000			01787nam a2200229Ia 4500
003			NULRC
005			20250520102834.0
008			250520s9999 xx 000 0 und d
020			_a9780470293324
040			_cNULRC
050			_aQA 76.9 .O68 2009
245		0	_aOptimization techniques for solving complex problems / _cedited by Enrique Alba, Christian Blum, Pedro Isasi [and 2 others].
260			_aHoboken, New Jersey : _bWiley, _cc2009
300			_axxi, 476 pages : _billustrations ; _c24 cm.
365			_bPHP2139.83
504			_aIncludes bibliographical references and index.
505			_aOPTIMIZATION 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.
520			_aSolving 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.
650			_aCOMPUTER SCIENCE -- MATHEMATICS
700			_aAlba, Enrique ;Blum, Christian;Isasi, Pedro;Leon, Coromoto;Gomez, Juan Antonio _eeditor;co-editor;co-editor;co-editor;co-editor
942			_2lcc _cBK
999			_c16631 _d16631