementations of metaheuristic methods for neural ...
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Metaheuristics
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
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
Metaheuristics for Hard Optimization comprises of three parts. The first part is devoted to the detailed presentation of ...
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Metaheuristics for Scheduling in Distributed Computing Environments
This volume presents meta-heuristics approaches for Grid scheduling problems. Due to the complex nature of the problem, meta-heuristics ...
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Metaheuristics for Scheduling in Industrial and Manufacturing Applications
This book deals with the application of various novel metaheuristics in scheduling. Addressing the various issues of scheduling ...
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Metaheuristics:
Metaheuristics: Progress as Real Problem Solvers is a peer-reviewed volume of eighteen current, cutting-edge papers by leading ...
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Modelling and Optimization of Biotechnological Processes
The book begins with a historical introduction to the field of bioprocess control based on artificial intelligence approaches, ...
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Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases
The present volume provides a collection of seven articles containing new and high quality research results demonstrating ...
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Multi-Objective Machine Learning
This monograph presents a selected collection of research work on multi-objective approach to machine learning, including ...
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Multiobjective Optimization : Interactive and Evolutionary Approaches
Multiobjective optimization deals with solving problems having not only one, but multiple, often conflicting, criteria. Such ...
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