PS-ABC: A hybrid algorithm based on particle swarm and artificial bee colony for high-dimensional optimization problems.
Zhiyong LiWeiyou WangYanyan YanZheng LiPublished in: Expert Syst. Appl. (2015)
Keyphrases
- particle swarm
- hybrid algorithm
- artificial bee colony
- differential evolution
- optimization problems
- evolutionary algorithm
- high dimensional
- abc algorithm
- artificial bee colony algorithm
- swarm intelligence
- multi objective
- particle swarm optimization
- optimization method
- metaheuristic
- particle swarm optimization pso
- ant colony optimization
- particle swarm algorithm
- premature convergence
- evolutionary computation
- optimization algorithm
- combinatorial optimization
- simulated annealing
- convergence speed
- test functions
- mutation operator
- multi objective optimization
- optimization methods
- optimisation problems
- genetic algorithm
- hybrid optimization algorithm
- evolution strategy
- combinatorial optimization problems
- fitness function
- traveling salesman problem
- tabu search
- similarity search
- test problems
- pso algorithm
- imperialist competitive algorithm
- knapsack problem
- nsga ii
- cost function
- genetic programming
- benchmark problems
- multiobjective optimization
- particle swarm optimisation
- job shop scheduling problem
- objective function
- initial solution
- global optimization
- genetic algorithm ga
- crossover operator
- search capabilities
- particle swarm optimization algorithm
- machine learning
- fuzzy logic
- search space