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How Genetic Algorithms Handle Pareto-Optimality in Design and Manufacturing

How Genetic Algorithms Handle Pareto-Optimality in Design and Manufacturing
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Author(s): N. Chakraborti (Indian Institute of Technology, India)
Copyright: 2007
Pages: 18
Source title: Handbook of Research on Nature-Inspired Computing for Economics and Management
Source Author(s)/Editor(s): Jean-Philippe Rennard (Grenoble Graduate School of Business, France)
DOI: 10.4018/978-1-59140-984-7.ch031

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Abstract

An informal analysis is provided for the basic concepts associated with multi-objective optimization and the notion of Pareto-optimality, particularly in the context of genetic algorithms. A number of evolutionary algorithms developed for this purpose are also briefly introduced, and finally, a number of paradigm examples are presented from the materials and manufacturing sectors, where multi-objective genetic algorithms have been successfully utilized in the recent past.

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