Improved genetic-simulated annealing algorithm for seru loading problem with downward substitution under stochastic environment
Author:
Affiliation:
1. Nanjing University of Science and Technology, Nanjing, P. R. China
2. Doshisha University, Kyoto, Japan
Funder
National Natural Science Foundation of China
Natural Science Foundation of Jiangsu Province
the Fundamental Research Funds for the Central Universities
Publisher
Informa UK Limited
Subject
Marketing,Management Science and Operations Research,Strategy and Management,Management Information Systems
Link
https://www.tandfonline.com/doi/pdf/10.1080/01605682.2021.1939172
Reference42 articles.
1. A novel multi-parent order crossover in genetic algorithm for combinatorial optimization problems
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