Solving of discrete multiobjective problems using an evolutionary algorithm with a repair mechanism

Author

Zydallis, Jesse B. ; Lamont, Gary B.

Author_Institution

Dept. of Electr. & Comput. Eng., Air Force Inst. of Technol., Wright-Patterson AFB, OH, USA

Volume

1

fYear

2001

fDate

2001

Firstpage

470

Abstract

The solving of real-world multiobjective problems (MOPs) with an evolutionary algorithm (EA) is an increasing area of interest Presented in this paper is the application of a building block based EA to a real-world discrete MOP. A constraint handling method had to be designed and employed. The description of this method and the repair mechanism instrumental in repairing infeasible solutions is described in detail along with statistical analysis

Keywords

constraint handling; evolutionary computation; optimisation; statistical analysis; stochastic processes; MOPs; building block based EA; constraint handling method; discrete multiobjective problems; evolutionary algorithm; infeasible solutions; repair mechanism; statistical analysis; Application software; Biological cells; Engineering management; Evolutionary computation; Filtering; Military computing; Problem-solving; Random number generation; Statistical analysis; Technology management;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2001. MWSCAS 2001. Proceedings of the 44th IEEE 2001 Midwest Symposium on

Conference_Location

Dayton, OH

Print_ISBN

0-7803-7150-X

Type

conf

DOI

10.1109/MWSCAS.2001.986213

Filename

986213