Iterated Local Search with Linkage Learning
Author:
Affiliation:
1. University of São Paulo, Ribeirão Preto, Brazil
2. Wroclaw University of Science and Technology, Wroclaw, Poland
3. Colorado State University, Fort Collins, USA
4. University of Málaga, Malaga, Spain
Abstract
Funder
Brazil by São Paulo Research Foundation - FAPESP
National Council for Scientific and Technological Development - CNPq
Center for Artificial Intelligence - C4AI
Polish National Science Centre - NCN
PID
EU Horizon 2020 research and innovation programme
Publisher
Association for Computing Machinery (ACM)
Link
https://dl.acm.org/doi/pdf/10.1145/3651165
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3. P. A. N. Bosman, N. H. Luong, and D. Thierens. 2016. Expanding from discrete cartesian to permutation gene-pool optimal mixing evolutionary algorithms. In Proceedings of the Genetic and Evolutionary Computation Conference. 637–644.
4. A memory-based iterated local search algorithm for the multi-depot open vehicle routing problem;Brandão J.;European Journal of Operational Research,2020
5. W. Chen, D. Whitley, R. Tinós, and F. Chicano. 2018. Tunneling between plateaus: Improving on a state-of-the-art MAXSAT solver using partition crossover. In Proceedings of the Genetic and Evolutionary Computation Conference. 921–928.
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