Solving Randomly Generated Static and Dynamic Fuzzy Constraint Networks using Microevolutionary Hill-Climbing.
Gerry V. DozierAbdollah HomaifarAlbert C. EsterlineJames BowenPublished in: Intell. Autom. Soft Comput. (1997)
Keyphrases
- randomly generated
- hill climbing
- constraint networks
- constraint problems
- constraint satisfaction problems
- max min
- backtracking algorithm
- search space
- systematic search
- np complete
- simulated annealing
- constraint satisfaction
- tree decomposition
- branch and bound algorithm
- hybrid algorithms
- phase transition
- temporal reasoning
- search algorithm
- sat instances
- search procedure
- search strategy
- arc consistency
- branch and bound
- constraint programming
- boolean functions
- tabu search
- np complete problems
- genetic algorithm ga
- combinatorial optimization
- path consistency
- sat problem
- heuristic function
- constraint propagation
- admissible heuristics
- random instances
- metaheuristic
- genetic algorithm
- steepest ascent
- satisfiability problem
- special case
- qualitative spatial and temporal reasoning