A dual-population genetic algorithm for balanced exploration and exploitation.
Taejin ParkKwang Ryel RyuPublished in: Computational Intelligence (2006)
Keyphrases
- genetic algorithm
- multi population
- population size
- search capabilities
- mutation operator
- evolution process
- initial population
- binary strings
- crossover and mutation
- evolutionary process
- differential evolution
- population diversity
- evolutionary algorithm
- evolutionary search
- candidate solutions
- genetic operators
- fitness function
- particle swarm optimization
- fuzzy logic
- multi objective
- neural network
- evolutionary computation
- real coded
- exploration exploitation tradeoff
- artificial neural networks
- selection operator
- hybrid algorithm
- genetic search
- mutation probability
- active exploration
- mutation rate
- relevance feedback
- simulated annealing
- genetic programming
- metaheuristic
- optimization method
- primal dual