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Download fileGenetic Programming With Niching for Uncertain Capacitated Arc Routing Problem
journal contribution
posted on 2022-05-04, 09:38 authored by Shaolin WangShaolin Wang, Yi MeiYi Mei, Mengjie ZhangMengjie Zhang, X YaoThe uncertain capacitated arc routing problem is an important optimization problem with many real-world applications. Genetic programming is considered a promising hyper-heuristic technique to automatically evolve routing policies that can make effective real-time decisions in an uncertain environment. Most existing research on genetic programming hyper-heuristic for the uncertain capacitated arc routing problem only focused on the test performance aspect. As a result, the routing policies evolved by genetic programming are usually too large and complex, and hard to comprehend. To evolve effective, smaller, and simpler routing policies, this article proposes a novel genetic programming approach, which simplifies the routing policies during the evolutionary process using a niching technique. The simplified routing policies are stored in an external archive. We also developed new elitism, parent selection, and breeding schemes for generating offspring from the original population and the archive. The experimental results show that the newly proposed approach can achieve significantly better test performance than the current state-of-the-art genetic programming algorithms for the uncertain capacitated arc routing problem. The evolved routing policies are smaller, and thus potentially more interpretable.
History
Preferred citation
Wang, S., Mei, Y., Zhang, M. & Yao, X. (2022). Genetic Programming With Niching for Uncertain Capacitated Arc Routing Problem. IEEE Transactions on Evolutionary Computation, 26(1), 73-87. https://doi.org/10.1109/TEVC.2021.3095261Publisher DOI
Journal title
IEEE Transactions on Evolutionary ComputationVolume
26Issue
1Publication date
2022-02-01Pagination
73-87Publisher
Institute of Electrical and Electronics Engineers (IEEE)Publication status
PublishedISSN
1089-778XeISSN
1941-0026Usage metrics
Categories
Keywords
RoutingTask analysisOptimizationStatisticsSociologyGenetic programmingVehicle dynamicsCapacitated arc routinggenetic programminghyper-heuristicprogram simplificationstochastic optimizationGeneticsArtificial Intelligence & Image ProcessingInformation SystemsArtificial Intelligence and Image ProcessingElectrical and Electronic Engineering not elsewhere classified