A Multi-objective Particle Swarm Optimizer Based on Simulated Annealing and Decomposition.
Huan ZhangJun WuChangyue SunMing ZhongRennong YangPublished in: CCIS (2018)
Keyphrases
- particle swarm optimizer
- multi objective
- particle swarm optimization
- simulated annealing
- evolutionary algorithm
- genetic algorithm
- optimization algorithm
- multi objective optimization
- hybrid algorithm
- pso algorithm
- multi swarm
- particle swarm optimization pso
- metaheuristic
- adaptive strategies
- optimization method
- particle swarm optimization algorithm
- multiple objectives
- combinatorial optimization
- particle swarm
- tabu search
- differential evolution
- multiobjective optimization
- global optimum
- solution quality
- simulated annealing algorithm
- objective function
- optimization problems
- fitness function
- benchmark problems
- bi objective
- convergence speed
- global optimization
- nsga ii
- evolutionary computation
- evolutionary optimization
- genetic programming
- optimization methods
- genetic algorithm ga
- ant colony optimization
- decomposition method
- pareto optimal
- global search
- variable weighting
- multi objective optimization problems
- premature convergence
- reversible jump mcmc
- trade off
- hill climbing
- decomposition methods
- inertia weight
- decomposition algorithm
- mutation operator
- particle swarm optimisation
- multiobjective evolutionary algorithm
- multi objective evolutionary
- multi objective genetic algorithms
- multi objective evolutionary algorithms