Showing posts with label Genetic. Show all posts
Showing posts with label Genetic. Show all posts

Genetic Algorithms in Optimisation, Simulation and Modelling, (Frontiers in Artificial Intelligence and Applications , Vol 23)

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Genetic Algorithms in Optimisation, Simulation and Modelling, (Frontiers in Artificial Intelligence and Applications , Vol 23) Overview


This book examines the implementation and applications of genetic algorithms (GA) to the domain of AI.In recent years the trend towards, real world applications is fgaining ground especially in GA. The general purpose nature of GA is examined from an interdiciplinary point of view. Despite the differences that may exist in between representations across domain problems the commonality of in the design of GA is upheld. This work provides an overview of the current developments in Europe a section is devoted to the progrmamming of Parallel Genetic Algorithms (including GAME) and a section on Optimisation and Complex Modelling. Readers: researchers in AI, mathematics and computing.


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Genetic Algorithms and Evolution Strategy in Engineering and Computer Science: Recent Advances and Industrial Applications

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Genetic Algorithms and Evolution Strategy in Engineering and Computer Science: Recent Advances and Industrial Applications Overview


A collection of state-of-the-art lectures by experts in the field of theoretical, numerical and applied aspects of genetic algorithms for the computational treatment of continuous, discrete and combinatorial optimization problems. The theory presented in this book has numerous applications in fluid dynamics, structure mechanics, electromagnetic, automation control, resource optimization, image processing and economics


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