A Computational Comparison of Three Nature-Inspired, Population-Based Metaheuristic Algorithms for Modelling-to-Generate Alternatives.
Julian Scott YeomansPublished in: Int. J. Oper. Res. Inf. Syst. (2023)
Keyphrases
- nature inspired
- metaheuristic algorithms
- ant colony optimization
- metaheuristic
- particle swarm optimization
- simulated annealing
- swarm intelligence
- combinatorial optimization
- path relinking
- combinatorial optimization problems
- traveling salesman problem
- ant colony optimization algorithm
- tabu search
- pso algorithm
- genetic algorithm
- variable neighborhood search
- artificial bee colony
- optimal solution
- scatter search
- differential evolution
- optimization problems
- multi objective
- aco algorithm
- benchmark instances
- search space
- collective intelligence
- mathematical programming
- evolutionary computation
- portfolio management
- linear programming
- decision making