Solving randomly generated fuzzy constraint networks using evolutionary/systematic hill-climbing
John W. Bowen, Gerry Vernon Dozier · Proceedings of IEEE 5th International Fuzzy Systems · 2002
This paper introduces an evolutionary/systematic hybrid which combines the concept of evolutionary hill-climbing search with the systematic search concept of arc revision to form a hybrid that quickly find solutions to fuzzy constraint satisfaction problems. This hybrid outperforms a modified version of a well known hill-climber, the iterative descent method, on a test suite of 500 randomly generated fuzzy constraint networks.