Estimating the Number of Local Optima in Multimodal Pseudo-Boolean Functions: Validation via Landscapes of Triangles
Author:
Affiliation:
1. Norwegian University of Science and Technology, Trondheim, Norway
2. Carnegie Mellon University, Trondheim, Norway
Funder
Norges Forskningsråd
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3638530.3654156
Reference20 articles.
1. C. Bian, C. Feng, C. Qian, and Y. Yu. 2020. An Efficient Evolutionary Algorithm for Subset Selection with General Cost Constraints. In Proc. AAAI. 3267--3274.
2. R. Caruana and M. Mullin. 2000. Estimating the Number of Local Minima in Big Nasty Search Spaces. (March 2000).
3. A rigorous complexity analysis of the (1+1) evolutionary algorithm for linear functions with Boolean inputs
4. An Evaluation of Methods for Estimating the Number of Local Optima in Combinatorial Optimization Problems
5. H. H. Hoos. 2002. A mixture-model for the behaviour of SLS algorithms for SAT. In Proc. AAAI. 661--667.
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