By Topic

Experimental evaluation of an evolutionary scheduling scheme for the job shop scheduling problem

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Ombuki, B.M. ; Dept. of Inf. Eng., Ryukyus Univ., Okinawa, Japan ; Nakamura, M. ; Onaga, K.

Scheduling in a constrained environment is a complex and difficult process. Genetic algorithm (GA) approach has been increasingly used to solve various combinatorial optimization type problems. In this paper, we carry out experiments to investigate a GA based approach to the job shop scheduling problem (JSSP). We propose genetic heuristics to be used in our GA. We evaluate the performance of the proposed approach using well known benchmark instances for the JSSP

Published in:

Knowledge-Based Intelligent Electronic Systems, 1998. Proceedings KES '98. 1998 Second International Conference on  (Volume:3 )

Date of Conference:

21-23 Apr 1998