ARANHA Claus de Castro

Researcher's full information

Articles

• Dynamic Adaptation of Decomposition Vector Set Size for MOEA/D
  Kobayashi Yuta; Aranha Claus de Castro; Sakurai Tetsuya
  Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO 2021)/pp.181-182, 2021-07
• Summary of the OS — AI Werewolf and Incomplete Information Games
  大槻 恭士; 狩野 芳伸; 片上 大輔; 大澤 博隆; ARANHA CLAUS DE CASTRO; 稲葉 通将
  Artificial Intelligence/36(5)/pp.613-617, 2021-07
• Impressions of the GDMC AI Settlement Generation Challenge in Minecraft
  Salge Christoph; Aranha Claus de Castro; Brightmoore Adr...
  arxiv, 2021-08
• Using Lexicase Selection and Differential Evolution for Solving Multi-Objective Optimization Problems
  He Yifan; Aranha Claus de Castro
  19th Symposium of the Japanese Society on Evolutionary Computation, 2021-03
• Metaphor-based metaheuristics, a call for action: the elephant in the room
  Aranha Claus; Villalon Christian L. Camacho; Campelo F...
  SWARM INTELLIGENCE/Epub, 2021-11
  
  Tsukuba Repository
• Franken-Swarm: Grammatical Evolution for the Automatic Generation of Swarm-like Meta-heuristics
  Bogdanova Anna; Jair Pereora; Claus Aranha
  Genetic and Evolutionary Computation Conference Companion (GECCO ’19 Companion), 2019-07
• Automatic Generation of Super Mario Levels via Graph Grammars
  Hauck Eduardo; Aranha Claus de Castro
  2020 IEEE Conference on Games (CoG)/pp.297-304, 2020-08
• On the Use of Predation to Shape Evolutionary Computation
  Andrade Felipe S. P.; Aranha Claus de Castro; Torres Ric...
  2020 IEEE Symposium Series on Computational Intelligence (SSCI)/pp.117-124, 2020-12
• 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...
  Conference on Evolutionary Multi-Criterion Optimization (EMO), 2021-03
  
  Tsukuba Repository
• Solving Portfolio Optimization Problems Using MOEA/D and Levy Flight
  He Yifan; Aranha Claus de Castro
  Advances in Data Science and Adaptive Analysis/12(3-4), 2020-08
  
  Tsukuba Repository
• Parameter Evolution Self-Adaptive Strategy and Its Application for Cuckoo Search
  He Yifan; Aranha Claus; Sakurai Tetsuya
  BIOMA 2020: International Conference on Bioinspired Methods and Their Applications/pp.56-68, 2020-11
  
  Tsukuba Repository
• AI Wolf Contest : After the International Contest and the Natural Language Contest
  鳥海 不二夫; 狩野 芳伸; 大槻 恭士; 大澤 博隆; アランニャ クラウス; 稲葉 通将; 片上 大輔
  Journal of the Japanese Society for Artificial Intelligence/35(3)/pp.344-350, 2020
  
  CiNii
• Analysis of Automatic Generated Swarm Intelligence using Grammatical Evolution
  Junior Jair Pereira; Bogdanova Anna; Aranha Claus de Castro
  16th Symposium of the Japanese Society on Evolutionary Computation, 2019-09
• Solving Portfolio Optimization Problems Based on MOEA/D and Levy Flight
  He Yifan; Aranha Claus de Castro; 狩野均
  16th Symposium of the Japanese Society on Evolutionary Computation, 2019-09
• A Pragmatic Investigation of the Objective Function for Subsurface Data Assimilation Problem
  Chassagne Romain; Aranha Claus de Castro
  Operations Research Perspectives/7, 2020-02
• Using diversity as a priority function for resource allocation on MOEA/D
  Lavinas Y. C.; Aranha Claus; Sakurai Tetsuya
  GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion/pp.215-216, 2019-07
• Improving Resource Allocation in MOEA/D with Decision-Space Diversity Metrics
  Lavinas Yuri; Aranha Claus de Castro; Ladeira Marcelo
  Theory and Practice of Natural Computing/pp.134-146, 2019-11
• Research Challenges for the Automated Negotiating Agents Competition (ANAC) 2019
  Aydogan Reyhan; Baarslag Tim; Fujita Katsuhide; Mell Joh...
  7 th International Conference on Agreement Technologies, 2020-04
• INTEGRA: An Open Tool To Support Graph-Based Change Pattern Analyses In Simulated Football Matches
  Vago Nicolo; Lavinas Yuri; Rodrigues Daniele; Moura Feli...
  34th International ECMS Conference on Modeling and Simulation, 2020-06
• A Training Difficulty Schedule for Effective Search of Meta-Heuristic Design
  Jair Pereira Junior; ARANHA CLAUS DE CASTRO; Tetsuya Sak...
  Proc. IEEE Congress on Evolutionary Computation (CEC), 2020-07
• MOEA/D with Random Partial Update Strategy
  Yuri Lavinas; ARANHA CLAUS DE CASTRO; Marcelo Ladeira; Fe...
  IEEE Congress on Evolutionary Computation, 2020-07
• The MOEADr Package - A Component-Based Framework for Multiobjective Evolutionary Algorithms Based on Decomposition
  Campelo Felipe; Batista Lucas; Aranha Claus de Castro
  Journal of Statistical Software/92(6)/pp.1-39, 2020-02
  
  Tsukuba Repository
• A Pragmatic Investigation of the Objective Function for Subsurface Data Assimilation Problem
  Chassagne Romain; Aranha Claus de Castro
  Operations Research Perspectives, 2020-04
• MOEA/D-RAD Resource Allocation by Diversity
  Lavinas Yuri; Aranha Claus de Castro; Ladeira Marcelo; Sa...
  Symposium of the Japanese Society of Evolutionary Computation 2018, 2018-12
• Comparative Study on Discrete SI Approaches to the Graph Coloring Problem
  Aranha Claus de Castro; Junior Jair Pereira; Kanoh Hitoshi
  Proceedings of Genetic and Evolutionary Computation Conference Companion (GECCO 2018)/pp.81-82, 2018-07
• more...