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Many-Objective Evolutionary Optimisation

Many-Objective Evolutionary Optimisation

Francesco di Pierro, Soon-Thiam Khu, Dragan A. Savic
Copyright: © 2009 |Pages: 7
ISBN13: 9781599048499|ISBN10: 1599048493|EISBN13: 9781599048505
DOI: 10.4018/978-1-59904-849-9.ch154
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MLA

di Pierro, Francesco, et al. "Many-Objective Evolutionary Optimisation." Encyclopedia of Artificial Intelligence, edited by Juan Ramón Rabuñal Dopico, et al., IGI Global, 2009, pp. 1042-1048. https://doi.org/10.4018/978-1-59904-849-9.ch154

APA

di Pierro, F., Khu, S., & Savic, D. A. (2009). Many-Objective Evolutionary Optimisation. In J. Rabuñal Dopico, J. Dorado, & A. Pazos (Eds.), Encyclopedia of Artificial Intelligence (pp. 1042-1048). IGI Global. https://doi.org/10.4018/978-1-59904-849-9.ch154

Chicago

di Pierro, Francesco, Soon-Thiam Khu, and Dragan A. Savic. "Many-Objective Evolutionary Optimisation." In Encyclopedia of Artificial Intelligence, edited by Juan Ramón Rabuñal Dopico, Julian Dorado, and Alejandro Pazos, 1042-1048. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-59904-849-9.ch154

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Abstract

Many-objective evolutionary optimisation is a recent research area that is concerned with the optimisation of problems consisting of a large number of performance criteria using evolutionary algorithms. Despite the tremendous development that multi-objective evolutionary algorithms (MOEAs) have undergone over the last decade, studies addressing problems consisting of a large number of objectives are still rare. The main reason is that these problems cause additional challenges with respect to low-dimensional ones. This chapter gives a detailed analysis of these challenges, provides a critical review of the traditional remedies and methods for the evolutionary optimisation of many-objective problems and presents the latest advances in this field.

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