Study on multiobjective optimization using improved genetic Algorithm

Name: Study on multiobjective optimization using improved genetic Algorithm
Brand: LAP Lambert Academic Publishing
SKU: 9783846548899
Price: 54.03 EUR
Availability: InStock

Methodology and Application

Автор: Abd Allah A. Mousa

Език:

Корици: С меки корици

Издател: LAP Lambert Academic Publishing

Наличност: Външен склад

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54.03 € 105.68 лв

Many real-world problems involve two types of problem difficulty: I) multiple, conflicting objective...

Информация за книгата

Автор

Abd Allah A. Mousa

Език

Английски език

Корици

Книга - С меки корици

Издадена

2011

страници

144

EAN

9783846548899

Enbook ID

06957676

Издател

LAP Lambert Academic Publishing

Теглоt

233

Размери

150 x 220 x 9

Пълно описание

Many real-world problems involve two types of problem difficulty: I) multiple, conflicting objectives and II) a highly complex search space. On the one hand, instead of a single optimal solution competing goals give rise to a set of compromise solutions, generally denoted as Pareto-optimal. In the absence of preference information, none of the corresponding trade-offs can be said to be better than the others. On the other hand, the search space can be too large and too complex to be solved by exact methods. Thus, efficient optimization strategies are required that are able to deal with both difficulties. Evolutionary algorithms possess several characteristics that are desirable for this kind of problem and make them preferable to classical optimization methods. In fact, various evolutionary approaches to multiobjective optimization have been proposed since 1985, capable of searching for multiple Pareto optimal solutions concurrently in a single simulation run. The subject of this work is the improvement of multiobjective evolutionary algorithms and their application to engineering problems.

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Study on multiobjective optimization using improved genetic Algorithm

Methodology and Application

Информация за книгата

Пълно описание

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