Titlebook: Evolutionary Algorithms in Engineering Applications; Dipankar Dasgupta,Zbigniew Michalewicz Book 1997 Springer-Verlag Berlin Heidelberg 19

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书目名称Evolutionary Algorithms in Engineering Applications影响因子(影响力)




书目名称Evolutionary Algorithms in Engineering Applications影响因子(影响力)学科排名




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书目名称Evolutionary Algorithms in Engineering Applications网络公开度学科排名




书目名称Evolutionary Algorithms in Engineering Applications被引频次




书目名称Evolutionary Algorithms in Engineering Applications被引频次学科排名




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书目名称Evolutionary Algorithms in Engineering Applications年度引用学科排名




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书目名称Evolutionary Algorithms in Engineering Applications读者反馈学科排名

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The Generation of Form Using an Evolutionary Approach chromosomes which comprise genes representing design grammar rules. Evaluation is carried out both through the use of a fitness function and through human interaction. The concepts are exemplified in the context of the design of house plans.

Haphazard

A Genetic Algorithm Approach for River Managements the use of an accurate system model while retaining powerful search capabilities. The effectiveness of this approach is demonstrated by the results of its application to a complex hydraulic/economic problem based on the Rio Grande Project in southern New Mexico.

JUST

The Identification and Characterization of Workload Classesthe workload of computer systems. The GA identifies both the number of workload classes and the class centroids. The proposed new technique appears to outperform K-means clustering, an accepted workload characterization technique.

JUST

Genetic Engineering and Design Problemstional process. We apply it to the solution of a spatial layout planning problem as an example of an NP-complete problem and to case-based layout design as an example of a class of problem which cannot be solved directly using traditional genetic algorithms.

CLIFF

Gate-Level Evolvable Hardware: Empirical Study and Applicationd by genetic algorithms (GA). This paper describes the fundamental principle of the gate-level EHW and its improvement by the MDL-based fitness evaluation. The effectiveness of our approach is shown by comparative experiments and a successful application. We also discuss the current extension of EHW and related works.

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