Title :
Convergence properties of some multi-objective evolutionary algorithms
Author :
Rudolph, Gunter ; Agapie, Alexandru
Author_Institution :
Dept. of Comput. Sci., Dortmund Univ., Germany
Abstract :
We present four abstract evolutionary algorithms for multi-objective optimization and theoretical results that characterize their convergence behavior. Thanks to these results it is easy to verify whether or not a particular instantiation of these abstract evolutionary algorithms offers the desired limit behavior. Several examples are given
Keywords :
convergence of numerical methods; evolutionary computation; optimisation; abstract evolutionary algorithms; convergence properties; multi-objective evolutionary algorithms; multi-objective optimization; Computational intelligence; Computer science; Convergence; Evolutionary computation; Markov processes; Random sequences;
Conference_Titel :
Evolutionary Computation, 2000. Proceedings of the 2000 Congress on
Conference_Location :
La Jolla, CA
Print_ISBN :
0-7803-6375-2
DOI :
10.1109/CEC.2000.870756
