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ARANHA CLAUS DE CASTRO

Aranha, Claus de Castro

システム情報系 , 准教授
Institute of Systems and Information Engineering , Associate Professor

http://conclave.cs.tsukuba.ac.jp/

オープンアクセス版の論文は「つくばリポジトリ」で読むことができます。
  1. 1. Empirical Comparison of EEG Signal Classification Techniques through Genetic Programming-based AutoML: An Extended Study Miranda, Icaro; ARANHA; Claus de Castro; Carvalho, Andre C. (+1 著者) Garcia, Luiz P. F.
      Journal of Information and Data Management (JIDM) 15: 175 - 185 (2024)
  2. 2. Multiobjective Evolutionary Component Effect on Algorithm behavior Lavinas, Yuri; Ladeira, Marcelo; Ochoa, Gabriela; ARANHAClaus de Castro
      ACM Transactions on Evolutionary Learning and Optimization (2023)
  3. 3. Lessons from the Evolutionary Computation Bestiary Campelo, Felipe; ARANHA; Claus de Castro
      ARTIFICIAL LIFE 29: 421 - 432 (2023) Semantic Scholar
  4. 4. Multi-agent City Expansion With Land Use and Transport Santos, Luiz; F; S. Eugenio dos; Aranha, Claus (+2 著者) L. F. de
      ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference (2023) Semantic Scholar
  5. 5. Simulating Disease Spread During Disaster Scenarios Jiang, Shiyu; Kim, Heejoong; Tanaka, Fabio; Aranha, Claus (+2 著者) Dahbura, Anton
      ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference (2023) Semantic Scholar
  6. 6. Decision/Objective Space Trajectory Networks for Multi-objective Combinatorial Optimisation Ochoa, Gabriela; Liefooghe, Arnaud; Lavinas, Yuri; ARANHAClaus de Castro
      Evolutionary Computation in Combinatorial Optimization (EvoCOP) 211 - 226 (2023) Semantic Scholar
  7. 7. Co-evolving morphology and control of soft robots using a single genome Tanaka, Fabio; Aranha; Claus de Castro
      2022 IEEE Symposium Series on Computational Intelligence (SSCI) (2022) Semantic Scholar
  8. 8. Knowledge-Driven Program Synthesis via Adaptive Replacement Mutation and Auto-constructed Subprogram Archives He, Yifan; Aranha; Claus de Castro; Sakurai, Tetsuya
      2022 IEEE Symposium Series on Computational Intelligence (SSCI) (2022)
  9. 9. Empirical Similarity Measure for Metaheuristics Junior, Jair Pereira; Aranha, Claus de Castro
      Lecture Notes in Computer Science 13627, Proc. of Bioinspired Optimization Methods and Their Applications 2022 69 - 83 (2022) Semantic Scholar
  10. 10. An Agent-based approach to procedural city generation incorporating Land Use and Transport Interaction Models Santos, Luiz; F; S. Eugenio dos; Aranha, Claus de Castro (+1 著者) L. F. de
      Proceedings of the XIX National Symposium of Artificial Intelligence 246 - 257 (2022)
  11. 11. Impressions of the GDMC AI Settlement Generation Challenge in Minecraft Salge, Christoph; Aranha, Claus de Castro; Brightmoore, Adrian; Butler, Sean (+13 著者) Togelius, Julian
      Proceedings of the Foundations of Digital Games 2022 (2022)
  12. 12. Faster Convergence in Multiobjective Optimization Algorithms Based on Decomposition Lavinas, Yuri; Ladeira, Marcelo; Aranha, Claus
      EVOLUTIONARY COMPUTATION 30: 355 - 380 (2022) Semantic Scholar
  13. 13. Component-wise Analysis of Automatically Designed Multiobjective Algorithms on Constrained Problems Lavinas, Yuri; Ochoa, Gabriela; Aranha; Claus de Castro
      Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2022) (2022)
  14. 14. Incorporating Sub-programs as Knowledge in Program Synthesis by PushGP and Adaptive Replacement Mutation He, Yifan; Aranha; Claus de Castro; Sakurai, Tetsuya
      Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO 2022) (2022)
  15. 15. Comparison of map metrics as fitness input for assisted seismic history matching Hallam, Antony; Chassagne, Romain; Aranha; Claus de CastroHe, Yifan
      Journal of Geophysics and Engineering 19: 457 - 474 (2022) Semantic Scholar
  16. 16. Optimization of subsurface models with multiple criteria using Lexicase Selection He, Yifan; Aranha; Claus de Castro; Hallam, AntonyChassagne, Romain
      Operations Research Perspectives 9: (2022)
  17. 17. A Novel Weighted Ensemble Learning Based Agent for the Werewolf Game Khan, Mohiuddeen; Aranha; Claus de Castro
      arxiv (2022) Semantic Scholar
  18. 18. Search Trajectories Networks of Multiobjective Evolutionary Algorithms Lavinas, Yuri; Aranha, Claus de Castro; Ochoa, Gabriela
      EvoApplications 2022: Applications of Evolutionary Computation 223 - 238 (2022) Semantic Scholar
  19. 19. Using Agent-Based Simulator to Assess Interventions Against COVID-19 in a Small Community Generated from Map Data Mitsuteru, Abe; Tanaka, Fabio; Junior, Jair Pereira; Bogdanova, Anna (+2 著者) Claus de Castro
      AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems (2022) Semantic Scholar
  20. 20. MOEA/D with Adaptative Number of Weight Vectors Lavinas, Yuri; Teru, Abe Mitsu; Kobayashi, Yuta; AranhaClaus de Castro
      Theory and Practice of Natural Computing (2021) Semantic Scholar
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  1. 1. Practical Applications of Evolutionary Computation to Financial Engineering: Robust Techniques for Forecasting, Trading and Hedging Hitoshi,Iba; Claus,C. Aranha
    Springer Berlin Heidelberg 2012年3月 (ISBN: 9783642276484)
  2. 2. Genetic Programming Theory and Practice VIII Hitoshi,Iba; Claus,Aranha (担当:分担執筆, 範囲:Composition of Music and Financial Strategies via Genetic Programming)
    Springer New York 2011年1月
  3. 3. Development of Hybrid Evolutionary Techniques to Solve Resource Allocation Problems ARANHA, CLAUS; DE CASTRO
    2010年10月
  4. 4. Portfolio Management with Cost Model using Multi Objective Genetic Algorithms ARANHA, CLAUS; DE CASTRO
    2007年10月
  5. 5. Auto-Diagnosis and Auto-Repair for Robots ARANHA, CLAUS; DE CASTRO
    Universidade Estadual de Campinas 2005年3月
  1. 1. Exploring Constraint Handling Techniques in Real-world Problems on MOEA/D with Limited Budget for Evaluations Vaz, Felipe; Lavinas, Yuri; Aranha, Claus de Castro; Ladeira, Marcelo
    Conference on Evolutionary Multi-Criterion Optimization (EMO) 2021年3月28日
  2. 2. On the Use of Predation to Shape Evolutionary Computation Andrade; Felipe S. P; Aranha, Claus de Castro; Torres, Ricardo; da Silva
    2020 IEEE Symposium Series on Computational Intelligence 2020年12月1日 IEEE
  3. 3. Automatic Generation of Super Mario Levels via Graph Grammars Hauck, Eduardo; Aranha; Claus de Castro
    IEEE Conference on Games 2020年8月24日 IEEE
  4. 4. MOEA/D with Random Partial Update Strategy Yuri, Lavinas; ARANHA, CLAUS DE CASTRO; Marcelo, Ladeira; Felipe, Campelo
    World Congress on Computational Intelligence 2020年7月19日
  5. 5. A Training Difficulty Schedule for Effective Search of Meta-Heuristic Design Jair; Pereira Junior; ARANHA, CLAUS DE CASTRO; Tetsuya, Sakurai
    World Congress on Computational Intelligence 2020年7月19日
  6. 6. Improving Resource Allocation in MOEA/D with Decision-Space Diversity Metrics Lavinas, Yuri; Aranha, Claus de Castro; Ladeira, Marcelo
    8th International Conference on the Theory and Practice of Natural Computing 2019年12月9日 招待有り
  7. 7. Solving Portfolio Optimization Problems Based on MOEA/D and Levy Flight Aranha; Claus de Castro
    日本進化計算学会第16回研究会 2019年9月27日
  8. 8. Analysis of Automatic Generated Swarm Intelligence using Grammatical Evolution Junior, Jair Pereira; Bogdanova, Anna; Aranha; Claus de Castro
    日本進化計算学会第16回研究会 2019年9月27日 Japanese Society of Evolutionary Computation
  9. 9. Using Diversity as a Priority Function for Resource Allocation on MOEA/D Lavinas, Yuri; Aranha, Claus de Castro; Sakurai, Testuya
    Genetic and Evolutionary Computation Conference 2019年7月13日 ACM
  10. 10. Classification of EEG Signals using Genetic Programming for Feature Construction Miranda; Icaro Marcelino; ARANHA, CLAUS DE CASTRO; Ladeira, Marcelo
    Genetic and Evolutionary Computation Conference 2019年7月13日 ACM
  11. 11. Franken-Swarm: Grammatical Evolution for the Automatic Generation of Swarm-like Meta-heuristics Bogdanova, Anna; Junior, Jair Pereira; Aranha, Claus de Castro
    Genetic and Evolutionary Computation Conference 2019年7月13日 ACM
  12. 12. 類似度を用いたArtificial Bee Colonyによるグラフ色塗り問題の解法 冨樫勇哉; アランニャ クラウス; 狩野, 均
    情報処理学会 数理モデル化と問題解決研究会 2018年12月10日 情報処理学会
  13. 13. Artificial Bee Colonyによる時間割編成問題の解法 呉東映; アランニャ; 狩野, 均
    情報処理学会 数理モデル化と問題解決研究会 2018年12月10日 情報処理学会
  14. 14. MOEA/D-RAD Resource Allocation by Diversity Lavinas, Yuri; Aranha, Claus de Castro; Ladeira, Marcelo; Sakurai, Tetsuya
    進化計算シンポジウム2018 2018年12月8日
  15. 15. Experimental Analysis of the Tournament Size on Genetic Algorithms Lavinas, Yuri; Aranha, Claus de Castro; Sakurai, Tetsuya; Ladeira, Marcelo
    2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2018年10月7日
  16. 16. Comparative Study on Discrete SI Approaches to the Graph Coloring Problem Aranha; Claus de Castro; Junior, Jair Pereira; Kanoh, Hitoshi
    Genetic and Evolutionary Computation Conference 2018 2018年7月15日 ACM
  17. 17. Comparative Study on Discrete SI Approaches to the Graph Coloring Problem Aranha; Claus de Castro; Junior, Jair Pereira; Kanoh, Hitoshi
    Genetic and Evolutionary Computation Conference 2018 2018年7月15日 ACM
  18. 18. A Comparison Study Between Deep Learning and Genetic Programming Application in Cart Pole Balancing Problem Miranda, Icaro; Ladeira, Marcelo; Aranha; Claus de Castro
    IEEE World Congress on Computational Intelligence 2018年7月8日 IEEE
  19. 19. Cuckoo Searchを用いた室内レイアウト問題の解法 澤田和磨; ARANHA, CLAUS DE CASTRO; 狩野, 均
    情報処理学会第８０回全国大会 2018年3月13日 情報処理学会
  20. 20. 複数の群れを有する並列Cuckoo Searchによる連続値最適化 河面知定; ARANHA, CLAUS DE CASTRO; 狩野 均
    情報処理学会第８０回全国大会 2018年3月13日 情報処理学会
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