DocumentCode :
3213024
Title :
Accelerated Evolutionary Algorithm with Second-order Enhancement
Author :
Hewlett, Joel ; Wilamowski, Bogdan M. ; Kaynak, Okyay
Author_Institution :
Auburn Univ., Auburn, AL
fYear :
2008
fDate :
25-29 Feb. 2008
Firstpage :
103
Lastpage :
108
Abstract :
The paper describes a multiobjective optimization method which combines a second order algorithm with an enhanced evolutionary search in order to obtain a set of points which lie on the Pareto-optimal front. The second order portion of the method makes use of a "quasi-Jacobian" modification of the Levenberg-Marquardt algorithm, while the evolutionary portion involves a population based search which follows a Pareto defined "gradient." Both methods are described in detail, and experimental results are included.
Keywords :
Pareto optimisation; evolutionary computation; search problems; Levenberg-Marquardt algorithm; Pareto-optimal front; accelerated evolutionary algorithm; multiobjective optimization method; population based search; quasiJacobian modification; second order algorithm; Acceleration; Evolutionary computation; Genetic algorithms; Gradient methods; Intelligent systems; Minimization methods; Optimization methods; Pareto optimization; Systems engineering and theory; Terminology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Engineering Systems, 2008. INES 2008. International Conference on
Conference_Location :
Miami, FL
Print_ISBN :
978-1-4244-2082-7
Electronic_ISBN :
978-1-4244-2083-4
Type :
conf
DOI :
10.1109/INES.2008.4481277
Filename :
4481277
Link To Document :
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