Title: The maximin fitness function for multi-objective evolutionary computation: application to city planning
Abstract: A new fitness function, known as the maximin fitness function, is presented for multi-objective genetic algorithms. This fitness function directs genetic algorithms towards final generations that are both close to the universal Pareto front and diverse. The performance of a genetic algorithm with the maximin fitness function as well as with the traditional Pareto-ranking fitness function is compared on a real-world test problem from city planning.
Publication Year: 2001
Publication Date: 2001-07-07
Language: en
Type: article
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Cited By Count: 30
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