Improving Metaheuristic Performance by Evolving a Variable Fitness Function.
Keshav P. DahalStephen RemdePeter I. CowlingNic ColledgePublished in: EvoCOP (2008)
Keyphrases
- fitness function
- metaheuristic
- genetic algorithm
- search space
- evolutionary algorithm
- simulated annealing
- optimization problems
- tabu search
- genetic programming
- genetic algorithm ga
- evolutionary computation
- evolutionary process
- ant colony optimization
- combinatorial optimization
- solution space
- genetic operators
- combinatorial optimization problems
- scatter search
- benchmark instances
- optimization method
- evolutionary search
- path relinking
- particle swarm optimization
- harmony search
- vehicle routing problem
- optimal solution
- hybrid metaheuristic
- nature inspired
- mutation operator
- particle swarm
- iterated local search
- genetic algorithm is employed
- neural network
- crossover operator
- differential evolution
- artificial neural networks
- particle swarm optimisation
- benchmark problems
- variable neighborhood search
- search algorithm
- search procedure
- linear programming
- multi start
- multi objective
- guided local search
- set of benchmark instances