Performance comparison DE vs PSO vs TAGUCHI for benchmark function: Griewank's in [-10:10]

Mengon, M. (2012) Performance comparison DE vs PSO vs TAGUCHI for benchmark function: Griewank's in [-10:10]. Masters thesis, University of Trento.

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Abstract

The aim of the project is to analyze the performances of two evolutionary algorithms (Differential Evolution and Particle Swarm Optimizer) and Taguchi's method when dealing with benchmark functions. In particular, this project will analyze the performances of both the algoritms for: Griewank's Function in [-10:10]

Item Type: Student Project Guidelines (Masters)
Uncontrolled Keywords: Evolutionary Optimization
Subjects: Uncategorized > TK Master Thesis and Project Reports
URI: http://www.eledia.org/students-reports/id/eprint/595

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