Using Diversity as an Additional-objective in Dynamic Multi-objective Optimization Algorithms

Author

Chen, Hao ; Li, Ming ; Chen, Xi

Author_Institution

Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China

Volume

1

fYear

2009

fDate

22-24 May 2009

Firstpage

484

Lastpage

487

Abstract

This paper investigates the use of additional-objective for solving multi-objective optimization problems in dynamic environment. A number of authors proposed the use of additional-objective for maintaining diversity in static single-objective optimization task; in this paper the work is extended to dealing with the dynamic multi-objective optimization problems. Individual diversity is used as an additional-objective, and a new efficient multi-objective optimization algorithm is proposed. Experimental results clearly indicate that the performance of the proposed algorithm is gratifying.

Keywords

evolutionary computation; additional-objective; dynamic multiobjective optimization algorithms; evolutionary algorithm; individual diversity; static single-objective optimization task; Aerodynamics; Automatic testing; Educational institutions; Electronic commerce; Electronic equipment testing; Evolutionary computation; Genetics; Heuristic algorithms; Nondestructive testing; Security; additional-objectives; evolutionary algorithms; multi-objective dynamic probelms; multi-objective optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic Commerce and Security, 2009. ISECS '09. Second International Symposium on

Conference_Location

Nanchang

Print_ISBN

978-0-7695-3643-9

Type

conf

DOI

10.1109/ISECS.2009.42

Filename

5209708