A local search based restart evolutionary algorithm for finding triple product property triples
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
http://link.springer.com/article/10.1007/s10489-017-1118-6/fulltext.html
Reference31 articles.
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2. Auger A, Hansen N (2005) A restart cma evolution strategy with increasing population size. In: Proceedings of IEEE congress on evolutionary computation, vol 2, pp 1769–1776
3. Bini D, Capovani M, Romani F, Lotti G (1979) O(n 2.7799) complexity for n × n approximate matrix multiplication. Inf Process Lett 8(5):234–235
4. Cohn H, Umans C (2003) A group-theoretic approach to fast matrix multiplication. In: 44th annual IEEE symposium on foundations of computer science, 2003. Proceedings, pp 438–449
5. Coppersmith D, Winograd S (1982) On the asymptotic complexity of matrix multiplication. SIAM J Comput 11(3):472–492
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Which Local Search Operator Works Best for the Open-Loop TSP?;Applied Sciences;2019-09-23
2. Towards efficiently searching triple product property triples: Deterministic and randomized algorithms;Applied Soft Computing;2019-02
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