Mathematical Statement and Solution of Enterprise Equipment Maintenance and Repair Scheduling Problem
Author:
Affiliation:
1. Bauman Moscow State Technical University,Moscow,Russian Federation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9731097/9731358/09731420.pdf?arnumber=9731420
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1. A self-adapting genetic algorithm for project scheduling under resource constraints
2. Multi-strategy parallel genetic algorithm based on machine learning;zhang;Computer Integrated Manufacturing Systems CIMS,2021
3. Efficient Framework for Genetic Algorithm-Based Correlation Power Analysis
4. Optimization Method for Artificial Phase Sequence Based on Load Forecasting and Non-dominated Sorting Genetic Algorithm;han;Automation of Electric Power Systems,2020
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