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Evolutionary programming

Most popular at the top

  • Artificial Life Models in Softwareby Andrew Adamatzky; Maciej Komosinski

    Springer 2006; US$ 89.95

    Artificial Life Models on Software' introduces software tools, environments and realities dealing with creation, imitation and analysis of artefactual, virtual and living forms. It presents a nearly exhaustive overview and original analysis of non-profit software packages of simulated and would-be worlds. more...

  • Artificial Lifeby Andrew Adamatzky

    Emerald Group Publishing Limited 2003; US$ 199.00

    This Special Double Issue on Artificial Life, compiled by Dr. Andrew Adamatzky of the Faculty of Computing, Engineering and Mathematical Sciences of the University of the West of England, UK, contains contributions by some of the most outstanding scientists, artists and academicians who are engaged in research and development of artificial life, complex... more...

  • Evolutionary Computation for Modeling and Optimizationby Daniel Ashlock

    Springer-Verlag New York Inc 2006; US$ 97.00

    Provides an introduction to evolutionary computation, selectionist algorithms that operate on populations of structures. This work includes over 100 experiments and over 700 homework problems that introduce the topic with an application-oriented approach. It is useful for engineering of computer science application classes. more...

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

    Springer-Verlag New York Inc 2006; US$ 189.00

    As computing devices proliferate, demand increases for an understanding of emerging computing paradigms and models based on natural phenomena. This handbook explores the connection between nature-inspired and traditional computational paradigms. It presents computing paradigms and models based on natural phenomena. more...

  • Field-Based Coordination for Pervasive Multiagent Systemsby Toru Ishida; Nicholas Jennings; Katia Sycara

    Springer 2006; US$ 179.00

    Software systems involve autonomous and distributed software components that have to execute and interact in open and dynamic environments. This work proposes an interaction model inspired by the way masses and particles in the universe move and self-organize, according to information represented by gravitational and electromagnetic fields. more...

  • Spatially Structured Evolutionary Algorithmsby Marco Tomassini

    Springer-Verlag Berlin and Heidelberg GmbH & Co. KG 2006; US$ 79.95

    Evolutionary algorithms (EAs) are accepted as a mature problem-solving family of heuristics that found its way into important real-life problems and into scientific research. This book describes the spatially structured EAs by using graph concepts as a unifying theme. It presents the models, their analysis, and their empirical behavior. more...

  • Information Processing with Evolutionary Algorithmsby Manuel Grana; Richard Duro; Alicia d'Anjou

    Springer 2006; US$ 159.00

    Based on a selection of papers presented at the Frontiers on Evolutionary Algorithms Conference within JCIS 2002, this volume offers an insight into the wide variety of problems tackled with evolutionary approximations and of the diversity of evolutionary algorithms themselves. more...

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

    Springer-Verlag Berlin and Heidelberg GmbH & Co. KG 2006; US$ 119.00

    Containing illustrations, computer code, insights, and advice, this volume explores differential evolution (DE) in principle and practice. It is aimed at professionals and students wanting an evolutionary perspective on global numerical optimization. A companion CD includes DE-based optimization software in several programming languages. more...

  • Experimental Research in Evolutionary Computationby Thomas Bartz-Beielstein

    Springer-Verlag Berlin and Heidelberg GmbH & Co. KG 2006; US$ 119.00

    Introduces the new experimentalism in evolutionary computation, providing tools to understand algorithms and programs and their interaction with optimization problems. This book bridges the gap between theory and experiment by providing a self-contained experimental methodology and many examples. more...

  • Adaptive Learning of Polynomial Networksby Nikolay Nikolaev; Hitoshi Iba

    Springer-Verlag New York Inc 2006; US$ 149.00

    Delivers theoretical and practical knowledge for developing algorithms that infer linear and non-linear multivariate models, providing a methodology for inductive learning of Polynomial Neural Network models (PNN) from data. This work emphasizes an organized identification process by which to discover models that generalize and predict well. more...