Aranha Claus de Castro

Researcher's full information

Articles
  • 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
  • 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
  • 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
  • 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
  • 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
  • Classification of EEG Signals using Genetic Programming for Feature Construction
    Icaro Marcelino; ARANHA CLAUS DE CASTRO; Marcelo Ladeira
    Genetic and Evolutionary Computation Conference (GECCO '19), 2019-07
  • 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 Companion (GECCO '19 Companion), 2019-07
  • Negotiation in Hidden Identity: Designing Protocol for Werewolf Game
    Osawa Hirotaka; Otsuki Takashi; Aranha Claus de Castro; T...
    In Twelfth International Workshop on Agent-based Complex Automated Negotiations (ACAN2019), 2019-08
  • Experimental Analysis of the Tournament Size on Genetic Algorithms
    Aranha Claus de Castro
    IEEE International Conference on Systems, Man and Cybernetics/pp.3647-3653, 2018-10
  • Learning to Cheese: Using Genetic Algorithms to Generate Build Orders in Starcraft
    Miller Mitchel; Aranha Claus de Castro
    Entertainment Computing Symposium 2017/pp.318-322, 2017-09
  • Beauty is on the Chip of the Beholder: Teaching a Neural Network to Recognize Beautiful Handwriting
    Han Huang; Aranha Claus de Castro
    Entertainment Computing Symposium (EC2017)/pp.323-327, 2017-09
  • Understanding Multi-Objective EvolutionaryAlgorithms through Component Oriented Design
    Aranha Claus de Castro; Campelo Felipe; Batista Lucas S.
    13th Meeting of the Japanese Society of Evolutionary Computation, 2017-09
  • Information Exchange Model for Multi-Agent Earthquake/Tsunami Evacuation Simulation
    Aranha Claus de Castro; Matsushima Hiromu; Kanoh Hitoshi
    Journal of Natural Disaster Science/38(2)/pp.179-200, 2017-12
  • A Comparison Study Between Deep Learning and Genetic Programming Application in Cart Pole Balancing Problem
    Miranda Icaro; Ladeira Marcelo; Aranha Claus de Castro
    Proceedings of the IEEE Conference on Evolutionary Computation 2018, 2018-07
  • more...