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Exploring trade-offs between target coverage, healthy tissue sparing, and the placement of catheters in HDR brachytherapy for prostate cancer using a novel multi-objective model-based mixed-integer evolutionary algorithm.

, , , , , , , , and . GECCO, page 1224-1231. ACM, (2017)

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Multi-objective gene-pool optimal mixing evolutionary algorithms., , and . GECCO, page 357-364. ACM, (2014)Domain Adaptation in Nested Named Entity Recognition From Scientific Articles in Agriculture., , , , and . SoICT, page 48-55. ACM, (2023)Enhancing Training-Free Multi-Objective Pruning-Based Neural Architecture Search with Low-Cost Local Search., and . RIVF, page 71-76. IEEE, (2023)Heuristics in Permutation GOMEA for Solving the Permutation Flowshop Scheduling Problem., , , and . PPSN (1), volume 11101 of Lecture Notes in Computer Science, page 146-157. Springer, (2018)Expanding from Discrete Cartesian to Permutation Gene-pool Optimal Mixing Evolutionary Algorithms., , and . GECCO, page 637-644. ACM, (2016)Exploiting Linkage Information and Problem-Specific Knowledge in Evolutionary Distribution Network Expansion Planning., , and . GECCO, page 1231-1238. ACM, (2015)Efficient Multi-Objective Neural Architecture Search via Pareto Dominance-based Novelty Search., and . CoRR, (2024)TF-GeneNAS: An evolution-based training-free approach to Neural Architecture Search., , , , , , , , , and . IJCNN, page 1-7. IEEE, (2022)Practice-oriented optimization of distribution network planning using metaheuristic algorithms., , , , , and . PSCC, page 1-8. IEEE, (2014)Entropy-based efficiency enhancement techniques for evolutionary algorithms., , and . Inf. Sci., (2012)