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The Local Optima Level in Chemotherapy Schedule Optimisation

Thomson, Sarah L.; Ochoa, Gabriela

Authors

Gabriela Ochoa



Abstract

In this paper a multi-drug Chemotherapy Schedule Optimisation Problem (CSOP) is subject to Local Optima Network (LON) analysis. LONs capture global patterns in fitness landscapes. CSOPs have not previously been subject to fitness landscape analysis. We fill this gap: LONs are constructed and studied for meaningful structure. The CSOP formulation presents novel challenges and questions for the LON model because there are infeasible regions in the fitness landscape and an unknown global optimum; it also brings a topic from healthcare to LON analysis. Two LON Construction algorithms are proposed for sampling CSOP fitness landscapes: a Markov-Chain Construction Algorithm and a Hybrid Construction Algorithm. The results provide new insight into LONs of highly-constrained spaces, and into the proficiency of search operators on the CSOP. Iterated Local Search and Memetic Search, which are the foundations for the LON algorithms, are found to markedly out-perform a Genetic Algorithm from the literature.

Citation

Thomson, S. L., & Ochoa, G. (2020, April). The Local Optima Level in Chemotherapy Schedule Optimisation. Presented at EvoCOP 2020: Evolutionary Computation in Combinatorial Optimization, Seville, Spain

Presentation Conference Type Conference Paper (published)
Conference Name EvoCOP 2020: Evolutionary Computation in Combinatorial Optimization
Start Date Apr 15, 2020
End Date Apr 17, 2020
Online Publication Date Apr 9, 2020
Publication Date 2020
Deposit Date Aug 16, 2023
Publisher Springer
Pages 197-213
Series Title Lecture Notes in Computer Science
Series Number 12102
Book Title Evolutionary Computation in Combinatorial Optimization: 20th European Conference, EvoCOP 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings
ISBN 9783030436797
DOI https://doi.org/10.1007/978-3-030-43680-3_13
Keywords Combinatorial fitness landscapes, Local Optima Networks, Search space analysis
Public URL http://researchrepository.napier.ac.uk/Output/3169648



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