New Operators for Faster Convergence and Better Solution Quality in Modified Genetic Algorithm.
Pei-Chann ChangYen-Wen WangChen-Hao LiuPublished in: ICNC (2) (2005)
Keyphrases
- solution quality
- faster convergence
- simulated annealing
- genetic algorithm
- global optimum
- computational effort
- test problems
- optimal solution
- metaheuristic
- convergence speed
- step size
- optimization method
- pso algorithm
- tabu search
- computational efficiency
- hybrid algorithm
- feasible solution
- evolutionary algorithm
- population diversity
- genetic algorithm ga
- particle swarm optimization
- resource consumption
- benchmark problems
- fitness function
- test instances
- job shop scheduling problem
- convergence rate
- combinatorial optimization
- global optimization
- evolutionary computation
- benchmark instances
- tabu search algorithm
- distributed constraint optimization problems
- genetic programming
- aco algorithm
- search algorithm
- crossover operator
- global search
- differential evolution
- ant colony optimization
- computational cost
- artificial neural networks
- computational complexity
- multiscale