Incentive method to handle constraints in evolutionary algorithms with a case study

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

Volumn 3905 LNCS, Issue , 2006, Pages 133-144

  Tsang, Edward ^a   Jin, Nanlin ^a  

^a UNIVERSITY OF ESSEX   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; CONSTRAINT THEORY; HEURISTIC METHODS; MATHEMATICAL MODELS; MATHEMATICAL PROGRAMMING; PROBLEM SOLVING; STATISTICAL METHODS;

INCENTIVE METHOD; INFINITE-HORIZON EXTENSIVE-FORM GAME; MULTI-CONSTRAINT OPTIMIZATION PROBLEMS; NON-CONSTRAINT SETTING;

EVOLUTIONARY ALGORITHMS;

EID: 33745743460     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11729976_12     Document Type: Conference Paper

References (7)

1. Koza, J.: Genetic Programming: On the Programming of Computers by Means of Natural Selection. The MIT Press, USA (1992)
2. Miller, J.: The Co-evolution of Automata in the Repeated Prisoner's Dilemma. Journal of Economic Behavior and Organization, (1996) 29(1), 87-112,
3. Jin, N. and Tsang, E. (2005) Co-evolutionary Strategies for an Alternating-Offer Bargaining Problem, IEEE Symposium on Computational Intelligence and Games (IEEE GIG), Colchester, UK 4-6 April 2005
4. Muthoo, A.: Bargaining Theory with Applications, Cambridge University Press (1999)
5. Rubinstein, A.: Perfect Equilibrium in a Bargaining Model, Econometrica, (1982) 50: 97-110
6. Tsang, E., Li, J.: EDDIE for financial forecasting, in S-H. Chen (ed.), Genetic Algorithms and Programming in Computational Finance, Kluwer Series in Computational Finance, 2002, Chapter 7, 161-174
7. Tsang, E.P.K., Foundations of Constraint Satisfaction, Academic Press, London and San Diego, 1993