Title :
A hierarchical evolutionary approach to multi-objective optimization
Author :
Mumford, Christine L.
Author_Institution :
Sch. of Comput. Sci., Cardiff Univ., UK
Abstract :
This work describes a hierarchical evolutionary approach to Pareto-based multi-objective optimization. Using the SEAMO algorithm (a simple evolutionary algorithm for multi-objective optimization) as a basis, it demonstrates how it is possible to obtain a better spread of results if subpopulations of various sizes are used in a simple hierarchical framework. Three alternative hierarchical models are tried and the results compared.
Keywords :
evolutionary computation; optimisation; Pareto-based multiobjective optimization; SEAMO algorithm; hierarchical evolutionary computing; Availability; Computer science; Concurrent computing; Content addressable storage; Degradation; Evolutionary computation; Genetics; Hardware; Modems; Scalability;
Conference_Titel :
Evolutionary Computation, 2004. CEC2004. Congress on
Print_ISBN :
0-7803-8515-2
DOI :
10.1109/CEC.2004.1331134
