Metaheuristic-Boltzmannian optimization model: A new methodology for convergence using the Jensen-Shannon metric in continuous optimization problems.
Juan de Anda-SuárezValentín Calzada-LedesmaLucero Ortiz-AguilarPublished in: Swarm Evol. Comput. (2022)
Keyphrases
- metaheuristic
- optimization model
- continuous optimization problems
- combinatorial optimization problems
- optimization problems
- jensen shannon
- continuous optimization
- ant colony optimization
- optimization process
- tabu search
- combinatorial optimization
- optimization method
- simulated annealing
- evolutionary algorithm
- search space
- vehicle routing problem
- genetic algorithm
- aco algorithms
- particle swarm optimization
- jensen shannon divergence
- benchmark instances
- optimal solution
- knapsack problem
- benchmark problems
- optimization methods
- traveling salesman problem
- objective function
- cost function
- swarm intelligence
- markov random field
- differential evolution
- information theoretic
- distance function
- feature selection