Masoud Abdolzadeh

Learn More
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(More)
Cellular Learning Automata (CLA) is one of the newest optimization methods for solving NP-hard problems. The Job Shop Scheduling Problem (JSSP) is one of these problems. This paper, proposes a new approach for solving the JSSP using CLA with two kinds of actions' set. By generating actions based on received responses from the problem environment,(More)
  • 1