Escaping Local Optima Using Crossover With Emergent Diversity.
Duc-Cuong DangTobias FriedrichTimo KötzingMartin S. KrejcaPer Kristian LehrePietro S. OlivetoDirk SudholtAndrew M. SuttonPublished in: IEEE Trans. Evol. Comput. (2018)
Keyphrases
- premature convergence
- global optima
- mutation operator
- evolutionary algorithm
- differential evolution
- genetic algorithm ga
- evolutionary process
- cauchy mutation
- crossover and mutation
- pso algorithm
- crossover operator
- genetic algorithm
- population diversity
- global search
- candidate solutions
- optimization algorithm
- convergence speed
- evolutionary computation
- particle swarm optimisation
- genetic programming
- particle swarm optimization
- fitness function
- multi objective
- particle swarm
- optimization problems
- multi objective optimization
- selection strategy
- function optimization
- convergence rate
- particle swarm optimization algorithm
- hybrid algorithm
- optimization method
- nsga ii
- differential evolution algorithm
- global optimum
- particle swarm optimization pso
- simulated annealing
- fitness landscape
- global optimization
- initial population
- genetic operators
- step size
- solution space
- artificial neural networks
- multi agent systems