An Approach Of Cellular Learning Automata To Job Shop Scheduling Problem
نویسندگان
چکیده
The Job shop scheduling problem (JSSP) is one of the NP-Hard combinatorial optimization problems. During the last four decades, many researches were devoted on this problem. The goal in the problem is to minimize maximum completion time of jobs, known as makespan. This paper addresses an approach to evolve Cellular Learning Automata (CLA) to make it able to solve the JSSP by minimizing the makespan. This approach is applied to several instances of a variety of benchmarks and the experimental results show that it produces nearly optimal solutions, compared with other approaches. All rights reserved
منابع مشابه
A Cellular Learning Automata (CLA) Approach to Job Shop Scheduling Problem
Job shop scheduling problem (JSSP), as one of the NP-Hard combinatorial optimization problems, has attracted the attention of many researchers during the last four decades. The overall purpose regarding this problem is to minimize maximum completion time of jobs, known as makespan. This paper addresses an approach to evolving Cellular Learning Automata (CLA) in order to enable it to solve the J...
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