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Evolutionary Optimization in Production Research

Evolutionary Optimization in Production Research

C. Dimopoulos
Copyright: © 2007 |Pages: 15
ISBN13: 9781591409847|ISBN10: 1591409845|EISBN13: 9781591409854
DOI: 10.4018/978-1-59140-984-7.ch032
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MLA

Dimopoulos, C. "Evolutionary Optimization in Production Research." Handbook of Research on Nature-Inspired Computing for Economics and Management, edited by Jean-Philippe Rennard, IGI Global, 2007, pp. 483-497. https://doi.org/10.4018/978-1-59140-984-7.ch032

APA

Dimopoulos, C. (2007). Evolutionary Optimization in Production Research. In J. Rennard (Ed.), Handbook of Research on Nature-Inspired Computing for Economics and Management (pp. 483-497). IGI Global. https://doi.org/10.4018/978-1-59140-984-7.ch032

Chicago

Dimopoulos, C. "Evolutionary Optimization in Production Research." In Handbook of Research on Nature-Inspired Computing for Economics and Management, edited by Jean-Philippe Rennard, 483-497. Hershey, PA: IGI Global, 2007. https://doi.org/10.4018/978-1-59140-984-7.ch032

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Abstract

This chapter provides a short guide on the use of evolutionary computation methods in the field of production research. The application of evolutionary computation methods is explained using a number of typical examples taken from the areas of production scheduling, assembly lines, and cellular manufacturing. A detailed case study on the solution of the cell-formation problem illustrates the benefits of the proposed approach. The chapter also provides a critical review on the up-to-date use of evolutionary computation methods in the field of production research and indicates potential enhancements as well as promising application areas. The aim of the chapter is to present researchers, practitioners, and managers with a basic understanding of the current use of evolutionary computation techniques and allow them to either initiate further research or employ the existing algorithms in order to optimize their production lines.

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