A diversity metric for multi-objective evolutionary algorithms

Lecture Notes in Computer Science

Volumn 3612, Issue PART III, 2005, Pages 68-73

  Li, Xu Yong ^a   Zheng, Jin Hua ^a   Xue, Juan ^a  

^a XIANGTAN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; OPTIMIZATION;

CLUSTERING; DIVERSITY METRICS; MULTI-OBJECTIVE EVOLUTIONARY ALGORITHM (MOEA);

EVOLUTIONARY ALGORITHMS;

EID: 26844529766     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11539902_8     Document Type: Conference Paper

References (7)

1. Corne, D.W., Jerram, N.R., Knowles, J.D., and Oates, M.J.: PESA-II: Region-based Selection in Evolutionary Multi-objective Optimization. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001).(2001) 283-290.
2. Deb K., Agrawal S., Pratap A., & Meyarivan T.: A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II. KanGAL Report No. 200001 (2000).
3. K. Deb, L. Thiele, M. Laumanns, and E. Zitzler.: Scalable Test Problems for Evolutionary Multi-Objective Optimization. KanGAL Report No. 2001001(2001).
4. K. Deb and Sachin Jain.: Running Performance Metrics for Evolutionary Multi-Objective Optimization. KanGAL Report No. 2002004(2002)
5. K. Deb, Mohan, M. and Mishra, S.: A Fast Multi-objective Evolutionary Algorithm for Finding Well-Spread Pareto-Optimal Solutions. KanGAL Report No. 2003002 (2003).
6. E. Zitzler., M. Laumanns, and L. Thiele.: SPEA2: Improving the Strength Pareto Evolutionary Algorithm for Multiobjective Optimization. EUROGEN 2001 - Evolutionary Methods for Design, Optimisation and Control with Applications to Industrial Problems, September 2001.
7. ZHENG jin-hua, SHI zhong-zhi, XIE yong.: A Fast Multi-objective Genetic Algorithm Based on Clustering .Journal of computer research and development(Chinese).(2004)