Back to Search
Start Over
Improving the Quality of the Pareto Frontier Approximation Obtained by Semi-elitist Evolutionary Multi-agent System Using Distributed and Decentralized Frontier Crowding Mechanism.
- Source :
- Adaptive & Natural Computing Algorithms (9783540715894); 2007, p138-147, 10p
- Publication Year :
- 2007
-
Abstract
- The paper presents one of additional mechanisms called distributed frontier crowding which can be introduced to the Semi-Elitist Evolutionary Multi Agent System—selEMAS and which can significantly improve the quality of obtained Pareto frontier approximation. The preliminary experimental comparative studies are based on a typical multi-objective problem presenting the most important features of the proposed approach. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783540715894
- Database :
- Complementary Index
- Journal :
- Adaptive & Natural Computing Algorithms (9783540715894)
- Publication Type :
- Book
- Accession number :
- 33109797
- Full Text :
- https://doi.org/10.1007/978-3-540-71618-1_16