You are here

Akimoto Yohei

Researcher's full information

Conference, etc.
  • Cumulationを導入したPBILにおけるGenetic Drift抑制効果
    田中 圭伍; 秋本 洋平
    電子情報通信学会信越支部大会/2017-10-07--2017-10-07
  • CMA-ESにおけるImportance Mixingを用いた解の再利用法
    清水 卓麻; 秋本 洋平
    電子情報通信学会信越支部大会/2017-10-07--2017-10-07
  • 等方性ガウス分布を用いたInformation Geometric Optimizationの有限サンプル解析
    内田 絢斗; 白川 真一; 秋本 洋平
    進化計算シンポジウム/2017-12-09--2017-12-10
  • インスタンスベース政策最適化におけるインスタンス数適応機構の検討
    大橋 響太郎; 秋本 洋平
    進化計算シンポジウム/2017-12-09--2017-12-10
  • 探索履歴を用いた確率的打ち切り機構の性能評価
    山口 貴大; 秋本 洋平
    進化計算シンポジウム/2017-12-09--2017-12-10
  • 不変性を最大限に考慮した線形制約対処法の提案
    阪本 直気; 秋本 洋平
    進化計算シンポジウム/2017-12-09--2017-12-10
  • PBILにおける重みパラメータの影響解析
    田中 圭伍; 秋本 洋平
    進化計算シンポジウム/2017-12-09--2017-12-10
  • CO2地中貯留における坑井配置の自動最適化手法
    宮城充宏; 山本肇; 秋本 洋平; 薛自求
    岩盤力学に関するシンポジウム/2018-01-15--2018-01-17
  • Advanced Tutorial: CMA-ES and Advanced Adaptation Mechanisms
    Akimoto Yohei; Hansen Nikolaus
    Genetic and Evolutionary Computation Conference (GECCO 2017)/2017-07-15--2017-07-19
  • Benchmarking the Novel CMA-ES Restart Strategy Using the Search History on the BBOB Noiseless Testbed
    Yamaguchi Takahiro; Akimoto Yohei
    GECCO 2017 Workshop on Real-Parameter Black-Box Optimization Benchmarking (BBOB 2017)/2017-07-15--2017-07-19
  • Introducing the Cumulation to the Population Based Incremental Learning and the Compact GA to Relax Genetic Drift
    Tanaka Keigo; Akimoto Yohei
    Genetic and Evolutionary Computation Conference (GECCO 2017)/2017-07-15--2017-07-19
  • Modified Box Constraint Handling for the Covariance Matrix Adaptation Evolution Strategy
    Hidekazu Miyazawa; Akimoto Yohei
    Genetic and Evolutionary Computation Conference (GECCO 2017)/2017-07-15--2017-07-19
  • Effect of the Mean Vector Learning Rate in CMA-ES
    Hidekazu Miyazawa; Akimoto Yohei
    Genetic and Evolutionary Computation Conference (GECCO 2017)/2017-07-15--2017-07-19
  • Optimal Step-Size for the Weighted Recombination Evolution Strategy
    Akimoto Yohei; Anne Auger; Nikolaus Hansen
    Theory of Randomized Optimization Heuristics (Dagstuhl Seminar 17191)/2017-05-07--2017-05-12
  • Population Size Adaptation for the CMA-ES Based on the Accuracy of the Parameter Update
    Nishida Kouhei; Akimoto Yohei
    APSCIT 2017 Annual Meeting/2017-07-27--2017-07-30
  • Improvement to the Box Constraint Handling Method for the CMA-ES and its Generalization to Linear Constraints
    Sakamoto Naoki; Akimoto Yohei
    APSCIT 2017 Annual Meeting/2017-07-27--2017-07-30
  • Covariance Matrix Adaptation Evolution Strategy for High Dimensional Search Space
    Akimoto Yohei
    APSCIT 2017 Annual Meeting/2017-07-27--2017-07-30
  • Dynamic Optimization of Neural Network Structures Using Probabilistic Modeling
    Shirakawa Shinichi; Iwata Yasushi; Akimoto Yohei
    AAAI Conference on Artificial Intelligence/2018-02-02--2018-02-07