A Comparative Study of Four Metaheuristic Algorithms, AMOSA, MOABC, MSPSO, and NSGA-II for Evacuation Planning.
Olive NiyomubyeyiTome Eduardo SicuaioJosé Ignacio Díaz GonzálezPetter PilesjöAli MansourianPublished in: Algorithms (2020)
Keyphrases
- nsga ii
- metaheuristic algorithms
- multi objective
- metaheuristic
- optimization problems
- test problems
- benchmark problems
- ant colony optimization
- evolutionary algorithm
- multi objective optimization
- multiobjective optimization
- pareto optimal
- test functions
- multiobjective evolutionary algorithm
- optimal solution
- scatter search
- optimization algorithm
- genetic algorithm
- multi objective differential evolution
- tabu search
- mutation operator
- objective function
- bi objective
- particle swarm optimization
- evolutionary multiobjective optimization
- constrained multi objective optimization problems
- variable neighborhood search
- crossover operator
- evolutionary multiobjective
- multiple objectives
- simulated annealing
- cost function
- vehicle routing problem
- swarm intelligence
- fitness function
- combinatorial optimization problems
- knapsack problem
- upper bound
- particle swarm optimisation
- combinatorial optimization
- traveling salesman problem
- benchmark instances
- evolutionary computation
- differential evolution