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Tom TKG's Homepage

Doctoral Thesis (Japanese)

Tomoaki Takagi: Pareto Front Estimation for Multi-Objective Decision-Making and Supervised/Unsupervised Multi-Objective Optimization, The University of Electro-Communications, March 2023. DOI{:target="_blank"}.

Journal Papers

  1. Tomoaki Takagi, Keiki Takadama, and Hiroyuki Sato: A Multi-objective Evolutionary Algorithm Using Weight Vector Arrangement Based on Pareto Front Estimation, Transaction of the Japanese Society for Evolutionary Computation (Japanese), Vol. 12, No. 2, pp. 45--60, 2021. DOI{:target="_blank"}, Code{:target="_blank"}. Best Papar Award.
  2. Tomoaki Takagi, Keiki Takadama, and Hiroyuki Sato: Directional Pareto Front and Its Estimation to Encourage Multi-Objective Decision-Making, IEEE Access, Vol. 11, pp. 20619--20634, 2023. DOI{:target="_blank"}.

Conference Papers (First Author)

  1. Tomoaki Takagi, Keiki Takadama, and Hiroyuki Sato: A Distribution Control of Weight Vector Set for Multi-objective Evolutionary Algorithms, Proc. of the Bio-inspired Information and Communication Technologies (BICT2019{:target="_blank"}), Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST), Vol. 289, Springer, Cham, pp. 70--80, 2019. DOI{:target="_blank"}, Code{:target="_blank"}.
  2. Tomoaki Takagi, Keiki Takadama, and Hiroyuki Sato: Incremental Lattice Design of Weight Vector Set, Proc. of ACM Genetic and Evolutionary Computation Conference (GECCO2020{:target="_blank"}), pp. 1486--1494, 2020. DOI{:target="_blank"}, Code{:target="_blank"}.
  3. Tomoaki Takagi, Keiki Takadama, and Hiroyuki Sato: Non-dominated Solution Sampling Using Environmental Selection in EMO algorithms, Proc. of IEEE Congress on Evolutionary Computation (CEC2020{:target="_blank"}), pp. 1--9, 2020. DOI{:target="_blank"}.
  4. Tomoaki Takagi, Keiki Takadama, and Hiroyuki Sato: Pareto Front Estimation Using Unit Hyperplane, Proc. of The 11th Edition of International Conference Series on Evolutionary Multi-Criterion Optimization (EMO2021{:target="_blank"}), Lecture Notes in Computer Science (LNCS), Vol. 12654, Springer, Cham, pp. 126--138, 2021. DOI{:target="_blank"}, Code{:target="_blank"}.
  5. Tomoaki Takagi, Keiki Takadama, and Hiroyuki Sato: Weight Vector Arrangement Using Virtual Objective Vectors in Decomposition-based MOEA, Proc. of IEEE Congress on Evolutionary Computation (CEC2021{:target="_blank"}), pp. 1462--1469, 2021. DOI{:target="_blank"}, Code{:target="_blank"}.
  6. Tomoaki Takagi, Keiki Takadama, and Hiroyuki Sato: Supervised Multi-objective Optimization Algorithm Using Estimation, Proc. of IEEE Congress on Evolutionary Computation (CEC2022{:target="_blank"}), pp. 1--8, 2022. DOI{:target="_blank"}, Code{:target="_blank"}.
  7. Tomoaki Takagi, Keiki Takadama, and Hiroyuki Sato: Pareto Front Upconvert by Iterative Estimation Modeling and Solution Sampling, Proc. of The 12th Edition of International Conference Series on Evolutionary Multi-Criterion Optimization (EMO2023{:target="_blank"}), Lecture Notes in Computer Science (LNCS), Vol. 13970, Springer, Cham, pp. 218--230, 2023. DOI{:target="_blank"}, Code{:target="_blank"}.

Conference Papers (Second Author)

  1. Kensuke Kano, Tomoaki Takagi, Keiki Takadama, and Hiroyuki Sato: Preliminary Study of Adaptive Grid-based Decomposition on Many-objective Evolutionary Optimization, Proc. of ACM Genetic and Evolutionary Computation Conference (GECCO2020), pp. 1373--1380, 2020.
  2. Kohei Yamamoto, Tomoaki Takagi, Keiki Takadama, and Hiroyuki Sato: Visual Mapping of Multi-objective Optimization Problems and Evolutionary Algorithms, Proc. of ACM Genetic and Evolutionary Computation Conference (GECCO2020), pp. 1872--1879, 2020.
  3. Shio Kawakami, Tomoaki Takagi, Keiki Takadama, and Hiroyuki Sato: Distance Minimization Problems for Multi-factorial Evolutionary Optimization Benchmarking, Proc. of The 20th International Conference on Hybrid Intelligent Systems (HIS2020), Advances in Intelligent Systems and Computing, Vol. 1375, Springer, Cham, pp. 710--719, 2020.
  4. Naru Okumura, Tomoaki Takagi, Yoshihiro Ohta, and Hiroyuki Sato: Pareto Front Upconvert on Multi-objective Building Facility Control Optimization, Proc. of ACM Genetic and Evolutionary Computation Conference (GECCO2023), pp. 1963--1971, 2023.

Conference Papers (NO DOI)

  1. Tomoaki Takagi, Keiki Takadama, and Hiroyuki Sato: A Preliminary Study on Weight Vector Distribution Control Based on Intermediate Objective Value, Proc. of 2018 JPNSEC International Workshop on Evolutionary Computation, pp. 20--26, 2018.
  2. Ryo Kumagai, Tomoaki Takagi, Keiki Takadama, and Hiroyuki Sato: A Study on Multi-objective Evolutionary Stage Generation Using MarioGAN, Proc. of The 7th UEC Seminar in ASEAN, 2020 and The 2nd ASEAN-UEC Workshop on Energy and AI, pp. 63--64, 2020. Young Researcher Encouragement Award.
  3. Kensuke Kano, Tomoaki Takagi, Shoichiro Tanaka, Keiki Takadama, and Hiroyuki Sato: Variable Elite Population in Grid-based Multi-objective Evolutionary Optimization, Proc. of The 3rd ASEAN-UEC Workshop on Informatics and Engineering for SDGs, 2 pages, 2021.
  4. Kosuke Kikawada, Tomoaki Takagi, Naru Okumura, Keiki Takadama, and Hiroyuki Sato: A Preliminary Study on Ensemble Pareto Front Estimation, Proc. of The 5th ASEAN-UEC Workshop on Informatics and Engineering, pp. 18--19, 2023.