Quality Inspection Scheduling Problem with Adaptive Hybrid Genetic Algorithm
Author:
Affiliation:
1. Zhejiang Electric Power Co., Ltd,State Grid Zhejiang Marketing Service Center,Hangzhou,China
2. Zhejiang University,College of Computer Science and Technology,Hangzhou,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10113858/10114069/10114364.pdf?arnumber=10114364
Reference26 articles.
1. Self-adaptive multi-objective evolutionary algorithm for flexible job shop scheduling with fuzzy processing time
2. Multi-objective optimization for energy-efficient flexible job shop scheduling problem with transportation constraints
3. Merits of using chromosome representations and shadow chromosomes in genetic algorithms for solving scheduling problems
4. Optimising the job-shop scheduling problem using a multi-objective Jaya algorithm
5. Memetic algorithm for solving flexible flow-shop scheduling problems with dynamic transport waiting times
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