A self-adaptive strategy is proposed, evaluating the neighborhoods around the local optimum and adjusting the perturbation strength according to this ...

In this work, a self-adaptive strategy is proposed, evaluating the neighborhoods around the local optimum and adjusting the perturbation strength according to ...

Highlights•A self-adaptive perturbation for iterated local search is developed and found to be effective.•Multi-neighborhood search performance is improved ...

A self-adaptive perturbation for iterated local search is developed and found to be effective.Multi-neighborhood search performance is improved through the ...

In this work, a method is proposed that evaluates the neighborhoods around the local optimum and adjusts the perturbation strength according to this evaluation ...

This work proposes a method that evaluates the neighborhoods around the local optimum and adjusts the perturbation strength according to this evaluation ...

Oct 22, 2024 · A variety of metaheuristics have been developed to solve the permutation flow shop problem minimizing total flow time. Iterated local search ...

In this work, a method is proposed that evaluates the neighborhoods around the local optimum and adjusts the perturbation strength according to this evaluation ...

Iterated Local Search (ILS) is a powerful framework for developing efficient algorithms for the. Permutation Flow Shop Problem (PFSP).

Oct 22, 2024 · This research proposes a revised discrete particle swarm optimization (RDPSO) to solve the permutation flow-shop scheduling problem with the ...