Solving Multiobjective Fuzzy Job-Shop Scheduling Problem by a Hybrid Adaptive Differential Evolution Algorithm
Author:
Affiliation:
1. Department of Computer Science and Technology, Ocean University of China, Qingdao, China
2. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/9906876/09751346.pdf?arnumber=9751346
Reference35 articles.
1. Benchmarks for fuzzy job shop problems
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3. A New Hybrid Particle Swarm Optimization and Genetic Algorithm Method Controlled by Fuzzy Logic
4. Regression-Based Neuro-Fuzzy Network Trained by ABC Algorithm for High-Density Impulse Noise Elimination
5. An efficient genetic algorithm for job-shop scheduling problems with fuzzy processing time and fuzzy duedate
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