A Mixed Strategy Multi-Objective Coevolutionary Algorithm Based on Single-Point Mutation and Particle Swarm Optimization.
Xin ZhangHongbin DongXue YangJun HePublished in: RSKT (2012)
Keyphrases
- single point
- multi objective
- particle swarm optimization
- coevolutionary algorithm
- mixed strategy
- genetic operators
- evolutionary algorithm
- genetic algorithm
- differential evolution
- fitness function
- mutation operator
- pso algorithm
- multi objective optimization
- crossover and mutation
- nash equilibrium
- optimization algorithm
- global optimization
- evolutionary computation
- crossover operator
- particle swarm optimization algorithm
- optimization problems
- evolutionary game theory
- evolution strategy
- nsga ii
- cooperative
- swarm intelligence
- natural selection
- particle swarm
- particle swarm optimization pso
- metaheuristic
- genetic programming
- genetic algorithm ga
- convergence speed
- particle swarm optimizer
- ant colony optimization
- global search
- point correspondences
- simulated annealing
- neural network
- light source
- objective function
- nash equilibria
- optimization method
- population size
- intelligent search
- fitness landscape
- artificial intelligence
- incomplete information
- multi agent
- premature convergence
- multi agent systems
- computational complexity
- artificial neural networks