Hybridization of gravitational search algorithm and biogeography based optimization and its application on grid scheduling problem.
Lavika GoelSunita SinghalSharthak MishraSatyajit MohantyPublished in: IC3 (2016)
Keyphrases
- biogeography based optimization
- gravitational search algorithm
- scheduling problem
- hybrid algorithm
- multi objective
- evolutionary algorithm
- tabu search
- differential evolution
- swarm intelligence
- test functions
- stability analysis
- particle swarm optimization
- multi objective optimization problems
- voronoi diagram
- mutation operator
- optimization methods
- parameter identification
- simulated annealing
- optimization method
- ant colony optimization
- particle swarm optimization pso
- optimization algorithm
- multi objective optimization
- convergence rate
- genetic algorithm
- np hard
- constrained optimization problems
- genetic algorithm ga
- clonal selection algorithm
- optimization problems
- test problems
- pso algorithm
- evolutionary computation
- genetic programming
- job shop scheduling problem
- convergence speed
- particle swarm optimisation
- metaheuristic
- nonlinear systems
- feasible solution
- multi objective evolutionary algorithms
- optimization procedure
- nsga ii
- medial axis
- fitness function
- computational intelligence
- lower bound
- objective function
- artificial intelligence