Combining Local Search and Fitness Function Adaptation in a GA for Solving Binary Constraint Satisfaction Problems.
Bart G. W. CraenenA. E. EibenElena MarchioriAdri G. SteenbeekPublished in: GECCO (2000)
Keyphrases
- fitness function
- genetic algorithm
- genetic algorithm ga
- evolutionary search
- genetic programming
- evolutionary algorithm
- search space
- hybrid ga
- genetic operators
- candidate solutions
- evolutionary computation
- search heuristics
- combinatorial optimization
- crossover and mutation
- simulated annealing
- initial population
- crossover operator
- fitness evaluation
- global search
- evolutionary process
- tabu search
- multi objective
- metaheuristic
- stochastic local search
- job shop scheduling problem
- particle swarm
- mutation operator
- constrained optimization problems
- binary particle swarm optimization
- genetic algorithm is employed
- penalty function
- memetic algorithm
- nsga ii
- search algorithm
- evolution strategy
- particle swarm optimisation
- multiple objectives
- artificial neural networks
- neural network