Evolutionary Algorithms and Intelligent Tools in Engineering Optimization.
Evolutionary algorithms and intelligent tools in engineering optimization.
Ed. by William Annicchiarico et al.
Theory and engineering applications of computational methods
Evolutionary algorithms, based on Darwin's rules of evolution and principles of artificial intelligence, can solve design and optimization problems not solvable by previously available deterministic techniques. Fourteen papers presented by Annicchiarico (U. Central de Venezuela), Periaux (Pole Scientifique Dassault Aviation/U. Pierre et Marie Curie, France), Cerrolaza (U. Central de Venezuela), and Winter (U. de las Palmas de Gran Canaria, Spain) address theoretical, numerical, and applied aspects. Coverage includes the solution of constrained optimization problems, genetic diversity and stochastic selection in sampling methods, design under uncertainties based on Dace response surface and game theory, hybrid optimization with automatic switching among optimization algorithms, and cost-effective metamodel-assisted evolutionary algorithms. Papers discussing applications look at such topics as multi-objective robust design optimization using IOSO technology algorithms, economic dispatch optimizations in electric power systems by a flexible evolution agent, single- and multi-objective optimization in civil engineering, and human-competitive automated engineering design and optimization by means of genetic programming. The US office of WIT Press is Computational Mechanics.
([c] 2005 Book News, Inc., Portland, OR)
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|Publication:||SciTech Book News|
|Article Type:||Book Review|
|Date:||Dec 1, 2005|
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