A hybrid particle swarm approach based on Tribes and tabu search for multi-objective optimization.
Nadia SmairiPatrick SiarryKhaled GhédiraPublished in: Optim. Methods Softw. (2016)
Keyphrases
- particle swarm
- multi objective optimization
- tabu search
- multi objective
- evolutionary algorithm
- simulated annealing
- genetic algorithm
- simulated annealing and tabu search
- hybrid optimization algorithm
- metaheuristic
- particle swarm optimization
- differential evolution
- hybrid algorithm
- optimization method
- nsga ii
- test problems
- optimisation problems
- optimization algorithm
- path relinking
- feasible solution
- optimization problems
- premature convergence
- fitness function
- pareto optimal
- multiple objectives
- memetic algorithm
- scatter search
- pso algorithm
- optimization methods
- evolutionary computation
- vehicle routing problem
- heuristic methods
- search procedure
- job shop scheduling problem
- scheduling problem
- mutation operator
- multi objective optimization problems
- tabu search algorithm
- initial solution
- objective function
- benchmark instances
- quadratic assignment problem
- particle swarm optimization algorithm
- iterated local search
- multiobjective optimization
- particle swarm optimization pso
- benchmark problems
- genetic programming
- convergence speed
- search algorithm
- solution space
- swarm intelligence
- combinatorial optimization
- genetic algorithm ga
- solution quality
- global optimization
- particle swarm optimisation
- special case
- neural network
- routing problem
- ant colony optimization
- variable neighborhood search
- evolutionary strategy
- crossover operator