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Adaptive representation for flexible job-shop scheduling and rescheduling

Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009
The flexible job-shop scheduling problem (FJSP) is one of the most popular scheduling problems, due to its relative simplicity, compared to real-world scheduling problems, and its NP-hardness. There are two types of decisions involved in solving FJSP problems: (1) assigning machines to operations, or routing, and (2) assigning a time slot in the ...
Prakarn Unachak, Erik D. Goodman
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Assignment and Scheduling in Flexible Job-Shops by Hierarchical Optimization

IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 2007
In this paper, we propose a new hierarchical method for the flexible job-shop scheduling problem (FJSP). This approach is mainly adapted to a job-shop problem (JSP) with high flexibility and is based on the decomposition of the problem in an assignment subproblem and a sequencing subproblem.
Nozha Zribi   +3 more
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Scheduling jobs and maintenances in flexible job shop with a hybrid genetic algorithm

Journal of Intelligent Manufacturing, 2006
Most flexible job shop scheduling models assume that the machines are available all of the time. However, in most realistic situations, machines may be unavailable due to maintenances, pre-schedules and so on. In this paper, we study the flexible job shop scheduling problem with availability constraints.
Jie Gao 0007, Mitsuo Gen, Linyan Sun
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Heuristic approaches for scheduling jobs in large-scale flexible job shops

Computers & Operations Research, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Oleh Sobeyko, Lars Mönch
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Routing and scheduling in a flexible job shop by tabu search

Annals of Operations Research, 1993
A hierarchical algorithm for the flexible job shop scheduling problem is described, based on the tabu search metaheuristic. Hierarchical strategies have been proposed in the literature for complex scheduling problems, and the tabu search metaheuristic, being able to cope with different memory levels, provides a natural background for the development of
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Multiobjective Flexible Job Shop Scheduling Using Memetic Algorithms

IEEE Transactions on Automation Science and Engineering, 2015
In this paper, we propose new memetic algorithms (MAs) for the multiobjective flexible job shop scheduling problem (MO-FJSP) with the objectives to minimize the makespan, total workload, and critical workload. The problem is addressed in a Pareto manner, which aims to search for a set of Pareto optimal solutions.
Yuan Yuan 0004, Hua Xu 0003
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Genetic algorithm for the flexible job-shop scheduling problem

SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483), 2004
In this paper, we are interested in the multiobjective optimization of the schedule performance in the flexible job shops. The flexible job shop scheduling problem (FJSP) is known in the literature as one of the hardest combinatorial optimization problems and presents many objectives to be optimized.
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Flexible Job-Shop Scheduling Problems

2005
Planning and scheduling problems in various industrial environments are combinatorial and very difficult. Generally, it is extremely hard to solve these types of problems in their general form. Scheduling can be formulated as a problem of determining the best sequence to execute a set of tasks on a set of resources, respecting specific constraints like
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Scheduling complex flexible job shop problems

Proceedings 1995 INRIA/IEEE Symposium on Emerging Technologies and Factory Automation. ETFA'95, 2002
We are developing for some years scheduling softwares for chemical industry. These softwares (developed on C++) are based on heuristics combined with optimisation methods. Our aim is to design a general methodology to cope with a large class of flexible job shop problems.
H. El Maqrini, J. Teghem
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Flexible Job-Shop Scheduling with Changeover Priorities

2022
Holden Milne   +4 more
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