Handbook of Bioinspired Algorithms and Applications
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Ant Colony Optimization Algorithm
autonomic computing systems
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Category=UMB
Category=UNF
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cellular automata applications
Cellular Automaton
Data Set
DNA Computing
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Evolutionary Algorithms
evolutionary algorithms for engineering design
Execution Time
Finite Difference Method
Finite Element Inverse Analysis
Fitness Function
GAs
genetic programming techniques
Hidden Layer
Hybrid Metaheuristics
Island Model
Local Search
Max Min Ant System
metaheuristic optimisation
Multiple Valued Logic
neural network models
Parallel Hyperplanes
Pareto Front
Particle Swarm Optimization
Pheromone Matrix
PSA
PSO Algorithm
swarm intelligence methods
Tabu Search
Product details
- ISBN 9781584884750
- Weight: 1460g
- Dimensions: 178 x 254mm
- Publication Date: 29 Sep 2005
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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The mystique of biologically inspired (or bioinspired) paradigms is their ability to describe and solve complex relationships from intrinsically very simple initial conditions and with little or no knowledge of the search space. Edited by two prominent, well-respected researchers, the Handbook of Bioinspired Algorithms and Applications reveals the connections between bioinspired techniques and the development of solutions to problems that arise in diverse problem domains.
A repository of the theory and fundamentals as well as a manual for practical implementation, this authoritative handbook provides broad coverage in a single source along with numerous references to the available literature for more in-depth information. The book's two sections serve to balance coverage of theory and practical applications. The first section explains the fundamentals of techniques, such as evolutionary algorithms, swarm intelligence, cellular automata, and others. Detailed examples and case studies in the second section illustrate how to apply the theory in actually developing solutions to a particular problem based on a bioinspired technique.
Emphasizing the importance of understanding and harnessing the robust capabilities of bioinspired techniques for solving computationally intractable optimizations and decision-making applications, the Handbook of Bioinspired Algorithms and Applications is an absolute must-read for anyone who is serious about advancing the next generation of computing.
Stephan Olariu, Albert Y. Zomaya
