Preventing Premature Convergence and Proving the Optimality in Evolutionary Algorithms.
Charlie VanaretJean-Baptiste GottelandNicolas DurandJean-Marc AlliotPublished in: Artificial Evolution (2013)
Keyphrases
- premature convergence
- evolutionary algorithm
- mutation operator
- differential evolution
- particle swarm
- fitness function
- genetic algorithm ga
- evolutionary computation
- population diversity
- differential evolution algorithm
- multi objective
- evolutionary programming
- test functions
- simulated annealing
- optimization problems
- genetic algorithm
- crossover operator
- multi objective optimization
- function optimization
- adaptive mutation
- global optima
- convergence speed
- hybrid algorithm
- optimization method
- constrained optimization problems
- evolution strategy
- crossover and mutation
- search capabilities
- genetic programming
- optimal solution
- particle swarm optimization
- mutation operation
- multimodal functions
- initial population
- genetic operators
- evolutionary process
- particle swarm optimization pso
- optimization algorithm
- evolutionary strategy
- evolutionary search
- nsga ii
- particle swarm optimisation
- fitness landscape
- global search
- pso algorithm
- tabu search
- objective function
- artificial intelligence