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Evolutionary programming

Most popular at the top

  • Analyzing Evolutionary Algorithmsby Thomas Jansen

    Springer Berlin Heidelberg 2013; US$ 88.58

    Evolutionary algorithms is a class of randomized heuristics inspired by natural evolution. They are applied in many different contexts, in particular in optimization, and analysis of such algorithms has seen tremendous advances in recent years.   In this book the author provides an introduction to the methods used to analyze evolutionary algorithms... more...

  • Fundamentals of Natural Computingby Leandro Nunes de Castro

    CRC Press 2006; US$ 109.95

    Natural computing brings together nature and computing to develop new computational tools for problem solving; to synthesize natural patterns and behaviors in computers; and to potentially design novel types of computers. Fundamentals of Natural Computing: Basic Concepts, Algorithms, and Applications presents a wide-ranging survey of novel techniques... more...

  • Bayesian Inference in the Social Sciencesby Ivan Jeliazkov; Xin-She Yang

    Wiley 2014; US$ 129.00 US$ 116.10

    Presents new models, methods, and techniques and considers important real-world applications in political science, sociology, economics, marketing, and finance Emphasizing interdisciplinary coverage, Bayesian Inference in the Social Sciences builds upon the recent growth in Bayesian methodology and examines an array of topics in model formulation,... more...

  • Frontiers of Evolutionary Computationby Anil Menon

    Springer US 2006; US$ 141.73

    Frontiers of Evolutionary Computation brings together eleven contributions by international leading researchers discussing what significant issues still remain unresolved in the field of Evolutionary Computation (EC). They explore such topics as the role of building blocks, the balancing of exploration with exploitation, the modeling of EC algorithms,... more...

  • Evolutionary Computation for Modeling and Optimizationby Daniel Ashlock

    Springer New York 2006; US$ 76.42

    Evolutionary Computation for Optimization and Modeling is an introduction to evolutionary computation, a field which includes genetic algorithms, evolutionary programming, evolution strategies, and genetic programming. The text is a survey of some application of evolutionary algorithms. It introduces mutation, crossover, design issues... more...

  • Handbook of Nature-Inspired and Innovative Computingby Albert Y. Zomaya

    Springer US 2006; US$ 165.36

    As computing devices proliferate, demand increases for an understanding of emerging computing paradigms and models based on natural phenomena. Neural networks, evolution-based models, quantum computing, and DNA-based computing and simulations are all a necessary part of modern computing analysis and systems development. Vast literature exists on these... more...

  • Engineering Self-Organising Systemsby Sven Brueckner; Salima Hassas; Mark Jelasity; Daniel Yamins

    Springer Berlin Heidelberg 2007; US$ 67.32

    This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Engineering Self-Organising Applications, ESOA 2006, held in Hakodate, Japan in May 2006. This was an associated event of AAMAS 2006, the 5th International Joint Conference on Autonomous Agents and Multi-Agent Systems. The seven full papers presented... more...

  • Evolutionary Computation in Combinatorial Optimizationby Carlos Cotta; Jano van Hemert

    Springer Berlin Heidelberg 2007; US$ 70.86

    This book constitutes the refereed proceedings of the 7th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2007, held in Valencia, Spain in April 2007. The 21 revised full papers cover evolutionary algorithms as well as various other metaheuristics, like scatter search, tabu search, memetic algorithms, variable... more...

  • Information Processing with Evolutionary Algorithmsby Manuel Grana; Richard J. Duro; Alicia d'Anjou; Paul P. Wang

    Springer London 2006; US$ 153.54

    The last decade of the 20th century has witnessed a surge of interest in num- ical, computation-intensive approaches to information processing. The lines that draw the boundaries among statistics, optimization, arti cial intelligence and information processing are disappearing, and it is not uncommon to nd well-founded and sophisticated mathematical... more...

  • Differential Evolutionby Kenneth Price; Rainer M. Storn; Jouni A. Lampinen

    Springer Berlin Heidelberg 2006; US$ 88.58

    Problems demanding globally optimal solutions are ubiquitous, yet many are intractable when they involve constrained functions having many local optima and interacting, mixed-type variables. The differential evolution (DE) algorithm is a practical approach to global numerical optimization which is easy to understand, simple to implement, reliable,... more...