Multi-Objective Memetic Algorithms, Chi-Keong Goh; Yew-Soon Ong; Kay Chen Tan
Автор: Ferrante Neri; Carlos Cotta; Pablo Moscato Название: Handbook of Memetic Algorithms ISBN: 3642269427 ISBN-13(EAN): 9783642269424 Издательство: Springer Рейтинг: Цена: 23508.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Each class of optimization problems, such as constrained optimization, multi-objective optimization, continuous vs combinatorial problems, uncertainties, are analysed separately and, for each problem, memetic recipes for tackling the difficulties are given with some successful examples.
Описание: This book covers the most recent advances in the field of evolutionary multiobjective optimization. With the aim of drawing the attention of up-and coming scientists towards exciting prospects at the forefront of computational intelligence, the authors have made an effort to ensure that the ideas conveyed herein are accessible to the widest audience. The book begins with a summary of the basic concepts in multi-objective optimization. This is followed by brief discussions on various algorithms that have been proposed over the years for solving such problems, ranging from classical (mathematical) approaches to sophisticated evolutionary ones that are capable of seamlessly tackling practical challenges such as non-convexity, multi-modality, the presence of multiple constraints, etc. Thereafter, some of the key emerging aspects that are likely to shape future research directions in the field are presented. These include: optimization in dynamic environments, multi-objective bilevel programming, handling high dimensionality under many objectives, and evolutionary multitasking. In addition to theory and methodology, this book describes several real-world applications from various domains, which will expose the readers to the versatility of evolutionary multi-objective optimization.
Автор: Carlos Coello Coello; Clarisse Dhaenens; Laetitia Название: Advances in Multi-Objective Nature Inspired Computing ISBN: 364211217X ISBN-13(EAN): 9783642112171 Издательство: Springer Рейтинг: Цена: 22203.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Recent advances in multi-objective, nature-inspired computing is presented in this comprehensive reference. This collection provides the non-expert with an overview of the field, and aims to motivate researchers to contribute to the field.
Автор: Carlos Coello Coello; Satchidananda Dehuri; Susmit Название: Swarm Intelligence for Multi-objective Problems in Data Mining ISBN: 3642260535 ISBN-13(EAN): 9783642260537 Издательство: Springer Рейтинг: Цена: 29209.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The purpose of this book is to collect contributions that are at the intersection of multi-objective optimization, swarm intelligence (specifically, particle swarm optimization and ant colony optimization) and data mining.
Автор: Carlos Coello Coello; Satchidananda Dehuri; Susmit Название: Swarm Intelligence for Multi-objective Problems in Data Mining ISBN: 3642036244 ISBN-13(EAN): 9783642036248 Издательство: Springer Рейтинг: Цена: 29209.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The purpose of this book is to collect contributions that are at the intersection of multi-objective optimization, swarm intelligence (specifically, particle swarm optimization and ant colony optimization) and data mining.
Автор: Leandro dos Santos Coelho Название: Multi-Objective Swarm Intelligent Systems ISBN: 3642051642 ISBN-13(EAN): 9783642051647 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers the latest in multi-objective swarm intelligence and cooperative behavior. It contains innovative and intriguing applications as well as additions to the methodology and theory of genetic programming.
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