Research on Multi-objective Flexible Job Shop Scheduling Problem Based on Improved Non-Dominated Sorting Genetic Algorithm Algorithm
Author:
Affiliation:
1. Chongqing University of Posts and Telecommunications,The School of Advanced Manufacturing Engineering,Chongqing,China
2. University of Posts and Telecommunications,The Library of Chongqing,Chongqing,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10498130/10498125/10498321.pdf?arnumber=10498321
Reference14 articles.
1. Improved particle swarm optimization algorithm based novel encoding and decoding schemes for flexible job shop scheduling problem
2. An Improved Genetic Algorithm with Adaptive Variable Neighborhood Search for FJSP
3. Modified Migrating Birds Optimization for Energy-Aware Flexible Job Shop Scheduling Problem
4. Energy-efficient flexible flow shop scheduling with worker flexibility
5. Improved African buffalo optimization algorithm for the green flexible job shop scheduling problem considering energy consumption
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