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- 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...
- Springer London 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. This book is unique because it is written not simply by academics but by those who personally design and produce software, hardware and art installations in artificial life,... more...
- Springer New York 2006; US$ 97.00
Evolutionary Computation for Optimization and Modeling is an introduction to evolutionary computation, selectionist algorithms that operate on populations of structures. It includes over 100 experiments and over 700 homework problems that introduce the topic with an application-oriented approach. Engineering, computer science, and applied math students... more...
- Springer 2011; US$ 129.00
This proposed text appears to be a good introduction to evolutionary computation for use in applied statistics research. The authors draw from a vast base of knowledge about the current literature in both the design of evolutionary algorithms and statistical techniques. Modern statistical research is on the threshold of solving increasingly complex... more...
- 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...
- Springer 2010; US$ 209.00
One major branch of enhancing the performance of evolutionary algorithms is the exploitation of linkage learning. This monograph aims to capture the recent progress of linkage learning, by compiling a series of focused technical chapters to keep abreast of the developments and trends in the area of linkage. In evolutionary algorithms, linkage models... more...
- Springer 2011; US$ 179.00
Evolutionary Algorithms (EAs) are population-based, stochastic search algorithms that mimic natural evolution. Due to their ability to find excellent solutions for conventionally hard and dynamic problems within acceptable time, EAs have attracted interest from many researchers and practitioners in recent years. This book "Variants of Evolutionary... more...
- Elsevier Science 2001; US$ 118.00
The use of evolution for creative problem solving is one of the most exciting and potentially significant areas in computer science today. Evolutionary computation is a way of solving problems, or generating designs, using mechanisms derived from natural evolution. This book concentrates on applying important ideas in evolutionary computation to... more...
- Springer 2008; US$ 169.00
This book presents new adaptive solution methods for multiobjective optimization problems based on parameter dependent scalarizations. With the help of sensitivity results an adaptive parameter control is developed so that high-quality approximations of the efficient set are generated. These examinations are based on a general scalarization approach... more...
- Springer 2007; US$ 84.95
Develops a unified insight on population-based optimization through Differential Evolution, one of the efficient optimization algorithms. This work includes features such as: neoteric view of Differential Evolution; unique formula of global optimization; the best known metaheuristics through the prism of Differential Evolution; and more. more...