Hybridizing differential evolution and novelty search for multimodal optimization problems.
Aritz D. MartinezEneko OsabaIzaskun OregiIztok Fister Jr.Iztok FisterJavier Del SerPublished in: GECCO (Companion) (2019)
Keyphrases
- differential evolution
- evolutionary algorithm
- optimization problems
- solving global optimization problems
- convergence speed
- differential evolution algorithm
- constrained optimization problems
- optimization algorithm
- test functions
- harmony search
- particle swarm optimization
- multi objective
- multi objective optimization
- search algorithm
- evolutionary search
- optimization method
- multi objective optimization problems
- hybrid algorithm
- premature convergence
- evolution process
- search space
- global search
- direct search
- mutation operator
- metaheuristic
- nsga ii
- adaptive differential evolution
- evolution strategy
- cost function
- particle swarm optimization pso
- simulated annealing
- optimization methods
- biogeography based optimization
- parameter optimization
- initial population
- evolutionary strategy
- global optimization problems
- evolutionary programming
- artificial bee colony
- function optimization problems
- numerical optimization problems
- objective function
- genetic programming
- fitness function
- particle swarm
- test problems
- genetic algorithm
- real coded
- binary particle swarm optimization
- knapsack problem
- solution space
- crossover operator