Effect of hybridizing Biogeography-Based Optimization (BBO) technique with Artificial Immune Algorithm (AIA) and Ant Colony Optimization (ACO).
Poonam V. SavsaniRamdevsinh L. JhalaVimal J. SavsaniPublished in: Appl. Soft Comput. (2014)
Keyphrases
- biogeography based optimization
- ant colony optimization
- hybrid algorithm
- population based optimization
- nature inspired algorithms
- evolutionary algorithm
- clonal selection algorithm
- function optimization
- metaheuristic
- particle swarm optimization
- swarm intelligence
- aco algorithm
- differential evolution
- combinatorial optimization problems
- constrained optimization problems
- ant colony optimization algorithm
- traveling salesman problem
- genetic algorithm ga
- aco algorithms
- voronoi diagram
- genetic algorithm
- optimization method
- particle swarm optimization pso
- global optimization
- nature inspired
- simulated annealing
- initial population
- continuous optimization problems
- particle swarm optimisation
- genetic programming
- artificial immune system
- optimization algorithm
- premature convergence
- constrained optimization
- multi objective
- tabu search
- optimization procedure
- optimization problems
- neural network
- evolutionary computation
- fitness function
- global convergence
- particle swarm
- benchmark problems
- recently developed
- objective function
- artificial intelligence