An Adaptive Scheduling Algorithm for Dynamic Jobs for Dealing with the Flexible Job Shop Scheduling Problem
نویسندگان
چکیده
منابع مشابه
An algorithm for multi-objective job shop scheduling problem
Scheduling for job shop is very important in both fields of production management and combinatorial op-timization. However, it is quite difficult to achieve an optimal solution to this problem with traditional opti-mization approaches owing to the high computational complexity. The combination of several optimization criteria induces additional complexity and new problems. In this paper, we pro...
متن کاملan algorithm for multi-objective job shop scheduling problem
scheduling for job shop is very important in both fields of production management and combinatorial op-timization. however, it is quite difficult to achieve an optimal solution to this problem with traditional opti-mization approaches owing to the high computational complexity. the combination of several optimization criteria induces additional complexity and new problems. in this paper, we pro...
متن کاملAn Algorithm of scheduling for the Job Shop Scheduling Problem
This paper presents an algorithm that applies a new mechanism in order to generate scheduling which allows for evaluation of the quality of solutions that are obtained in the Job Shop Scheduling Problem (JSSP). In this research, the quality of the solution is evaluated by using the makespan as an objective function. It is demonstrated experimentally that the proposed algorithm has better effici...
متن کاملGenetic algorithm for the flexible job-shop scheduling problem
In this paper, we propose a new optimization technique, the hierarchical multi-space competitive distributed genetic algorithm (HmcDGA), which is effective for the hierarchical optimization problem. It is an extension of the multi-space competitive distributed genetic algorithm (mcDGA), which was proposed by the authors. The mcDGA efficiently finds an optimal solution with a low computational c...
متن کاملSingle Objective Evolutionary Algorithm for Flexible Job-shop Scheduling Problem
A meta-heuristic approach for solving the flexible job-shop scheduling problem (FJSP) is presented in this study. This problem consists of two sub-problems, the routing problem and the sequencing problem and is among the hardest combinatorial optimization problems. We propose a Evolutionary Algorithm (EA) for the FJSP. Our algorithm uses several different rules for generating the initial popula...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Business & Information Systems Engineering
سال: 2019
ISSN: 2363-7005,1867-0202
DOI: 10.1007/s12599-019-00590-7