Multistage multiprocessor task scheduling in hybrid flow shop problems using discrete firefly algorithm

2016 ◽  
Vol 8 (4) ◽  
pp. 377
Author(s):  
B.S.E. Zoraida ◽  
A. Delphin Carolina Rani
Keyword(s):  
Task Scheduling ◽  
Firefly Algorithm ◽  
Flow Shop ◽  
Hybrid Flow Shop ◽  
Multiprocessor Task Scheduling ◽  
Discrete Firefly Algorithm

scholarly journals Energy-Aware Scheduling in Hybrid Flow Shop Using Firefly Algorithm

2021 ◽  
Vol 22 (1) ◽  
pp. 18-30
Author(s):  
Ahmed Nedal Abid Al Kareem Jabari ◽  
Afif Hasan
Keyword(s):  
Energy Consumption ◽  
Total Energy ◽  
Firefly Algorithm ◽  
Flow Shop ◽  
High Energy ◽  
Industrial Sector ◽  
Flow Shop Scheduling ◽  
Hybrid Flow Shop ◽  
Shop Scheduling ◽  
Hybrid Flow Shop Scheduling

Nowadays, the industrial sector takes up a significant portion of the world's total energy consumption. This sector is responsible for half of the total energy consumed in the world. Therefore, efficiency in the industrial sector becomes an essential issue. One of the main factors triggering the high energy consumption in this sector is that many machines are left idle. Idle machines during the manufacturing process require electricity and other energies. This research aimed to develop a firefly algorithm that can minimize the energy consumption in the hybrid flow shop scheduling problem. This algorithm is used to determine the optimum order of the jobs. The ultimate goal is to minimize energy consumption. The experiment on the algorithm was conducted by employing iteration and population variations. The research results show that population and iteration affect the quality of the hybrid flow shop scheduling solution.

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