During last decades, developing multi-objective evolutionary algorithms for optimization problems has found considerable attention. Flexible job shop scheduling problem, as an important scheduling optimization problem, has found this attention too. However, most of the multi-objective algorithms that are developed for this problem use nonprofessional approaches. In another words, most of them c...

This paper deals with the cyclic scheduling of flexible job-shop with time window constraints and resource capacity constraints. For time window constraints, the duration for processing products on machines and the duration for translating products from one machine to another by transfers are taken into account; for the resource capacity constraints, the confined operation space of machines and...

Pressured by the growing need for fast response times, mass customization, and globalization, many organizations are turning to flexible organizational forms, such as virtual teams. Virtual teams consist of cooperative relationships supported by information technology to overcome limitations of time and/or location. Virtual teams require their members to rely heavily on the use of information t...

We propose the new framework of the distributed tabu search metaheuristic designed to be executed using a multi-GPU cluster, i.e. cluster of nodes equipped with GPU computing units. We propose a hybrid single-walk parallelization of the tabu search, where hybridization consists in examining a number of solutions from a neighborhood concurrently by several GPUs (multi-GPU). The methodology is de...

This paper focuses on single machine scheduling subject to machine deterioration. The current maintenance state of the machine is determined by a maintenance level. While jobs are processed this maintenance level drops by a certain, possibly job-dependent, amount. A maintenance level of less than zero is associated with the machine’s breakdown and is therefore forbidden. Consequently, schedule ...

A parallel approach to flexible job shop scheduling problem is presented in this paper. We propose two double-level parallel metaheuristic algorithms based on the new method of the neighborhood determination. Algorithms proposed here include two major modules: the machine selection module refer to executed sequentially, and the operation scheduling module executed in parallel. On each level a m...

In manufacturing area, the most difficult problems related to the time-efficiency frequently occur if the jobs to be scheduled are heterogeneous, if there are alternative routes on the machines for the jobs and multiple objectives are imposed. This framework, named Multi-Objective Flexible Job Shop Scheduling Problems (MOFJSSP), has been formalized, modeled and studied in the last decades from ...