OPTIMIZATION TECHNIQUES FOR SOLVING COMPLEX PROBLEMS; CONTENTS; CONTRIBUTORS; FOREWORD; PREFACE; PART I METHODOLOGIES FOR COMPLEX PROBLEM SOLVING; 1 Generating Automatic Projections by Means of Genetic Programming; 2 Neural Lazy Local Learning; 3 Optimization Using Genetic Algorithms with Micropopulations; 4 Analyzing Parallel Cellular Genetic Algorithms; 5 Evaluating New Advanced Multiobjective Metaheuristics; 6 Canonical Metaheuristics for Dynamic Optimization Problems; 7 Solving Constrained Optimization Problems with Hybrid Evolutionary Algorithms.
0
SUMMARY OR ABSTRACT
Text of Note
Solving Complex Problems addresses real problems and the modern optimization techniques used to solve them. Thorough examples illustrate the applications themselves, as well as the actual performance of the algorithms. Application areas include computer science, engineering, transportation, telecommunications, and bioinformatics, making the book especially useful to practitioners in those areas.
ACQUISITION INFORMATION NOTE
Source for Acquisition/Subscription Address
Wiley InterScience
Source for Acquisition/Subscription Address
OverDrive, Inc.
Stock Number
10.1002/9780470411353
Stock Number
E421FD41-4A77-4073-AEA6-C2D782C74A44
OTHER EDITION IN ANOTHER MEDIUM
Title
Optimization techniques for solving complex problems.