Title :
An evolutionary programming algorithm for multi-objective optimisation
Author :
Lewis, Andrew ; Abramson, David
Author_Institution :
Griffith Univ., Brisbane, Qld., Australia
Abstract :
This paper describes a new evolutionary programming optimisation algorithm and a method of its application to multi-objective optimization problems. Computational results are presented demonstrating the algorithm´s ability to find Pareto-optimal solutions for a real-world problem in radio frequency component design.
Keywords :
evolutionary computation; optimisation; Pareto-optimal solutions; evolutionary programming algorithm; multiobjective optimisation; numerical simulation; radio frequency component design; Algorithm design and analysis; Australia; Design engineering; Design optimization; Evolutionary computation; Genetic algorithms; Genetic engineering; Genetic mutations; Genetic programming; Optimization methods;
Conference_Titel :
Evolutionary Computation, 2003. CEC '03. The 2003 Congress on
Print_ISBN :
0-7803-7804-0
DOI :
10.1109/CEC.2003.1299909
