Optimizing one million variable NK landscapes by hybridizing deterministic recombination and local search-Reference-Cited by-同舟云学术

Optimizing one million variable NK landscapes by hybridizing deterministic recombination and local search

Published:2017-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference
language:
Short-container-title:

Author:

Chicano Francisco¹,Whitley Darrell²,Ochoa Gabriela³,Tinós Renato⁴

Affiliation:

1. University of Málaga, Malaga, Spain

2. Colorado State University

3. University of Stirling, Stirling, Scotland, UK

4. University of São Paulo, Ribeirão Preto, São Paulo, Brazil

Funder

Ministerio de Economía y Competitividad

Air Force Office of Scientific Research

Fundação de Amparo à Pesquisa do Estado de São Paulo

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Ministerio de Educación, Cultura y Deporte

Leverhulme Trust

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3071178.3071285

Reference12 articles.

1. Efficient identification of improving moves in a ball for pseudo-boolean problems

2. Gray-Box Optimization using the Parameter-less Population Pyramid

3. Holger H. Hoos and Thomas Stützle. 2004. Stochastic Local Search: Foundations and Applications. Morgan Kaufman. Holger H. Hoos and Thomas Stützle. 2004. Stochastic Local Search: Foundations and Applications . Morgan Kaufman.

4. The NK model of rugged fitness landscapes and its application to maturation of the immune response

Cited by 38 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. Large-scale and cooperative graybox parallel optimization on the supercomputer Fugaku;Journal of Parallel and Distributed Computing;2024-09

2. Iterated Local Search with Linkage Learning;ACM Transactions on Evolutionary Learning and Optimization;2024-06-08

3. Sparse Surrogate Model for Optimization: Example of the Bus Stops Spacing Problem;Lecture Notes in Computer Science;2024

4. Generalizing and Unifying Gray-Box Combinatorial Optimization Operators;Lecture Notes in Computer Science;2024

5. Over Sampling Local Optima: Selection and Sampling Bias in Hybrid Genetic Algorithms;Lecture Notes in Computer Science;2024