Publications

See Publications in Japanese for the articles written in Japanese. See also Google Scholar, DBLP and ResearchGate.

Doctoral dissertation

  • Youhei Akimoto. Design of Evolutionary Computation for Continuous Optimization. Doctoral dissertation, Tokyo Institute of Technology (2011) PDF

Peer-reviewed journals

  1. Naoki Sakamoto and Youhei Akimoto. Improvement to the Box Constraint Handling Method for the CMA-ES and its Generalization to Linear Constraints. Transaction of the Japanese Society for Evolutionary Computation. 8(2):xxx--xxx(2017)
  2. Yeoh TzeWei and Youhei Akimoto and Hernan Aguirre and Kiyoshi Tanaka. A Gait-Based Human Identification Method Under Various Covariate Factors (Special Issue on Computer Vision and Applications). IIEEJ transactions on image electronics and visual computing. 3(2):193--205(2015)
  3. Youhei Akimoto and Sandra Astete-Morales and Olivier Teytaud. Analysis of runtime of optimization algorithms for noisy functions over discrete codomains. Theoret. Comput. Sci.. 605:42--50(2015) DOI
  4. Martin Drozdik and Youhei Akimoto and Hernan Aguirre and Kiyoshi Tanaka. Computational Cost Reduction of Non-dominated Sorting Using M-front. IEEE Transactions on Evolutionary Computation. 19(5):659--678(2015) DOI
  5. RamezanJamaat, S., Akimoto, Y., Aguirre, H., and Tanaka, K. Efficient reconfiguration of distribution networks using extended pruning-grafting operators. IEEJ Trans. on Electrical and Electronic Engineering, 10(2):119–133 (2015)
  6. Chua, M., Akimoto, Y., Aguirre, H., and Tanaka, K. Asian face classification based on personal attractive preference using class-specific eigenfaces reconstruction method. IIEEJ Trans Image Electron Vis Comput, 2(1):91–103 (2014)
  7. Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi. Theoretical Foundation for CMA-ES from Information Geometry Perspective. Algorithmica. 64(4):698--716(2012) available on arXiv
  8. Atsuo Maki, Youhei Akimoto, Yuichi Nagata, Shigenobu Kobayashi, Eiichi Kobayashi, Shigeaki Shiotani, Teruo Osawa, Naoya Umeda. A new weather-routing system that accounts for ship stability based on a real-coded genetic algorithm. Journal of Marine Science and Technology, 16(3):311--322 (2011)
  9. Youhei Akimoto, Yuichi Nagata, Jun Sakuma, Isao Ono, Shigenobu Kobayashi. Analysis of the behavior of MGG and JGG as a selection model for real-coded genetic algorithms. Transactions of the Japanese Society for Artificial Intelligence, 25(2):281--289 (2010) in Japanese. available on J-STAGE
  10. Youhei Akimoto, Yuichi Nagata, Jun Sakuma, Isao Ono, Shigenobu Kobayashi. Proposal and evaluation of adaptive real-coded crossover AREX. Transactions of the Japanese Society for Artificial Intelligence, 24(6):446--458 (2009) in Japanese. available on J-STAGE
  11. Youhei Akimoto, Jun Sakuma, Isao Ono, Shigenobu Kobayashi. Proposal and Evaluation of Functionally Specialized CMA-ES. Transactions of the Japanese Society for Artificial Intelligence, 24(1):58--68 (2009) in Japanese. available on J-STAGE
  12. Masaharu Tanaka, Yohei Akimoto, Jun Sakuma, Isao Ono, Shigenobu Kobayashi. Lens System Design by A Two Stage GA``Solid EMO''. Transactions of the Japanese Society for Artificial Intelligence, 23(3):193--204 (2008) in Japanese. available on J-STAGE

Peer-reviewed international conference proceedings

  1. Hidekazu Miyazawa and Youhei Akimoto. Effect of the Mean Vector Learning Rate in CMA-ES. GECCO 2017. pp. 721--728 (2017)
  2. Youhei Akimoto, Anne Auger, and Nikolaus Hansen. Quality Gain Analysis of the Weighted Recombination Evolution Strategy on General Convex Quadratic Functions. FOGA 2017. pp. 111--126 (2017) available on ResearchGate
  3. Youhei Akimoto and Nikolaus Hansen. Online Model Selection for Restricted Covariance Matrix Adaptation. PPSN 2016. pp. 3--13 (2016) available on ResearchGate
  4. Kouhei Nishida and Youhei Akimoto. Population Size Adaptation for the CMA-ES Based On the Estimation Accuracy of the Natural Gradient. GECCO 2016. pp. 237-244 (2016) available on ResearchGate
  5. Youhei Akimoto and Nikolaus Hansen. Projection-Based Restricted Covariance Matrix Adaptation for High Dimension. GECCO 2016. pp. 197--204 (2016) available on HAL
  6. Shinichi Shirakawa and Youhei Akimoto and Kazuki Ouchi and Kouzou Ohara. Sample Reuse in the Covariance Matrix Adaptation Evolution Strategy Based on Importance Sampling. GECCO 2015. pp. 305--312 (2015)
  7. Drozdik, M., Aguirre, H., Akimoto, Y., and Tanaka, K. Comparison of parameter control mechanisms in multi-objective differential evolution. LION9, pages 89--103 (2015)
  8. RamezanJamaat, S., Aguirre, H., Akimoto, Y., and Tanaka, K. Smart ea operators for effective service restoration of compensated distribution networks. ISGT ASIA, pages 743–748 (2014)
  9. Youhei Akimoto and Shinichi Shirakawa. Natural Gradient Approach for Linearly Constrained Continuous Optimization. PPSN 2014. pp. 252 -- 261 (2014)
  10. Youhei Akimoto, Anne Auger, and Nikolaus Hansen. Comparison-Based Natural Gradient Optimization in High Dimension. GECCO 2014. pp. 373 -- 380 (2014) PDF (proofs included)
  11. Chua, M., Akimoto, Y., Aguirre, H., and Tanaka, K. Asian female face clas- sification incorporating personal attractive preference. ISPACS2013, pages 413--418 (2013)
  12. RamezanJamaat, S., Akimoto, Y., Aguirre, H., and Tanaka, K. Extended pruning-grafting operators for efficient distribution network reconfiguration. EPECS2013, pages 92–97 (2013)
  13. Youhei Akimoto and Yann Ollivier. Objective Improvement in Information-Geometric Optimization. FOGA 2013. pp. 1 -- 10 (2013) available on arXiv
  14. Youhei Akimoto, Anne Auger, and Nikolaus Hansen. Convergence of the Continuous Time Trajectory of Isotropic Evolution Strategies on Monotonic C^2-composite Functions. In Proceedings of the 12th International Conference on Parallel Problem Solving from Nature, PPSN 2012 Part I, pages 42--51 (2012) available on arXiv
  15. Youhei Akimoto. Analysis of a Natural Gradient Method on Monotonic Convex-Quadratic-Composite Functions. In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2012, pages 1293--1300 (2012) available on arXiv slides
  16. Youhei Akimoto, Yuichi Nagata, Isao Ono, and Shigenobu Kobayashi. Bidirectional relation between CMA evolution strategies and natural evolution strategies.In Proceedings of the 11th International Conference on Parallel Problem Solving from Nature, PPSN 2010, pages 154--163 (2010) PDF
  17. Youhei Akimoto, Yuichi Nagata, Isao Ono, and Shigenobu Kobayashi. Theoretical analysis of evolutionary computation on continuously differentiable functions. In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2010, pages 1401--1408 (2010) PDF
  18. Youhei Akimoto, Jun Sakuma, Isao Ono, and Shigenobu Kobayashi. Adaptation of expansion rate for real-coded crossovers. In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2009, pages 739--746 (2009) PDF
  19. Youhei Akimoto, Jun Sakuma, Isao Ono, and Shigenobu Kobayashi. Functionally specialized CMA-ES: A modification of CMA-ES based on the specialization of the functions of covariance matrix adaptation and step size adaptation.In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2008, pages 479--486 (2008) PDF

Workshop papers, Talks without a paper, Tutorials

  • Youhei Akimoto and Nikolaus Hansen. CMA-ES and Advanced Adaptation Mechanisms. Advanced Tutorial at GECCO 2017. pp. 641--674 (2017)
  • Takahiro Yamaguchi and Youhei Akimoto. Benchmarking the Novel CMA-ES Restart Strategy Using the Search History on the BBOB Noiseless Testbed. Workshop Proceedings of Genetic and Evolutionary Computation Conference, GECCO 2017. pp. 1780--1787 (2017).
  • Naoki Sakamoto and Youhei Akimoto. Modified Box Constraint Handling for the Covariance Matrix Adaptation Evolution Strategy. GECCO Companion, 2017. pp. 183--184.
  • Keigo Tanaka and Youhei Akimoto. Introducing the Cumulation to the Population Based Incremental Learning and the Compact GA to Relax Genetic Drift. GECCO Companion, 2017. pp. 199--200.
  • Youhei Akimoto and Nikolaus Hansen. Comparison-based Stochastic Algorithm with Adaptive Gaussian Model for Large-Scale Continuous Optimization. The fifth International Conference on Continuous Optimization, National Graduate Institute for Policy Studies, Roppongi, Tokyo, Japan, Aug. 11th, 2016.
  • Kouhei Nishida and Youhei Akimoto. Evaluating the Population Size Adaptation Mechanism for CMA-ES on the BBOB Noiseless Testbed. Workshop Proceedings of Genetic and Evolutionary Computation Conference, GECCO 2016, Denver, Colorado, USA, July 20-24, 2016, pages 1185--1192.
  • Kouhei Nishida and Youhei Akimoto. Evaluating the Population Size Adaptation Mechanism for CMA-ES on the BBOB Noisy Testbed. Workshop Proceedings of Genetic and Evolutionary Computation Conference, GECCO 2016, Denver, Colorado, USA, July 20-24, 2016, pages 1193--1200.
  • Youhei Akimoto and Anne Auger and Nikolaus Hansen. Introduction to Randomized Continuous Optimization. Introductory tutorials at GECCO 2016.
  • Youhei Akimoto and Anne Auger and Nikolaus Hansen. CMA-ES and Advanced Adaptation Mechanisms. Introductory tutorials at GECCO 2016.
  • Youhei Akimoto. A linear time natural gradient algorithm for black-box optimization in high dimension. Gaspard Monge Program for Optimization - Conference on Optimization & Practices in Industry : PGMO-COPI’14, Ecole Polytechnique, Paris-Saclay, France, Oct. 30th, 2014. Invited Session web
  • Youhei Akimoto. Function-Value-Free Continuous Optimization in High Dimension. Mini Symposium on Function-Value-Free Optimization (MS47), 2014 SIAM Conference on Optimization, San Diego, CA, USA, May 20th, 2014. SIAM OP14 web
  • Takahashi, M., Akimoto, Y., Aguirre, H., and Tanaka, K. A subspace extraction strategy for many-objective space partitioning optimization. LION8 pre-proceedings, ID-40 (2014) LION 8 Pre-proceedings
  • Nishio, Y., Oyama, A., Akimoto, Y., Aguirre, H., and Tanaka, K. Many-objective optimization of trajectory design for destiny mission. LION8 pre-proceedings, ID-41 (2014) LION 8 Pre-proceedings
  • Youhei Akimoto, and Shinichi Shirakawa. Natural Gradient Approach for Constrained Continuous Optimization. In Proceedings of the 7th Evolutionary Computation Symposium, Kagoshima, Japan, Dec. 14-15, 2013 PDF
  • Youhei Akimoto. Information-geometric optimization: Introduction and theoretical foundations. The Fourth International Conference on Continuous Optimization (ICCOPT), Lisbon, Portugal, Jul 31st, 2013. ICCOPT 2013 web
  • Youhei Akimoto. Linear convergence of the isotropic ES via a continuous time approximation. Dagstuhl Seminar 13271, Theory of Evolutionary Algorithms, Schloss Dagstuhl, Germany, Jul 2nd, 2013. Dagstuhl Seminar web
  • Youhei Akimoto, Anne Auger, and Nikolaus Hansen. Linear Convergence Proof for Adaptive-ES algorithm via Continuous-Time Approximation. In Proceedings of the 6th Evolutionary Computation Symposium, Nagano, Japan, Dec. 15-16, 2012 PDF
  • Youhei Akimoto. A linear convergence proof of the isotropic ES via a continuous time approximation. ANR SIMINOLE 06 Optimization project meeting, LRI Univ. Paris-Sud, Orsay, France, Oct 19th, 2012 talk slides available on the web
  • Anne Auger, Youhei Akimoto and Nikolaus Hansen. Convergence of adaptive evolution strategies on monotonic C^2-composite and scale-invariant functions. ISMP'2012: 21st International Symposium on Mathematical Programming, Berlin, Germany, August 19–-24, 2012 abstract available on ISMP'2012 web
  • Youhei Akimoto, Anne Auger, and Nikolaus Hansen. Convergence of the IGO-flow with isotropic Gaussian search distributions. ThRaSH'2012: 6th Workshop on Theory of Randomized Search Heuristics, Lille, France, May 2--3, 2012 abstract and talk slides available on ThRaSH'12 web
  • Youhei Akimoto. Rank-μ Update CMA-ES from the Viewpoint of Information Geometry. ThRaSH'2011: 5th Workshop on Theory of Randomized Search Heuristics, Copenhagen, Denmark, July 8--9, 2011 abstract and talk slides available on ThRaSH'11 web