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This book integrates two areas of computer science, namely data mining and evolutionary algorithms (EAs). In essence, data mining consists of extracti...Savoir plus
The overall structure of this new edition is three-tier: Part I presents the basics, Part II is concerned with methodological issues, and Part III dis...Savoir plus
Evolutionary algorithms, such as evolution strategies, genetic algorithms, or evolutionary programming, have found broad acceptance in the last ten ye...Savoir plus
This open access book provides a unique and state-of-the-art view on DNA nanotechnology with an eye toward future developments. Intended as a tribute ...Savoir plus
This introduction to the field of hyper-heuristics presents the required foundations and tools and illustrates some of their applications. The authors...Savoir plus
This book explains the theory and application of evolutionary computer vision, a new paradigm where challenging vision problems can be approached usin...Savoir plus
Evolutionary algorithms is a class of randomized heuristics inspired by natural evolution. They are applied in many different contexts, in particular ...Savoir plus
This book delivers the state of the art in deep learning (DL) methods hybridized with evolutionary computation (EC). Over the last decade, DL has dram...Savoir plus
The authors stress the relative simplicity, efficiency, flexibility of use, and suitability of various approaches used to solve difficult optimization...Savoir plus
Bioinspired computation methods such as evolutionary algorithms and ant colony optimization are being applied successfully to complex engineering prob...Savoir plus
Despite decades of work in evolutionary algorithms, there remains an uncertainty as to the relative benefits and detriments of using recombination or ...Savoir plus
Evolutionary algorithms (EAs) is now a mature problem-solving family of heuristics that has found its way into many important real-life problems and i...Savoir plus
Metaheuristics, and evolutionary algorithms in particular, are known to provide efficient, adaptable solutions for many real-world problems, but the o...Savoir plus
This book presents the latest trends and developments in multimodal optimization and niching techniques. Most existing optimization methods are design...Savoir plus
Evolution strategies have more than 50 years of history in the field of evolutionary computation. Since the early 1990s, many algorithmic variations o...Savoir plus
This textbook provides the reader with an essential understanding of computational methods for intelligent systems. These are defined as systems that ...Savoir plus
The new experimentalism, a development in the modern philosophy of science, considers that an experiment can have a life of its own. This book introdu...Savoir plus
This edited book reports on recent developments in the theory of evolutionary computation, or more generally the domain of randomized search heuristic...Savoir plus
This book introduces some key problems in bioinformatics, discusses the models used to formally describe these problems, and analyzes the algorithmic ...Savoir plus
During the first week of September 1999, the Second EvoNet Summer School on Theoretical Aspects of Evolutionary Computing was held at the Middelheim c...Savoir plus
This book explains classic routing and transportation problems and solutions, before offering insights based on successful real-world solutions. The c...Savoir plus
Focusing on comprehensive comparisons of the performance of stochastic optimization algorithms, this book provides an overview of the current approach...Savoir plus
This edited book reports on recent developments in the theory of evolutionary computation, or more generally the domain of randomized search heuristic...Savoir plus
This book covers the basic theory, practical details and advanced research of the implementation of evolutionary methods on physical substrates. Most ...Savoir plus