This book presents new, alternative metaheuristic developments that have proved to be effective i...
This book compares the performance of various evolutionary computation (EC) techniques when they ...
This book compares the performance of various evolutionary computation (EC) techniques when they ...
This book bridges the gap between Soft Computing techniques and their applications to complex eng...
This book discusses the use of efficient metaheuristic algorithms to solve diverse power system p...
This book is primarily intended for undergraduate and postgraduate students of Science, Electrica...
This book explores new alternative metaheuristic developments that have proved to be effective in...
This book bridges the gap between Soft Computing techniques and their applications to complex eng...
The goal of this book is topresent advances that discuss alternative Evolutionary Computation (EC...
This book presents a study of the use of optimization algorithms in complex image processing prob...
This book presents the use of efficientEvolutionary Computation (EC) algorithms for solving diver...
This book includes two objectives. The first goal is to present advances and developments which ...
This book explores new alternative metaheuristic developments that have proved to be effective in...
This book presents a study of the use of optimization algorithms in complex image processing prob...
The goal of this book is topresent advances that discuss alternative Evolutionary Computation (EC...
This book presents the use of efficientEvolutionary Computation (EC) algorithms for solving diver...
This book presents new, alternative metaheuristic developments that have proved to be effective i...
This book presents advances in alternative swarm development that have proved to be effective in...
This book is primarily intended for undergraduate and postgraduate students of Science, Electrica...
This book includes two objectives. The first goal is to present advances and developments which ...
This book presents a comparative perspective of current metaheuristic developments, which have pr...
Metaheuristic algorithms are considered as generic optimization tools that can solve very complex...
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This textbook provides readers a comprehensive introduction to numerical methods, using MATLAB®.T...
Recently, novel metaheuristic techniques have emerged in response to the limitations of conventio...
This book presents a comparative perspective of current metaheuristic developments, which have pr...
This book serves as a textbook for students and instructors of image processing, covering the the...
This book serves as a textbook for students and instructors of image processing, covering the the...
This book encompasses three distinct yet interconnected objectives. Firstly, it aims to present a...
This textbook provides readers with the knowledge and practical skills necessary to understand, d...
This textbook provides readers a comprehensive introduction to numerical methods, using MATLAB®.T...
This textbook provides readers with a comprehensive exploration of optimization techniques in ind...
Recently, novel metaheuristic techniques have emerged in response to the limitations of conventio...
This book is to explore the development of metaheuristic algorithms over the past decade, focusin...
This book examines a series of strategies designed to enhance metaheuristic algorithms, focusing ...
The main purpose of this book is to provide a unified view of the most popular metaheuristic meth...
Learn to bridge the gap between machine learning and metaheuristic methods to solve problems in o...