Particle swarm optimization hybridized with genetic algorithm for uncertain integrated process planning and scheduling with interval processing time
Author:
Funder
Natural Science Foundation of Hubei Province
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
General Engineering,General Computer Science
Reference53 articles.
1. Optimizing the performance of an integrated process planning and scheduling problem: an AIS-FLC based approach;Chan,2006
2. Decision making on the factory floor, An integrated approach to process planning and scheduling;Chryssolouris;Robotics and Computer-Integrated Manufacturing,1984
3. An improved artificial bee colony algorithm for multi-objective flexible job shop scheduling problem with fuzzy processing time;Gao;Expert Systems with Applications,2016
4. Artificial bee colony algorithm for scheduling and rescheduling fuzzy flexible job shop problem with new job insertion;Gao;Knowledge-Based Systems,2016
5. A bi-criteria optimization, minimizing the integral value and spread of the fuzzy makespan of job shop scheduling problems;Ghrayeb;Applied Soft Computing,2003
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