{"id":927,"date":"2021-10-15T12:04:01","date_gmt":"2021-10-15T03:04:01","guid":{"rendered":"http:\/\/nic.lab.uec.ac.jp\/?page_id=927"},"modified":"2023-08-17T17:30:20","modified_gmt":"2023-08-17T08:30:20","slug":"tomoakitakagi","status":"publish","type":"page","link":"https:\/\/nic.lab.uec.ac.jp\/index.php\/tomoakitakagi\/","title":{"rendered":"\u9ad8\u6728 \u667a\u7ae0"},"content":{"rendered":"\n

\u5916\u90e8\u30ea\u30f3\u30af<\/a><\/h2>\n\n\n\n

Home Page<\/a>, GitHub<\/a>, Google Scholar<\/a>, DBLP<\/a>, ORCID<\/a>, Publons<\/a>, Semantic Scholar<\/a>, IEEE<\/a>.<\/p>\n\n\n\n

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  1. \u9ad8\u6728 \u667a\u7ae0, \u9ad8\u7389 \u572d\u6a39, \u4f50\u85e4 \u5bdb\u4e4b, “\u63a8\u5b9a\u30d1\u30ec\u30fc\u30c8\u30d5\u30ed\u30f3\u30c8\u306b\u57fa\u3065\u3044\u3066\u91cd\u307f\u30d9\u30af\u30c8\u30eb\u7fa4\u3092\u914d\u7f6e\u3059\u308b\u591a\u76ee\u7684\u9032\u5316\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0,” \u9032\u5316\u8a08\u7b97\u5b66\u4f1a\u8ad6\u6587\u8a8c, 12\u5dfb, 2\u53f7, pp. 45–60, 2021. Code<\/a><\/li>\n\n\n\n
  2. Tomoaki Takagi, Keiki Takadama and Hiroyuki Sato, “Directional Pareto Front and Its Estimation to Encourage Multi-Objective Decision-Making,” in IEEE Access<\/em>, Vol. 11, pp. 20619-20634, 2023, doi: 10.1109\/ACCESS.2023.3250238.<\/li>\n<\/ol>\n\n\n\n

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    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.<\/li>\n\n\n\n
    2. 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 (BICT 2019), Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST), Vol 289, Springer, Cham, pp. 70–80, 2019. Code<\/a><\/li>\n\n\n\n
    3. Tomoaki Takagi, Keiki Takadama, and Hiroyuki Sato, “Non-dominated Solution Sampling Using Environmental Selection in EMO algorithms,” Proc. 2020 IEEE Congress on Evolutionary Computation (CEC 2020), pp. 1–9, 2020.<\/li>\n\n\n\n
    4. Kensuke Kano, Tomoaki Takagi, Keiki Takadama, and Hiroyuki Sato, “Preliminary Study of Adaptive Grid-based Decomposition on Many-objective Evolutionary Optimization,” Workshop on Evolutionary Many-objective Optimization, 2020 Genetic and Evolutionary Computation Conference (GECCO 2020), pp. 1373–1380, 2020.<\/li>\n\n\n\n
    5. Tomoaki Takagi, Keiki Takadama, and Hiroyuki Sato, “Incremental Lattice Design of Weight Vector Set,” Workshop on Decomposition Techniques in Evolutionary Optimization, 2020 Genetic and Evolutionary Computation Conference (GECCO 2020), pp. 1486–1494, 2020. Code<\/a><\/li>\n\n\n\n
    6. Kohei Yamamoto, Tomoaki Takagi, Keiki Takadama, and Hiroyuki Sato, “Visual Mapping of Multi-objective Optimization Problems and Evolutionary Algorithms,” Workshop on Visualisation Methods in Genetic and Evolutionary Computation, 2020 Genetic and Evolutionary Computation Conference (GECCO 2020), pp. 1872–1879, 2020.<\/li>\n\n\n\n
    7. Ryo Kumagai, Tomoaki Takagi, Keiki Takadama, and Hiroyuki Sato, “A Study on Multi-objective Evolutionary Stage Generation Using MarioGAN,” The 7th UEC Seminar in ASEAN, 2020 and The 2nd ASEAN-UEC Workshop on Energy and AI, pp. 63–64, 2020.<\/li>\n\n\n\n
    8. Shio Kawakami, Tomoaki Takagi, Keiki Takadama, and Hiroyuki Sato, “Distance Minimization Problems for Multi-factorial Evolutionary Optimization Benchmarking,” The 12th World Congress on Nature and Biologically Inspired Computing (NaBIC 2020), pp. 710–719, 2020.<\/li>\n\n\n\n
    9. Tomoaki Takagi, Keiki Takadama, and Hiroyuki Sato, “Pareto Front Estimation Using Distance from Unit Hyperplane,” the 11th Edition of International Conference Series on Evolutionary Multi-Criterion Optimization (EMO 2021), pp. 126–138, 2021.<\/li>\n\n\n\n
    10. Tomoaki Takagi, Keiki Takadama, and Hiroyuki Sato, “Weight Vector Arrangement Using Virtual Objective Vectors in Decomposition-based MOEA,” Proc. 2021 IEEE Congress on Evolutionary Computation (CEC 2021), pp. 1462–1649, 2021. Code<\/a><\/li>\n\n\n\n
    11. Kensuke Kano, Tomoaki Takagi, Shoichiro Tanaka, Keiki Takadama, and Hiroyuki Sato, “Variable Elite Population in Grid-based Multi-objective Evolutionary Optimization,” The 3rd ASEAN-UEC Workshop on Informatics and Engineering for SDGs, pp. 1-2, 2021.<\/li>\n\n\n\n
    12. Tomoaki Takagi, Keiki Takadama, and Hiroyuki Sato, “Supervised Multi-objective Optimization Algorithm Using Estimation,” 2022 IEEE World Congress on Computational Intelligence (WCCI 2022), pp. 1–8, 2022. Code<\/a><\/li>\n\n\n\n
    13. Tomoaki Takagi, Keiki Takadama, and Hiroyuki Sato, \u201cPareto Front Upconvert by Iterative Estimation Modeling and Solution Sampling,\u201d the 12th Edition of International Conference Series on Evolutionary Multi-Criterion Optimization (EMO 2023), 2023.<\/li>\n\n\n\n
    14. Naru Okumura, Tomoaki Takagi, Yoshihiro Ohta, and Hiroyuki Sato, “Pareto Front Upconvert on Multi-objective Building Facility Control Optimization,” The 8th Workshop on Industrial Applications of Metaheuristics at The Genetic and Evolutionary Computation Conference (GECCO2023)\u00a0, 2023.<\/li>\n\n\n\n
    15. Kosuke Kikawada, Tomoaki Takagi, Naru Okumura, Keiki Takadama, and Hiroyuki Sato, “A Preliminary Study on Ensemble Pareto Front Estimation,” The 5th ASEAN-UEC Workshop on Informatics and Engineering, 2pages, 2023.<\/li>\n<\/ol>\n\n\n\n

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      \u56fd\u5185\u5b66\u4f1a\u8ad6\u6587<\/a><\/h2>\n\n\n\n
        \n
      1. \u9ad8\u6728\u667a\u7ae0, \u9ad9\u7389\u572d\u6a39, \u4f50\u85e4\u5bdb\u4e4b, “\u591a\u76ee\u7684\u9032\u5316\u8a08\u7b97\u306b\u304a\u3051\u308b\u91cd\u307f\u30d9\u30af\u30c8\u30eb\u306e\u5206\u5e03\u306b\u95a2\u3059\u308b\u57fa\u790e\u691c\u8a0e,” \u7b2c28\u56de\u30a4\u30f3\u30c6\u30ea\u30b8\u30a7\u30f3\u30c8\u30fb\u30b7\u30b9\u30c6\u30e0\u30fb\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0, pp. 165–170, 2018.<\/li>\n\n\n\n
      2. \u9ad8\u6728\u667a\u7ae0, \u9ad9\u7389\u572d\u6a39, \u4f50\u85e4\u5bdb\u4e4b, “\u5206\u89e3\u306b\u57fa\u3065\u304f\u591a\u76ee\u7684\u9032\u5316\u8a08\u7b97\u306b\u304a\u3051\u308b\u91cd\u307f\u30d9\u30af\u30c8\u30eb\u7fa4\u306e\u5206\u5e03\u5236\u5fa1\u306b\u95a2\u3059\u308b\u691c\u8a0e,” \u9032\u5316\u8a08\u7b97\u30b7\u30f3\u30dd\u30b8\u30a6\u30e02018, pp. 160–167, 2018.<\/li>\n\n\n\n
      3. \u9ad8\u6728\u667a\u7ae0, \u9ad9\u7389 \u572d\u6a39, \u4f50\u85e4 \u5bdb\u4e4b, “\u591a\u76ee\u7684\u6700\u9069\u5316\u554f\u984c\u306e\u76ee\u7684\u95a2\u6570\u7a7a\u9593\u306b\u304a\u3051\u308b\u89e3\u306e\u5b58\u5728\u57df\u306b\u95a2\u3059\u308b\u5206\u6790,” \u7b2c15\u56de\u9032\u5316\u8a08\u7b97\u5b66\u4f1a\u7814\u7a76\u4f1a, pp. 42–47, 2019.<\/li>\n\n\n\n
      4. \u9ad8\u6728\u667a\u7ae0, \u9ad9\u7389 \u572d\u6a39, \u4f50\u85e4 \u5bdb\u4e4b, “\u91cd\u307f\u30d9\u30af\u30c8\u30eb\u306e\u90e8\u5206\u96c6\u5408\u9078\u629e\u306b\u3088\u308b\u9032\u5316\u578b\u591a\u76ee\u7684\u6700\u9069\u5316\u306b\u95a2\u3059\u308b\u57fa\u790e\u691c\u8a0e,” \u96fb\u5b50\u30fb\u60c5\u5831\u30fb\u30b7\u30b9\u30c6\u30e0\u90e8\u9580\u5927\u4f1a, \u96fb\u6c17\u5b66\u4f1a, pp. 1060–1065, 2019.<\/li>\n\n\n\n
      5. \u9ad8\u6728\u667a\u7ae0, \u9ad9\u7389 \u572d\u6a39, \u4f50\u85e4 \u5bdb\u4e4b, “\u9032\u5316\u8a08\u7b97\u306b\u3088\u308b\u591a\u76ee\u7684\u6700\u9069\u5316\u306b\u304a\u3051\u308b \u91cd\u307f\u30d9\u30af\u30c8\u30eb\u7fa4\u306e\u9069\u5fdc\u914d\u7f6e\u306b\u95a2\u3059\u308b\u57fa\u790e\u691c\u8a0e,” \u7b2c16\u56de\u9032\u5316\u8a08\u7b97\u5b66\u4f1a\u7814\u7a76\u4f1a, pp. 28–32, 2019.<\/li>\n\n\n\n
      6. \u9ad8\u6728\u667a\u7ae0, \u9ad9\u7389\u572d\u6a39, \u4f50\u85e4\u5bdb\u4e4b, “\u975e\u52a3\u89e3\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u306e\u305f\u3081\u306e\u591a\u76ee\u7684\u9032\u5316\u8a08\u7b97\u306b\u304a\u3051\u308b\u74b0\u5883\u9078\u629e\u6cd5\u306e\u6bd4\u8f03\u8a55\u4fa1,” \u9032\u5316\u8a08\u7b97\u30b7\u30f3\u30dd\u30b8\u30a6\u30e02019, pp. 143-151, 2019.<\/li>\n\n\n\n
      7. \u52a0\u7d0d\u8b19\u4ecb, \u9ad8\u6728\u667a\u7ae0, \u9ad9\u7389\u572d\u6a39, \u4f50\u85e4\u5bdb\u4e4b, “\u683c\u5b50\u578b\u591a\u6570\u76ee\u7684\u9032\u5316\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u304a\u3051\u308b\u5206\u89e3\u7c92\u5ea6\u306e\u9069\u5fdc\u7684\u6c7a\u5b9a\u306b\u95a2\u3059\u308b\u691c\u8a0e,” \u9032\u5316\u8a08\u7b97\u30b7\u30f3\u30dd\u30b8\u30a6\u30e02019, pp. 201–205, 2019.<\/li>\n\n\n\n
      8. \u5c71\u672c\u5eb7\u5e73, \u9ad8\u6728\u667a\u7ae0, \u9ad9\u7389\u572d\u6a39, \u4f50\u85e4\u5bdb\u4e4b, “\u591a\u76ee\u7684\u6700\u9069\u5316\u306e\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u554f\u984c\u30de\u30c3\u30d7\u3068\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u30de\u30c3\u30d7\u306b\u95a2\u3059\u308b\u691c\u8a0e,” \u9032\u5316\u8a08\u7b97\u30b7\u30f3\u30dd\u30b8\u30a6\u30e02019, pp. 264–268, 2019.<\/li>\n\n\n\n
      9. \u5ddd\u4e0a\u7d2b\u592e, \u9ad8\u6728\u667a\u7ae0, \u9ad9\u7389\u572d\u6a39, \u4f50\u85e4\u5bdb\u4e4b, “\u591a\u56e0\u5b50\u8ddd\u96e2\u6700\u5c0f\u5316\u554f\u984c\u306b\u304a\u3051\u308b\u9032\u5316\u8a08\u7b97\u306e\u6027\u80fd\u6bd4\u8f03,” \u9032\u5316\u8a08\u7b97\u30b7\u30f3\u30dd\u30b8\u30a6\u30e02019, pp. 278–283, 2019.<\/li>\n\n\n\n
      10. \u4e09\u597d\u9675\u592a, \u9ad8\u6728\u667a\u7ae0, \u9ad9\u7389\u572d\u6a39, \u4f50\u85e4\u5bdb\u4e4b, “\u7af6\u4e89\u7fa4\u6700\u9069\u5316\u306b\u304a\u3051\u308b\u6bd4\u8f03\u7fa4\u30b5\u30a4\u30ba\u304c\u6700\u9069\u5316\u6027\u80fd\u306b\u4e0e\u3048\u308b\u5f71\u97ff,” \u9032\u5316\u8a08\u7b97\u30b7\u30f3\u30dd\u30b8\u30a6\u30e02019, pp. 361–365, 2019.<\/li>\n\n\n\n
      11. \u9ad8\u6728\u667a\u7ae0, \u9ad9\u7389\u572d\u6a39, \u4f50\u85e4\u5bdb\u4e4b, “\u591a\u76ee\u7684\u610f\u601d\u6c7a\u5b9a\u652f\u63f4\u306e\u305f\u3081\u306e\u30d1\u30ec\u30fc\u30c8\u30d5\u30ed\u30f3\u30c8\u306e\u4e0a\u4f4d\u96c6\u5408\u306e\u7372\u5f97\u306b\u95a2\u3059\u308b\u691c\u8a0e,” \u7b2c17\u56de\u9032\u5316\u8a08\u7b97\u5b66\u4f1a\u7814\u7a76\u4f1a, pp. 40–47, 2020.<\/li>\n\n\n\n
      12. \u9ad8\u6728\u667a\u7ae0, \u9ad9\u7389\u572d\u6a39, \u4f50\u85e4\u5bdb\u4e4b, “\u4eee\u60f3\u76ee\u7684\u30d9\u30af\u30c8\u30eb\u7fa4\u306b\u3088\u308b\u30d1\u30ec\u30fc\u30c8\u30d5\u30ed\u30f3\u30c8\u306e\u5f62\u72b6\u63a8\u5b9a,” \u7b2c18\u56de\u9032\u5316\u8a08\u7b97\u5b66\u4f1a\u7814\u7a76\u4f1a, pp. 46–54, 2020.<\/li>\n\n\n\n
      13. \u718a\u8c37\u6dbc, \u9ad8\u6728\u667a\u7ae0, \u9ad9\u7389\u572d\u6a39, \u4f50\u85e4\u5bdb\u4e4b, “MarioGAN\u3068\u9032\u5316\u8a08\u7b97\u306b\u3088\u308b\u591a\u69d8\u306a\u30b9\u30c6\u30fc\u30b8\u751f\u6210\u306b\u95a2\u3059\u308b\u691c\u8a0e,” \u30b7\u30b9\u30c6\u30e0\u30fb\u60c5\u5831\u90e8\u9580 \u5b66\u8853\u8b1b\u6f14\u4f1a (SSI 2020), \u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a, pp. 56–61, 2020.<\/li>\n\n\n\n
      14. \u9ad8\u6728\u667a\u7ae0, \u9ad9\u7389\u572d\u6a39, \u4f50\u85e4\u5bdb\u4e4b, “\u76ee\u7684\u95a2\u6570\u7a7a\u9593\u306e\u5358\u4f4d\u8d85\u5e73\u9762\u3092\u57fa\u6e96\u3068\u3059\u308b\u30d1\u30ec\u30fc\u30c8\u30d5\u30ed\u30f3\u30c8\u63a8\u5b9a\u3068\u305d\u306e\u5229\u7528,” \u9032\u5316\u8a08\u7b97\u30b7\u30f3\u30dd\u30b8\u30a6\u30e02020, pp.35–43, 2020.<\/li>\n\n\n\n
      15. \u5c71\u672c\u5eb7\u5e73, \u9ad8\u6728\u667a\u7ae0, \u9ad9\u7389\u572d\u6a39, \u4f50\u85e4\u5bdb\u4e4b, “\u6700\u9069\u5316\u554f\u984c\u306e\u985e\u4f3c\u6027\u3092\u5229\u7528\u3057\u305f\u672a\u77e5\u306e\u6700\u9069\u5316\u554f\u984c\u306b\u9069\u3057\u305f\u9032\u5316\u8a08\u7b97\u6cd5\u306e\u63a8\u85a6,” \u9032\u5316\u8a08\u7b97\u30b7\u30f3\u30dd\u30b8\u30a6\u30e02020, pp. 249–256, 2020.<\/li>\n\n\n\n
      16. \u9ad8\u6728\u667a\u7ae0, \u7530\u4e2d\u5f70\u4e00\u90ce, \u9ad9\u7389\u572d\u6a39, \u4f50\u85e4\u5bdb\u4e4b, “\u591a\u76ee\u7684\u610f\u601d\u6c7a\u5b9a\u3092\u652f\u63f4\u3059\u308b\u6709\u5411\u30d1\u30ec\u30fc\u30c8\u30d5\u30ed\u30f3\u30c8\u306e\u63a8\u5b9a,” \u30a4\u30f3\u30c6\u30ea\u30b8\u30a7\u30f3\u30c8\u30fb\u30b7\u30b9\u30c6\u30e0\u30fb\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 2021 (FAN 2021), pp. 155–160, 2021.<\/li>\n\n\n\n
      17. \u52a0\u7d0d\u8b19\u4ecb, \u9ad8\u6728\u667a\u7ae0, \u7530\u4e2d\u5f70\u4e00\u90ce, \u9ad9\u7389\u572d\u6a39, \u4f50\u85e4\u5bdb\u4e4b, “\u30b0\u30ea\u30c3\u30c9\u578b\u591a\u76ee\u7684\u9032\u5316\u8a08\u7b97\u306b\u304a\u3051\u308b\u53ef\u5909\u30a8\u30ea\u30fc\u30c8\u96c6\u56e3\u306b\u95a2\u3059\u308b\u691c\u8a0e,” \u30a4\u30f3\u30c6\u30ea\u30b8\u30a7\u30f3\u30c8\u30fb\u30b7\u30b9\u30c6\u30e0\u30fb\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 2021 (FAN 2021), pp. 268–273, 2021.<\/li>\n\n\n\n
      18. \u9ad8\u6728\u667a\u7ae0, \u9ad9\u7389\u572d\u6a39, \u4f50\u85e4\u5bdb\u4e4b, “\u63a8\u5b9a\u3092\u5229\u7528\u3059\u308b\u6559\u5e2b\u3042\u308a\u591a\u76ee\u7684\u6700\u9069\u5316\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u95a2\u3059\u308b\u691c\u8a0e,” \u7b2c20\u56de\u9032\u5316\u8a08\u7b97\u5b66\u4f1a\u7814\u7a76\u4f1a, pp. 42–50, 2021.<\/li>\n\n\n\n
      19. \u85e4\u539f\u535a\u6587, \u9ad8\u6728\u667a\u7ae0, \u4f50\u85e4\u5bdb\u4e4b, “\u907a\u4f1d\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u8907\u6570\u306e\u5b9f\u554f\u984c\u306b\u5bfe\u3059\u308b\u6982\u5ff5\u5b9f\u8a3c\u306e\u30d7\u30ed\u30b0\u30e9\u30e0\u4f5c\u6210\u3092\u901a\u3057\u3066 \u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u958b\u767a\u30d3\u30b8\u30cd\u30b9\u306e\u53ef\u80fd\u6027\u3092\u691c\u8a0e,” \u9032\u5316\u8a08\u7b97\u30b7\u30f3\u30dd\u30b8\u30a6\u30e02021, pp. 43–50, 2021.<\/li>\n\n\n\n
      20. \u9ad8\u6728\u667a\u7ae0, \u9ad9\u7389\u572d\u6a39, \u4f50\u85e4\u5bdb\u4e4b, “3\u76ee\u7684\u6700\u9069\u5316\u306e\u7d50\u679c\u306e\u53ef\u8996\u5316\u306b\u95a2\u3059\u308b\u6bd4\u8f03\u691c\u8a0e,” \u9032\u5316\u8a08\u7b97\u30b7\u30f3\u30dd\u30b8\u30a6\u30e02021, pp. 336–345, 2021.<\/li>\n\n\n\n
      21. \u9ad8\u6728\u667a\u7ae0, \u9ad9\u7389\u572d\u6a39, \u4f50\u85e4\u5bdb\u4e4b, “\u53cd\u5fa9\u7684\u5c40\u6240\u63a2\u7d22\u3092\u7528\u3044\u305f\u7d4c\u6e08\u652f\u63f4\u65bd\u7b56\u306e\u8a2d\u8a08\u6700\u9069\u5316,” \u7b2c21\u56de\u9032\u5316\u8a08\u7b97\u5b66\u4f1a\u7814\u7a76\u4f1a, pp. 28–35, 2022.<\/li>\n\n\n\n
      22. \u9ad8\u6728\u667a\u7ae0, \u9ad9\u7389\u572d\u6a39, \u4f50\u85e4\u5bdb\u4e4b, “\u53cd\u5fa9\u7684\u306b\u63a8\u5b9a\u30e2\u30c7\u30eb\u3092\u66f4\u65b0\u3059\u308b\u6559\u5e2b\u3042\u308a\u591a\u76ee\u7684\u6700\u9069\u5316\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u95a2\u3059\u308b\u691c\u8a0e,” \u30b7\u30b9\u30c6\u30e0\u30fb\u60c5\u5831\u90e8\u9580\u5b66\u8853\u8b1b\u6f14\u4f1a (SSI2022), \u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a, pp. 260–265 2022.<\/li>\n<\/ol>\n\n\n\n

        <\/p>\n\n\n\n

        \u53d7\u8cde<\/a><\/h2>\n\n\n\n
          \n
        1. \u96fb\u6c17\u5b66\u4f1a 2019\u5e74\u96fb\u5b50\u30fb\u60c5\u5831\u30fb\u30b7\u30b9\u30c6\u30e0\u90e8\u9580\u5927\u4f1a\u5968\u52b1\u8cde, 2020\/9\/10<\/li>\n\n\n\n
        2. IEEE Computational Intelligence Society Japan Chapter Young Researcher Award, 2020\/12\/20<\/li>\n\n\n\n
        3. \u9032\u5316\u8a08\u7b97\u30b3\u30f3\u30da\u30c6\u30a3\u30b7\u30e7\u30f32020\uff0c\u591a\u76ee\u7684\u90e8\u9580 \u30c8\u30c3\u30d7\u8cde 2020\/12\/19<\/li>\n\n\n\n
        4. \u9032\u5316\u8a08\u7b97\u30b3\u30f3\u30da\u30c6\u30a3\u30b7\u30e7\u30f32020\uff0c\u5358\u76ee\u7684\u90e8\u9580 \u30c8\u30c3\u30d7\u8cde 2020\/12\/19<\/li>\n\n\n\n
        5. \u4ee4\u548c2\u5e74\u5ea6 \u96fb\u6c17\u901a\u4fe1\u5927\u5b66 \u5b66\u751f\u8868\u5f70 2021\/3\/25<\/li>\n\n\n\n
        6. \u30d7\u30ec\u30bc\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u8cde\uff0cFAN2021 2021\/9\/23<\/li>\n\n\n\n
        7. \u9032\u5316\u8a08\u7b97\u30b3\u30f3\u30da\u30c6\u30a3\u30b7\u30e7\u30f32021\uff0c\u5358\u76ee\u7684\u90e8\u9580 \u30c8\u30c3\u30d7\u8cde 2021\/12\/25<\/li>\n\n\n\n
        8. \u9032\u5316\u8a08\u7b97\u30b3\u30f3\u30da\u30c6\u30a3\u30b7\u30e7\u30f32021\uff0c\u591a\u76ee\u7684\u90e8\u9580 \u5be9\u67fb\u54e1\u7279\u5225\u8cde 2021\/12\/25<\/li>\n\n\n\n
        9. \u4ee4\u548c3\u5e74\u5ea6 \u96fb\u6c17\u901a\u4fe1\u5927\u5b66 \u5b66\u751f\u8868\u5f70 2022\/3\/24<\/li>\n\n\n\n
        10. \u9032\u5316\u8a08\u7b97\u5b66\u4f1a \u8ad6\u6587\u8a8c 2022\u5e74\u5ea6\u8ad6\u6587\u8cde 2022\/12\/18<\/li>\n<\/ol>\n\n\n\n

          <\/p>\n\n\n\n

          \u6307\u5c0e<\/a><\/h2>\n\n\n\n
            \n
          1. \u5e73\u621031\u5e74\u5ea6 \u30c6\u30a3\u30fc\u30c1\u30f3\u30b0\u30a2\u30b7\u30b9\u30bf\u30f3\u30c8\uff08\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u901a\u8ad6\u304a\u3088\u3073\u6f14\u7fd2)<\/li>\n\n\n\n
          2. Teaching Assistant, Topics in Informatics I: Evolutionary Computation (\u56fd\u969b\u79d1\u76ee), 2019.<\/li>\n<\/ol>\n\n\n\n
            \n

            <\/p>\n<\/div><\/div>\n\n\n\n

            \u8b1b\u6f14<\/a><\/h2>\n\n\n\n
              \n
            1. Tomoaki Takagi, “Pareto Front Estimation for Subset Selection,” Workshop on Subset Selection in Evolutionary Multi-objective Optimization at 2022 IEEE World Congress on Computational Intelligence (WCCI2022), 2022.<\/li>\n<\/ol>\n\n\n\n

              <\/p>\n\n\n\n

              \u904b\u55b6<\/a><\/h2>\n\n\n\n
                \n
              1. \u904b\u55b6\u30b9\u30bf\u30c3\u30d5, \u60c5\u5831\u51e6\u7406\u5b66\u4f1a \u7b2c126\u56de\u6570\u7406\u30e2\u30c7\u30eb\u5316\u3068\u554f\u984c\u89e3\u6c7a(MPS)\u7814\u7a76\u4f1a, 2019.<\/li>\n\n\n\n
              2. \u30aa\u30fc\u30ac\u30ca\u30a4\u30b6\u30fc, \u30b9\u30da\u30b7\u30e3\u30eb\u30bb\u30c3\u30b7\u30e7\u30f3\u300c\u9032\u5316\u8a08\u7b97\u306e\u65b0\u4e16\u4ee3\u300d, \u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a \u30b7\u30b9\u30c6\u30e0\u30fb\u60c5\u5831\u90e8\u9580 \u5b66\u8853\u8b1b\u6f14\u4f1a SSI2022, 2022.<\/li>\n<\/ol>\n\n\n\n

                <\/p>\n\n\n\n

                \u6240\u5c5e\u5b66\u4f1a<\/a><\/h2>\n\n\n\n
                  \n
                1. \u9032\u5316\u8a08\u7b97\u5b66\u4f1a<\/li>\n\n\n\n
                2. IEEE<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

                  \u5916\u90e8\u30ea\u30f3\u30af Home Page, GitHub, Google Scholar, DBLP, ORCID, Publons, Semantic Scholar,&nbsp… \u7d9a\u304d\u3092\u8aad\u3080 »\u9ad8\u6728 \u667a\u7ae0<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_crdt_document":"","neve_meta_sidebar":"full-width","neve_meta_container":"","neve_meta_enable_content_width":"on","neve_meta_content_width":100,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"","footnotes":""},"class_list":["post-927","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/nic.lab.uec.ac.jp\/index.php\/wp-json\/wp\/v2\/pages\/927","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nic.lab.uec.ac.jp\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/nic.lab.uec.ac.jp\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/nic.lab.uec.ac.jp\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/nic.lab.uec.ac.jp\/index.php\/wp-json\/wp\/v2\/comments?post=927"}],"version-history":[{"count":14,"href":"https:\/\/nic.lab.uec.ac.jp\/index.php\/wp-json\/wp\/v2\/pages\/927\/revisions"}],"predecessor-version":[{"id":1524,"href":"https:\/\/nic.lab.uec.ac.jp\/index.php\/wp-json\/wp\/v2\/pages\/927\/revisions\/1524"}],"wp:attachment":[{"href":"https:\/\/nic.lab.uec.ac.jp\/index.php\/wp-json\/wp\/v2\/media?parent=927"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}