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