Title :
Performance assessment of Generalized Differential Evolution 3 with a given set of constrained multi-objective test problems
Author :
Kukkonen, Saku ; Lampinen, Jouni
Author_Institution :
Dept. of Math. & Phys., Lappeenranta Univ. of Technol., Lappeenranta
Abstract :
This paper presents results for the CEC 2009 special session on ldquoperformance assessment of constrained/bound constrained multi-objective optimization algorithmsrdquo when generalized differential evolution 3 has been used to solve a given set of test problems. The set consist of 23 problems having two, three, or five objectives. Problems have different properties in the sense of separability, modality, and geometry of the Pareto-front. The most of the problems are unconstrained, but 10 problems have one or two constraints. According to the numerical results with an inverted generational distance, generalized differential evolution 3 performed well with all the problems except with one five objective problem. It was noticed that a low crossover control parameter value provides the best average results according to the metric.
Keywords :
Pareto optimisation; evolutionary computation; Pareto-front; bound constrained multiobjective optimization algorithm; constrained multiobjective optimization algorithm; generalized differential evolution 3; inverted generational distance; low crossover control parameter value; performance assessment; Chromium; Constraint optimization; Encoding; Evolutionary computation; Genetic mutations; Geometry; Optimization methods; Size control; Testing;
Conference_Titel :
Evolutionary Computation, 2009. CEC '09. IEEE Congress on
Conference_Location :
Trondheim
Print_ISBN :
978-1-4244-2958-5
Electronic_ISBN :
978-1-4244-2959-2
DOI :
10.1109/CEC.2009.4983178
