Towards population-based fitness landscape analysis using local optima networks
Author:
Affiliation:
1. University of Exeter, United Kingdom
Funder
EPSRC
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3449726.3463170
Reference32 articles.
1. Local optima networks for continuous fitness landscapes
2. Digital clocks: simple Boolean models can quantitatively describe circadian systems
3. A review of population-based meta-heuristic algorithms;Beheshti Z.;Int. J. Adv. Soft Comput. Appl,2013
4. Local optima networks and the performance of iterated local search
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. Exploring the Uncertainty of Approximated Fitness Landscapes via Gaussian Process Realisations;2023 IEEE Symposium Series on Computational Intelligence (SSCI);2023-12-05
2. Randomness in Local Optima Network Sampling;Proceedings of the Companion Conference on Genetic and Evolutionary Computation;2023-07-15
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