Genetic Algorithms Demo: Multimodal Function Optimization - II (Deb, Saha)

As opposed to a unimodal function optimization, where we find only "the" best solution, the task in a multimodal optimization problem is to find ALL the good solutions. See how it happens. This demo is based on my work: Deb, K., Saha, A., Finding Multiple Solutions for Multimodal Optimization Problems Using a Multi-Objective Evolutionary Approach (Accepted to be presented as full paper in GECCO-2010) It uses the popular Evolutionary Multi-objective optimization algorithm (EMO)- NSGA- II

This multimodal function is not taken from the paper.

Category:

Education

Tags:

• genetic algorithms
• optimization