In this paper, an effective estimation of distribution algorithm (EDA) is proposed to solve the
distributed permutation flow-shop scheduling problem (DPFSP). First, the earliest …

The aim of this paper is two-fold. First, we introduce a novel general estimation of distribution
algorithm to deal with permutation-based optimization problems. The algorithm is based on …

Influenced by the economic globalization, the distributed manufacturing has been a common
production mode. This paper considers a multiobjective distributed no-wait flow-shop …

As the research interest in distributed scheduling is growing, distributed permutation
flowshop scheduling problems (DPFSPs) have recently attracted an increasing attention …

Efficient allocating and scheduling emergency rescue tasks are a primary issue for
emergency management. This paper considers emergency scheduling of rescue tasks …

This paper proposes a reentrant hybrid flow shop scheduling problem where inspection and
repair operations are carried out as soon as a layer has completed fabrication. Firstly, a …

Echo state network belongs to a kind of recurrent neural networks that have been
extensively employed to model time-series datasets. The function of reservoir in echo state …

The permutation flow shop scheduling problem (PFSSP) is one of the most widely studied
production scheduling problems and a typical NP-hard combinatorial optimization problems …

This study considers a hybrid assembly-differentiation flowshop scheduling problem
(HADFSP), in which there are three production stages, including components …

In this paper, a novel evolutionary algorithm is applied to tackle job-shop scheduling tasks in
manufacturing environments. Specifically, a modified micro genetic algorithm (MmGA) is …