Tunably Rugged Landscapes With Known Maximum and Minimum-Reference-Cited by-同舟云学术

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Tunably Rugged Landscapes With Known Maximum and Minimum

Published:2016-04 Issue:2 Volume:20 Page:263-274
ISSN:1089-778X
Container-title:IEEE Transactions on Evolutionary Computation
language:
Short-container-title:IEEE Trans. Evol. Computat.

Author:

Manukyan Narine,Eppstein Margaret J.,Buzas Jeffrey S.

Funder

National Institutes of Health Eunice Kennedy Shriver National Institute of Child Health and Human Development Award

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

http://xplorestaging.ieee.org/ielx7/4235/7442915/7153550.pdf?arnumber=7153550

Cited by 6 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. Product development team formation: effects of organizational- and product-related factors;Computational and Mathematical Organization Theory;2019-11-20

2. On constructing alternative benchmark suite for evolutionary algorithms;Swarm and Evolutionary Computation;2019-02

3. A kind of epistasis‐tunable test functions for genetic algorithms;Concurrency and Computation: Practice and Experience;2018-11-13

4. Universality Classes of Interaction Structures for NK Fitness Landscapes;Journal of Statistical Physics;2018-02-13

5. Quantifying Variable Interactions in Continuous Optimization Problems;IEEE Transactions on Evolutionary Computation;2017-04

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