A cost-benefit local search coordination in multimeme differential evolution for constrained numerical optimization problems.
Saúl Domínguez-IsidroEfrén Mezura-MontesPublished in: Swarm Evol. Comput. (2018)
Keyphrases
- numerical optimization problems
- differential evolution
- cost benefit
- solving global optimization problems
- genetic algorithm
- convergence speed
- evolutionary algorithm
- test functions
- global search
- optimization algorithm
- particle swarm optimization
- particle swarm optimization pso
- optimization method
- differential evolution algorithm
- constrained optimization problems
- mutation operator
- numerical optimization
- simulated annealing
- memetic algorithm
- crossover operator
- evolution strategy
- premature convergence
- hybrid algorithm
- global optimization problems
- multi agent systems
- search algorithm
- particle swarm
- tabu search
- parameter optimization
- search space
- optimal solution
- evolutionary strategy
- multi objective optimization
- combinatorial optimization
- privacy concerns
- hill climbing
- particle swarm optimization algorithm
- artificial bee colony
- swarm intelligence
- evolutionary computation
- genetic programming
- initial population
- linear programming
- optimization problems