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Evolutionary Multi-Objective Optimization in Finance

Evolutionary Multi-Objective Optimization in Finance

C. A.C. Coello
Copyright: © 2007 |Pages: 16
ISBN13: 9781591409847|ISBN10: 1591409845|EISBN13: 9781591409854
DOI: 10.4018/978-1-59140-984-7.ch006
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MLA

Coello, C. A.C. "Evolutionary Multi-Objective Optimization in Finance." Handbook of Research on Nature-Inspired Computing for Economics and Management, edited by Jean-Philippe Rennard, IGI Global, 2007, pp. 74-89. https://doi.org/10.4018/978-1-59140-984-7.ch006

APA

Coello, C. A. (2007). Evolutionary Multi-Objective Optimization in Finance. In J. Rennard (Ed.), Handbook of Research on Nature-Inspired Computing for Economics and Management (pp. 74-89). IGI Global. https://doi.org/10.4018/978-1-59140-984-7.ch006

Chicago

Coello, C. A.C. "Evolutionary Multi-Objective Optimization in Finance." In Handbook of Research on Nature-Inspired Computing for Economics and Management, edited by Jean-Philippe Rennard, 74-89. Hershey, PA: IGI Global, 2007. https://doi.org/10.4018/978-1-59140-984-7.ch006

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Abstract

This chapter provides a brief introduction of the use of evolutionary algorithms in the solution of multi-objective optimization problems (an area now called “evolutionary multi-objective optimization”). Besides providing some basic concepts and a brief description of the approaches that are more commonly used nowadays, the chapter also provides some of the current and future research trends in the area. In the final part of the chapter, we provide a short description of the sort of applications that multi-objective evolutionary algorithms have found in finance, identifying some possible paths for future research.

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