Co-evolutionary constraint satisfaction

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

Volumn 866 LNCS, Issue , 1994, Pages 46-55

  Paredis, Jan ^a  

^a Research Institute for Knowledge Systems   (Netherlands)

Author keywords

Co evolution; Constraint satisfaction; Epistatic problems; Genetic algorithms; Life time fitness evaluation; Predator prey systems

Indexed keywords

GENETIC ALGORITHMS; HEALTH; PREDATOR PREY SYSTEMS;

CO-EVOLUTION; CO-EVOLUTIONARY; CO-EVOLUTIONARY APPROACH; CONSTRAINT SATISFACTION; EPISTATIC PROBLEMS; EVOLUTIONARY SEARCH; FITNESS EVALUATIONS; PENALTY FUNCTION;

CONSTRAINT SATISFACTION PROBLEMS;

EID: 84977161339     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-58484-6_249     Document Type: Conference Paper

References (9)

1. Davis, L., (1988), Applying Adaptive Algorithms to Epistatic Domains, Proc. IJCAI-88.
2. Hillis, W.D., (1992), Co-evolving Parasites Improve Simulated Evolution as an Optimization Procedure, in Artificial Life II, Langton, C.G.; Taylor, C.; Farmer, J.D., and Rasmussen, S., (eds), Addison-Wesley, California.
3. Mühlenbein, H., (1992), Parallel Genetic Algorithms in Combinatorial Optimization, Proc. Computer Science and Operations Research: New Developments in Their Interfaces, ORSA, Pergamon Press.
4. Paredis, J., (1993), Genetic State-Space Search for Constrained Optimization Problems, Proc. Thirteenth International Joint Conference on Artificial Intelligence (IJCAI 93), Morgan Kaufmann Publishers.
5. Paredis, J., (1994a), Steps towards Co-evolutionary Classification Neural Networks, Proc. Artificial Life IV, R. Brooks, P. Maes (eds), MIT Press / Bradford Books.
6. Paredis, J., (1994b), The Symbiotic Evolution of Solutions and their Representation, (in preparation).
7. Richardson, J.T.; Palmer, M.R.; Liepins, G.; Hilliard M., (1989), Some Guidelines for Genetic Algorithms with Penalty Functions. Proc. Third Int. Conf. on Genetic Algorithms, Morgan Kaufmann.
8. Whitley, D., (1989a), The Genitor Algorithm and Selection Pressure: Why Rank-Based Allocation of Reproductive Trails is Best. Proc. Third Int. Conf. on Genetic Algorithms, Morgan Kaufmann.
9. Whitley, D., (1989b), Optimizing Neural Networks using Faster, more Accurate Genetic Search. Proc. Third Int. Conf. on Genetic Algorithms, Morgan Kaufmann.