DocumentCode
3400302
Title
A hierarchical evolutionary approach to multi-objective optimization
Author
Mumford, Christine L.
Author_Institution
Sch. of Comput. Sci., Cardiff Univ., UK
Volume
2
fYear
2004
fDate
19-23 June 2004
Firstpage
1944
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2004. CEC2004. Congress on
Print_ISBN
0-7803-8515-2
Type
conf
DOI
10.1109/CEC.2004.1331134
Filename
1331134
Link To Document