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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. Decision-Making Policies under Stigmergic Communication: A Pheromone-Based Multi-Agent Study Satake, Sara Saori; Nakahata, Guilherme; ARANHA; Claus de Castro
      Proc. of The 2026 IEEE World Congress on Computational Intelligence (WCCI2026) (2026)
  2. 2. Bons-AI: An Agent-Based Model to Evaluate the Behavior of Bonsai Grower According to Different Levels of Communication and Experience. Satake, Sara Saori; Nakahata, Guilherme; ARANHA; Claus de Castro
      Proceedings of the 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026) (2026)
  3. 3. A Constructive Method to Build Many Valid Initial Solutions for the Traveling Tournament Problem Nakahata, Guilherme; Richoux, Florian; Ber, Daan van den; ARANHAClaus de Castro
      29th International Conference on the Applications of Evolutionary Computation (evoapplications) (2026)
  4. 4. Cluster Based Framework for Metaheuristic Empirical Similarity Junior, Jair Pereira; ARANHA; Claus de Castro
      Soft Computing (2026) Semantic Scholar
  5. 5. Evolving Benchmark Functions to Compare Evolutionary Algorithms via Genetic Programming He, Yifan; ARANHA; Claus de Castro
      IEEE World Congress on Computational Intelligence (2024) Semantic Scholar
  6. 6. Novel Genotypic Diversity Metrics for Real-Coded Optimization on Multi-Modal Problems Mascarenhas, Alexandre; Yuta, Kobayashi; ARANHA; Claus de Castro
      IEEE World Congress on Computational Intelligence (2024) Semantic Scholar
  7. 7. Extending Lexicase DE for a Multi-Niche Constraint Satisfaction Industrial Design Problem Fukase, Takafumi; Yuta, Kobayashi; ARANHA; Claus de Castro
      IEEE World Congress on Computational Intelligence (2024) Semantic Scholar
  8. 8. 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 (2024)
  9. 9. Multiobjective Evolutionary Component Effect on Algorithm behavior Lavinas, Yuri; Ladeira, Marcelo; Ochoa, Gabriela; ARANHAClaus de Castro
      ACM Transactions on Evolutionary Learning and Optimization (2023)
  10. 10. 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
  11. 11. Lessons from the Evolutionary Computation Bestiary Campelo, Felipe; ARANHA; Claus de Castro
      ARTIFICIAL LIFE 29: 421 (2023) Semantic Scholar
  12. 12. 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
  13. 13. 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 (2023) Semantic Scholar
  14. 14. 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)
  15. 15. 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
  16. 16. 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 (2022)
  17. 17. 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 (2022) Semantic Scholar
  18. 18. Faster Convergence in Multiobjective Optimization Algorithms Based on Decomposition Lavinas, Yuri; Ladeira, Marcelo; Aranha, Claus
      EVOLUTIONARY COMPUTATION 30: 355 (2022) Semantic Scholar
  19. 19. 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)
  20. 20. 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)
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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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