Symmetry Parallel Search Strategy For Permutation-related Optimization Problems
Author:
Affiliation:
1. National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Shenyang, China
2. Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, China
Funder
Major Program of National Natural Science Foundation of China
National Natural Science Foundation of China
111 Project of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3638530.3654204
Reference13 articles.
1. John D Dixon and Brian Mortimer. 1996. Permutation groups. Vol. 163. Springer Science & Business Media.
2. Scheduling of Continuous Annealing With a Multi-Objective Differential Evolution Algorithm Based on Deep Reinforcement Learning
3. Learning-based multi-objective evolutionary algorithm for batching decision problem
4. Fast local search for single row facility layout
5. Single row facility layout using multi-start simulated annealing
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