Title :
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
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;
Conference_Titel :
Electronic Commerce and Security, 2009. ISECS '09. Second International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3643-9
DOI :
10.1109/ISECS.2009.42
