An Improved Ant Colony System for Task Scheduling Problem in Heterogeneous Distributed System

2013 ◽  
pp. 83-90 ◽  
Author(s):  
Yan Kang ◽  
Yifan Zhang ◽  
Ying Lin ◽  
He Lu
Keyword(s):  
Distributed System ◽  
Task Scheduling ◽  
Ant Colony ◽  
Ant Colony System ◽  
Scheduling Problem

scholarly journals An ant colony system for solving fuzzy flow shop scheduling problem

2012 ◽  
Vol 1 (2) ◽  
pp. 44 ◽  
Author(s):  
Nasser Shahsavari Pour ◽  
Mohammad hossein Abolhasani Ashkezari ◽  
Hamed Mohammadi Andargoli
Keyword(s):  
Fuzzy Numbers ◽  
Flow Shop ◽  
Ant Colony ◽  
Flow Shop Scheduling ◽  
Process Time ◽  
Ant Colony System ◽  
Scheduling Problem ◽  
Computational Results ◽  
Shop Scheduling ◽  
The Past

During the past years, the flow shop has been regarded by many researchers and some extensive investigations have been done on this respect. Flow Shop includes n works performed on m machines in a same sequence. It is very difficult in the real world to determine the exact process time of an operation on a machine. Therefore, we consider in this article the process time as trapezoidal fuzzy numbers. Our purpose is that we obtain a sequence of works using such fuzzy numbers in order to minimize maximum fuzzy time of completion entire jobs or fuzzy makespan. We offered an optimization algorithm of Ant Colony System (ACS) to solve this problem. Finally, we present computational results for explanation and comparison with other articles in future.

Research on Production Scheduling Problems in Process Industry Based on Ant Colony System

2010 ◽  
Vol 108-111 ◽  
pp. 519-524
Author(s):  
Lie Ping Zhang ◽  
Yun Sheng Zhang
Keyword(s):  
Production Scheduling ◽  
Stochastic Scheduling ◽  
Ant Colony ◽  
Process Industry ◽  
Process Time ◽  
Ant Colony System ◽  
Scheduling Problem ◽  
Scheduling Problems ◽  
Process Step ◽  
Scheduling Model

In order to improve the production of process industry, the ant colony system(ACS) was applied to the production scheduling problem. Based on the analysis of the production scheduling problem for process industry, a production scheduling model was established, whose goal was to obtain the shortest total process time. The search strategy, heuristic information rules, pheromone updating mechanism, process step starting time and detailed algorithm implementation of ACS were discussed. Using a practical production scheduling problem as an example, the established model and designed algorithm were applied to implement the scheduling simulation. The simulation results show that the scheduling model and algorithm are feasible, and have a better scheduling performance than the stochastic scheduling method, and can be applied to solve practical production scheduling problem for process industry.

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