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Evolutionary Algorithms in Engineering and Computer Science: Recent Advances in Genetic Algorithms, Evolution Strategies, Evolutionary Programming, Ge

Evolutionary Algorithms in Engineering and Computer Science: Recent Advances in Genetic Algorithms, Evolution Strategies, Evolutionary Programming, Ge (Hardcover)

Kaisa Miettinen, P. Neittaanmaki, M. M. Makela (엮은이)
John Wiley & Sons
553,330원

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Evolutionary Algorithms in Engineering and Computer Science: Recent Advances in Genetic Algorithms, Evolution Strategies, Evolutionary Programming, Ge
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· 제목 : Evolutionary Algorithms in Engineering and Computer Science: Recent Advances in Genetic Algorithms, Evolution Strategies, Evolutionary Programming, Ge (Hardcover) 
· 분류 : 외국도서 > 컴퓨터 > 인공지능(AI)
· ISBN : 9780471999027
· 쪽수 : 500쪽
· 출판일 : 1999-07-09

목차

METHODOLOGICAL ASPECTS.

Using Genetic Algorithms for Optimization: Technology Transfer in Action (J. Haataja).

An Introduction to Evolutionary Computation and Some Applications (D. Fogel).

Evolutionary Computation: Recent Developments and Open Issues (K. De Jong).

Some Recent Important Foundational Results in Evolutionary Computation (D. Fogel). Evolutionary Algorithms for Engineering Applications (Z. Michalewicz, et al.).

Embedded Path Tracing and Neighbourhood Search Techniques (C. Reeves T. Yamada). Parallel and Distributed Evolutionary Algorithms (M. Tomassini).

Evolutionary Multi-Criterion Optimization (K. Deb).

ACO Algorithms for the Traveling Salesman Problem (T. Stützle M. Dorigo).

Genetic Programming: Turing's Third Way to Achieve Machine Intelligence (J. Koza, et al.).

Automatic Synthesis of the Topology and Sizing for Analog Electrical Circuits Using Genetic Programming (F. Bennett, et al.).

APPLICATION-ORIENTED APPROACHES.

Multidisciplinary Hybrid Constrained GA Optimization (G. Dulikravich, et al.).

Genetic Algorithm as a Tool for Solving Electrical Engineering Problems (M. Rudnicki, et al.).

Genetic Algorithms in Shape Optimization: Finite and Boundary Element Applications (M. Cerrolaza W. Annicchiarico).

Genetic Algorithms and Fractals (E. Lutton).

Three Evolutionary Approaches to Clustering (H. Luchian).

INDUSTRIAL APPLICATIONS.

Evolutionary Algorithms Applied to Academic and Industrial Test Cases (T. Bäck, et al.).

Optimization of an Active Noise Control System Inside an Aircraft, Based on the Simultaneous Optimal Positioning of Microphones and Speakers, with the Use of a Genetic Algorithm (Z. Diamantis, et al.).

Generator Scheduling in Power Systems by Genetic Algorithm and Expert System (B. Galvan, et al.).

Efficient Partitioning Methods for 3-D Unstructured Grids Using Genetic Algorithms (A. Giotis, et al.).

Genetic Algorithms in Shape Optimization of a Paper Machine Headbox (J. Hämäläinen, et al.).

A Parallel Genetic Algorithm for Multi-Objective Optimization in Computational Fluid Dynamics (N. Marco, et al.).

Application of a Multi Objective Genetic Algorithm and a Neural Network to the Optimisation of Foundry Processes (G. Meneghetti, et al.).

Circuit Partitioning Using Evolution Algorithms (J. Montiel-Nelson, et al.).

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