the use of metaheuristic algorithms. Metaheuristics benefit from different random-search and parallelization paradigms … that allows for extending metaheuristics through simulation to solve stochastic COPs. ‘Simheuristics' allow modelers for …-driven framework. These optimization-driven algorithms rely on the fact that efficient metaheuristics already exist for the …

the use of metaheuristic algorithms. Metaheuristics benefit from different random-search and parallelization paradigms … that allows for extending metaheuristics through simulation to solve stochastic COPs. "Simheuristics" allow modelers for …-driven framework. These optimization-driven algorithms rely on the fact that efficient metaheuristics already exist for the …

tests show that our parameter-free algorithm is able to compete with state-of-the-art metaheuristics for the PFSP. Also, the …

tests show that our parameter-free algorithm is able to compete with state-of-the-art metaheuristics for the PFSP. Also, the …