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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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Application and benchmarking of multi-objective evolutionary algorithms on high-dose-rate brachytherapy planning for prostate cancer treatment., , , , and . Swarm Evol. Comput., (2018)Efficient, effective, and insightful tackling of the high-dose-rate brachytherapy treatment planning problem for prostate cancer using evolutionary multi-objective optimization algorithms., , , , , , , and . GECCO (Companion), page 1372-1379. ACM, (2017)Better and faster catheter position optimization in HDR brachytherapy for prostate cancer using multi-objective real-valued GOMEA., , , , , and . GECCO, page 1387-1394. ACM, (2018)Fast and insightful bi-objective optimization for prostate cancer treatment planning with high-dose-rate brachytherapy., , , , , and . Appl. Soft Comput., (2019)Robust Evolutionary Bi-objective Optimization for Prostate Cancer Treatment with High-Dose-Rate Brachytherapy., , , , , and . PPSN (2), volume 12270 of Lecture Notes in Computer Science, page 441-453. Springer, (2020)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)