Reference set metrics for multi-objective algorithms

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7076 LNCS, Issue PART 1, 2011, Pages 723-730

  Mohan, Chilukuri K ^a   Mehrotra, Kishan G ^a  

^a Syracuse University   (United States)

Author keywords

Metrics; Multi objective Algorithms; Reference Set

Indexed keywords

METRICS; MULTI OBJECTIVE; MULTI OBJECTIVE ALGORITHM; PARAMETERIZED; REFERENCE SET;

ARTIFICIAL INTELLIGENCE;

EVOLUTIONARY ALGORITHMS;

EID: 84555217884     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-27172-4_85     Document Type: Conference Paper

References (12)

1. Arrow, Social Choice and Individual Values, 2nd edn. John Wiley & Sons, Inc., New York (1963)
2. Coello Coello, C.A.: A Comprehensive Survey of Evolutionary-Based Multiobjective Optimization Techniqes. Knowledge and Information Systems: An International Journal 1(3), 269-3087 (1999)
3. Deb, K.: Multi-Objective Optimization using Evolutionary Algorithms. JohnWiley & Sons, Chichester (2001)
4. Fonseca, C.M., Fleming, P.J.: An overview of evolutionary algorithms in multiobjective optimization. Evolutionary Computation 3(1) (Spring 1995)
5. Knowles, J.D.: Local-Search and Hybrid Evolutionary Algorithms for Pareto Optimization. The University of Reading, Reading (2002)
6. Knowles, J.D., Corne, D.: On Metrics for Comparing Nondominated Sets. In: Congress on Evolutionary Computation (CEC 2002), vol. 1, pp. 711-716. IEEE Service Center, Piscataway (2002)
7. Rajagopalan, R., Mohan, C.K., Mehrotra, K.G., Varshney, P.K.: EMOCA: An Evolutionary Multi-Objective Crowding Algorithm. Journal of Intelligent Systems 17(1-3), 107-123 (2008)
8. van Veldhuizen, D.A., Lamont, G.B.: Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-art. Evolutionary Computation 8(2), 125-147 (2000)
9. Zhou, A., Qu, B.-Y., Li, H., Zhao, S.-Z., Suganthan, P.N., Zhang, Q.:Multiobjective evolutionary algorithms: A survey of the state-of-the-art. Swarm and Evolutionary Computation 1(1), 32-49 (2011)
10. Zitzler, E., Thiele, L., Laumanns, M., Fonseca, C.M., da Fonseca, V.G.: Performance Assessment of Multiopjective Optimizers: An Analysis and Review. IEEE Transactions on Evolutionaryy Computation 7(2), 117-130 (2003)
11. Zhou, A., Qu, B.-Y., Li, H., Zhao, S.-Z., Suganthan, P.N., Zhang, Q.:Multiobjective evolutionary algorithms: A survey of the state-of-the-art. Swarm and Evolutionary Computation 1(1), 32-49 (2011)
12. A wikipedia document discussing Condorcets Voting Paradox, http://en.wikipedia.org/wiki/Votingparadox