Paper Title:
Research of Multi-Objective Optimization Study for Job Shop Scheduling Problem Based on Grey Ant Colony Algorithm
  Abstract

In order to resolve Multi-objective job shop scheduling problem, an optimization method of many goals scheduling based on grey relation theory and ant colony algorithm is proposed. Firstly, this paper introduces the relevant mathematical theory. AHP and Grey relational analysis, and they are combined to solve the choice of pre-processing equipment under the multi-objective conditions. What's more, ant colony algorithm is discussed to solve problem of processing order for machine. The effectiveness of multi-objective algorithm for job shop scheduling problem is verified through applying example.

  Info
Periodical
Advanced Materials Research (Volumes 308-310)
Chapter
Intelligent Optimization Design
Edited by
Jian Gao
Pages
1033-1036
DOI
10.4028/www.scientific.net/AMR.308-310.1033
Citation
Y. D. Fang, F. Wang, H. Wang, "Research of Multi-Objective Optimization Study for Job Shop Scheduling Problem Based on Grey Ant Colony Algorithm", Advanced Materials Research, Vols. 308-310, pp. 1033-1036, 2011
Online since
August 2011
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Price
$32.00
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