Agent based models (ABM) have been recently applied to solve optimization problems
whose domains present several inter-related components in a distributed and …

Distributed scheduling (DS) is an approach that enables local decision makers to create
schedules that consider local objectives and constraints within the boundaries of the overall …

This paper addresses the problem of finding robust and stable solutions for the flexible job
shop scheduling problem with random machine breakdowns. A number of bi-objective …

In real-world industrial environments, unplanned events and unforeseen incidents can
happen at any time. Scheduling under uncertainty allows these unexpected disruptions to …

In modern manufacturing systems, a flexible job-shop schedule problem (FJSP) with random
machine breakdown has been widely studied. Two objectives, namely makespan and …

In the real-world situations, uncertain events commonly occur and cause disruption of
normal scheduled activities. Consideration of uncertain events during the scheduling …

The success of cloud computing makes an increasing number of real-time applications such
as signal processing and weather forecasting run in the cloud. Meanwhile, scheduling for …

Role-based approaches are emerging technologies in information system design and
implementation. Roles have been acknowledged and applied in many fields for many years …

The scheduling problem in distributed data-intensive computing environments has become
an active research topic due to the tremendous growth in grid and cloud computing …

In this paper, robust and stable scheduling for a flexible job-shop problem with random
machine breakdowns has been discussed. A two-stage genetic algorithm is used to …