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This document discusses multi-objective optimization using genetic algorithms. It introduces the Niched Pareto Genetic Algorithm as a method for finding the Pareto optimal set for problems with multiple objectives. The algorithm uses Pareto domination in selection and niching pressure to spread the population along the Pareto optimal frontier. It compares this approach to using Multi-Attribute Utility Analysis to combine objectives into a single scalar function for a genetic algorithm to optimize. The Niche

Author

Obemfal

Language

EN