Title :
Use of mendelian pressure in a multi-objective genetic algorithm
Author :
Kadrovach, B. Anthony ; Zydallis, Jesse B. ; Lamont, Gary B.
Author_Institution :
Dept. of Electr. & Comput. Eng., Air Force Inst. of Technol., Wright-Patterson AFB, OH, USA
Abstract :
Significant work has been conducted in developing techniques for multi-objective problem (MOP) optimizations. This paper investigates the use of a Mendel-like dominance scheme for improving the efficiency of a MOP genetic algorithm. This paper shows, for the selected MOP test suite, that the mendelian GA outperforms a simple GA
Keywords :
biology; genetic algorithms; MOP test suite; Mendel-like dominance scheme; evolutionary computational methods; mendelian pressure; multi-objective genetic algorithm; optimizations; Biological cells; Cells (biology); Engineering management; Evolution (biology); Genetic algorithms; Genetic engineering; Genetic mutations; Optimization methods; Technology management; Testing;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1007055
