Naoki Hamada

Orcid: 0000-0002-3630-5987

Affiliations:
  • KLab Inc., Tokyo, Japan
  • RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
  • Fujitsu Laboratories, Kawasaki, Japan
  • Tokyo Institute of Technology, Interdisciplinary Graduate School of Science and Engineering, Japan (PhD)


According to our database1, Naoki Hamada authored at least 21 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Visualization of Multiobjective Multimodal Benchmarking Based on Basin Connectivity.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023
GenéLive! Generating Rhythm Actions in Love Live!
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Free Disposal Hull Condition to Verify When Efficiency Coincides with Weak Efficiency.
J. Optim. Theory Appl., 2022

Bézier Flow: a Surface-wise Gradient Descent Method for Multi-objective Optimization.
CoRR, 2022

A two-phase framework with a bézier simplex-based interpolation method for computationally expensive multi-objective optimization.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2021
Explicitly Multi-Modal Benchmarks for Multi-Objective Optimization.
CoRR, 2021

All unconstrained strongly convex problems are weakly simplicial.
CoRR, 2021

Approximate Bayesian Computation of Bézier Simplices.
CoRR, 2021

2020
Topology of Pareto Sets of Strongly Convex Problems.
SIAM J. Optim., 2020

Asymptotic Risk of Bézier Simplex Fitting.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Neural-network assistance to calculate precise eigenvalue for fitness evaluation of real product design.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Bézier Simplex Fitting: Describing Pareto Fronts of Simplicial Problems with Small Samples in Multi-Objective Optimization.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Data-driven analysis of pareto set topology.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
Simple problems: the simplicial gluing structure of pareto sets and pareto fronts.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Knee point analysis of many-objective Pareto fronts based on Reeb graph.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2015
Population Synthesis via k-Nearest Neighbor Crossover Kernel.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2012
A new Pareto frontier covering strategy in FS-MOGA for multi-objective function optimization.
Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

2011
Adaptive Weighted Aggregation 2: More scalable AWA for multiobjective function optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

On scalability of Adaptive Weighted Aggregation for multiobjective function optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Adaptive weighted aggregation: A multiobjective function optimization framework taking account of spread and evenness of approximate solutions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2008
Functional-Specialization Multi-Objective Real-Coded Genetic Algorithm: FS-MOGA.
Proceedings of the Parallel Problem Solving from Nature, 2008


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