A novel hybrid algorithm based on particle swarm and ant colony optimization for finding the global minimum.
Mustafa Servet KiranMesut GündüzÖmer Kaan BaykanPublished in: Appl. Math. Comput. (2012)
Keyphrases
- hybrid algorithm
- particle swarm
- ant colony optimization
- global minimum
- simulated annealing
- metaheuristic
- particle swarm optimization
- swarm intelligence
- cost function
- particle swarm algorithm
- premature convergence
- optimization method
- optimisation problems
- hybrid optimization algorithm
- energy function
- genetic algorithm
- energy minimization
- particle swarm optimization pso
- traveling salesman problem
- ant colony optimization algorithm
- global optimum
- combinatorial optimization problems
- aco algorithm
- tabu search
- function optimization
- ant colony algorithm
- nature inspired
- optimization methods
- pso algorithm
- aco algorithms
- optimal solution
- search capabilities
- hybrid particle swarm optimization
- particle swarm optimization algorithm
- differential evolution
- evolutionary algorithm
- solution quality
- benchmark problems
- solution space
- combinatorial optimization
- optimization problems
- multi objective
- artificial ants
- biogeography based optimization
- global optimization
- energy functional
- particle swarm optimisation
- fuzzy logic
- artificial immune system
- search space