Multi-swarm improved moth-flame optimization algorithm with chaotic grouping and Gaussian mutation for solving engineering optimization problems.
Xiaodong ZhaoYiming FangShuidong MaZhendong LiuPublished in: Expert Syst. Appl. (2022)
Keyphrases
- optimization algorithm
- multi swarm
- multi objective
- optimization problems
- evolutionary algorithm
- dynamic optimization problems
- particle swarm optimisation
- particle swarm optimization pso
- objective function
- nsga ii
- differential evolution
- combinatorial optimization
- optimization method
- mutation operator
- particle swarm optimization
- global optima
- multi objective optimization
- evolutionary computation
- swarm intelligence
- metaheuristic
- multiobjective optimization
- cost function
- evolutionary programming
- pso algorithm
- standard pso
- optimization methods
- hybrid optimization algorithm
- fitness function
- simulated annealing
- artificial bee colony
- evolutionary multi objective
- knapsack problem
- evolution strategy
- control parameters
- test problems
- machine learning
- traveling salesman problem
- genetic programming
- artificial intelligence
- genetic algorithm
- particle swarm
- evolutionary strategy
- graph model
- particle swarm optimizer
- hybrid algorithm
- fuzzy logic