Ryoji Tanabe - RankMe

62 papers A 12B 7C 1Journal 36Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Speeding Up Local Search for the Indicator-Based Subset Selection Problem by a Candidate List Strategy. IEEE Trans. Evol. Comput. Keisuke Korogi, Ryoji Tanabe
2025	A	`conf`	Analyzing the Landscape of the Indicator-based Subset Selection Problem. GECCO Keisuke Korogi, Ryoji Tanabe
2025	J	`jnl`	Analyzing the Landscape of the Indicator-based Subset Selection Problem. CoRR Keisuke Korogi, Ryoji Tanabe
2025	J	`jnl`	Speeding up Local Search for the Indicator-based Subset Selection Problem by a Candidate List Strategy. CoRR Keisuke Korogi, Ryoji Tanabe
2024	A	`conf`	Benchmarking Parameter Control Methods in Differential Evolution for Mixed-Integer Black-Box Optimization. GECCO Ryoji Tanabe
2024	J	`jnl`	Benchmarking Parameter Control Methods in Differential Evolution for Mixed-Integer Black-Box Optimization. CoRR Ryoji Tanabe
2024	—	`conf`	Contrasting the Landscapes of Feature Selection Under Different Machine Learning Models. PPSN (1) Arnaud Liefooghe, Ryoji Tanabe, Sébastien Vérel
2024	J	`jnl`	Investigating normalization in preference-based evolutionary multi-objective optimization using a reference point. Appl. Soft Comput. Ryoji Tanabe
2024	—	`conf`	On Constructing Algorithm Portfolios in Algorithm Selection for Computationally Expensive Black-box Optimization in the Fixed-budget Setting. GECCO Companion Takushi Yoshikawa, Ryoji Tanabe
2024	J	`jnl`	On Constructing Algorithm Portfolios in Algorithm Selection for Computationally Expensive Black-box Optimization in the Fixed-budget Setting. CoRR Takushi Yoshikawa, Ryoji Tanabe
2024	J	`jnl`	Quality Indicators for Preference-Based Evolutionary Multiobjective Optimization Using a Reference Point: A Review and Analysis. IEEE Trans. Evol. Comput. Ryoji Tanabe, Ke Li
2023	J	`jnl`	Investigating Normalization in Preference-based Evolutionary Multi-objective Optimization Using a Reference Point. CoRR Ryoji Tanabe
2023	A	`conf`	On the Unbounded External Archive and Population Size in Preference-based Evolutionary Multi-objective Optimization Using a Reference Point. GECCO Ryoji Tanabe
2023	J	`jnl`	On the Unbounded External Archive and Population Size in Preference-based Evolutionary Multi-objective Optimization Using a Reference Point. CoRR Ryoji Tanabe
2023	J	`jnl`	Quality Indicators for Preference-based Evolutionary Multi-objective Optimization Using a Reference Point: A Review and Analysis. CoRR Ryoji Tanabe, Ke Li
2022	J	`jnl`	A Two-phase Framework with a Bézier Simplex-based Interpolation Method for Computationally Expensive Multi-objective Optimization. CoRR Ryoji Tanabe, Youhei Akimoto, Ken Kobayashi, Hiroshi Umeki, Shinichi Shirakawa, Naoki Hamada
2022	A	`conf`	A two-phase framework with a bézier simplex-based interpolation method for computationally expensive multi-objective optimization. GECCO Ryoji Tanabe, Youhei Akimoto, Ken Kobayashi, Hiroshi Umeki, Shinichi Shirakawa, Naoki Hamada
2022	J	`jnl`	Benchmarking Feature-Based Algorithm Selection Systems for Black-Box Numerical Optimization. IEEE Trans. Evol. Comput. Ryoji Tanabe
2022	J	`jnl`	Benchmarking the Hooke-Jeeves Method, MTS-LS1, and BSrr on the Large-scale BBOB Function Set. CoRR Ryoji Tanabe
2022	—	`conf`	Benchmarking the hooke-jeeves method, MTS-LS1, and BSrr on the large-scale BBOB function set. GECCO Companion Ryoji Tanabe
2021	J	`jnl`	Benchmarking Feature-based Algorithm Selection Systems for Black-box Numerical Optimization. CoRR Ryoji Tanabe
2021	J	`jnl`	Towards Exploratory Landscape Analysis for Large-scale Optimization: A Dimensionality Reduction Framework. CoRR Ryoji Tanabe
2021	A	`conf`	Towards exploratory landscape analysis for large-scale optimization: a dimensionality reduction framework. GECCO Ryoji Tanabe
2020	J	`jnl`	A Framework to Handle Multi-modal Multi-objective Optimization in Decomposition-based Evolutionary Algorithms. CoRR Ryoji Tanabe, Hisao Ishibuchi
2020	J	`jnl`	A Framework to Handle Multimodal Multiobjective Optimization in Decomposition-Based Evolutionary Algorithms. IEEE Trans. Evol. Comput. Ryoji Tanabe, Hisao Ishibuchi
2020	J	`jnl`	A Niching Indicator-Based Multi-modal Many-objective Optimizer. CoRR Ryoji Tanabe, Hisao Ishibuchi
2020	J	`jnl`	A Review of Evolutionary Multi-modal Multi-objective Optimization. CoRR Ryoji Tanabe, Hisao Ishibuchi
2020	J	`jnl`	A Review of Evolutionary Multimodal Multiobjective Optimization. IEEE Trans. Evol. Comput. Ryoji Tanabe, Hisao Ishibuchi
2020	J	`jnl`	An Analysis of Control Parameters of MOEA/D Under Two Different Optimization Scenarios. CoRR Ryoji Tanabe, Hisao Ishibuchi
2020	J	`jnl`	An Analysis of Quality Indicators Using Approximated Optimal Distributions in a 3-D Objective Space. IEEE Trans. Evol. Comput. Ryoji Tanabe, Hisao Ishibuchi
2020	J	`jnl`	An Analysis of Quality Indicators Using Approximated Optimal Distributions in a Three-dimensional Objective Space. CoRR Ryoji Tanabe, Hisao Ishibuchi
2020	J	`jnl`	An Easy-to-use Real-world Multi-objective Optimization Problem Suite. CoRR Ryoji Tanabe, Hisao Ishibuchi
2020	J	`jnl`	An easy-to-use real-world multi-objective optimization problem suite. Appl. Soft Comput. Ryoji Tanabe, Hisao Ishibuchi
2020	J	`jnl`	Analyzing Adaptive Parameter Landscapes in Parameter Adaptation Methods for Differential Evolution. CoRR Ryoji Tanabe
2020	A	`conf`	Analyzing adaptive parameter landscapes in parameter adaptation methods for differential evolution. GECCO Ryoji Tanabe
2020	J	`jnl`	How Far Are We From an Optimal, Adaptive DE? CoRR Ryoji Tanabe, Alex Fukunaga
2020	J	`jnl`	Non-elitist Evolutionary Multi-objective Optimizers Revisited. CoRR Ryoji Tanabe, Hisao Ishibuchi
2020	J	`jnl`	Review and Analysis of Three Components of Differential Evolution Mutation Operator in MOEA/D-DE. CoRR Ryoji Tanabe, Hisao Ishibuchi
2020	J	`jnl`	Reviewing and Benchmarking Parameter Control Methods in Differential Evolution. CoRR Ryoji Tanabe, Alex Fukunaga
2020	J	`jnl`	Reviewing and Benchmarking Parameter Control Methods in Differential Evolution. IEEE Trans. Cybern. Ryoji Tanabe, Alex Fukunaga
2020	—	`conf`	Revisiting Population Models in Differential Evolution on a Limited Budget of Evaluations. PPSN (1) Ryoji Tanabe
2020	J	`jnl`	TPAM: A Simulation-Based Model for Quantitatively Analyzing Parameter Adaptation Methods. CoRR Ryoji Tanabe, Alex Fukunaga
2019	J	`jnl`	A niching indicator-based multi-modal many-objective optimizer. Swarm Evol. Comput. Ryoji Tanabe, Hisao Ishibuchi
2019	A	`conf`	Non-elitist evolutionary multi-objective optimizers revisited. GECCO Ryoji Tanabe, Hisao Ishibuchi
2019	J	`jnl`	Review and analysis of three components of the differential evolution mutation operator in MOEA/D-DE. Soft Comput. Ryoji Tanabe, Hisao Ishibuchi
2018	—	`conf`	A Decomposition-Based Evolutionary Algorithm for Multi-modal Multi-objective Optimization. PPSN (1) Ryoji Tanabe, Hisao Ishibuchi
2018	J	`jnl`	An analysis of control parameters of MOEA/D under two different optimization scenarios. Appl. Soft Comput. Ryoji Tanabe, Hisao Ishibuchi
2017	B	`conf`	A note on constrained multi-objective optimization benchmark problems. CEC Ryoji Tanabe, Akira Oyama
2017	A	`conf`	Benchmarking MOEAs for multi- and many-objective optimization using an unbounded external archive. GECCO Ryoji Tanabe, Akira Oyama
2017	J	`jnl`	Benchmarking Multi- and Many-Objective Evolutionary Algorithms Under Two Optimization Scenarios. IEEE Access Ryoji Tanabe, Hisao Ishibuchi, Akira Oyama
2017	A	`conf`	TPAM: a simulation-based model for quantitatively analyzing parameter adaptation methods. GECCO Ryoji Tanabe, Alex Fukunaga
2017	C	`conf`	The Impact of Population Size, Number of Children, and Number of Reference Points on the Performance of NSGA-III. EMO Ryoji Tanabe, Akira Oyama
2016	A	`conf`	How Far Are We from an Optimal, Adaptive DE? PPSN Ryoji Tanabe, Alex Fukunaga
2015	—	`conf`	A Note on Multi-Funnel Functions for Expensive Optimization Scenario. GECCO (Companion) Ryoji Tanabe
2015	B	`conf`	Optimization of oil reservoir models using tuned evolutionary algorithms and adaptive differential evolution. CEC Claus Aranha, Ryoji Tanabe, Romain Louis Chassagne, Alex S. Fukunaga
2015	B	`conf`	Tuning differential evolution for cheap, medium, and expensive computational budgets. CEC Ryoji Tanabe, Alex Fukunaga
2014	B	`conf`	Improving the search performance of SHADE using linear population size reduction. IEEE Congress on Evolutionary Computation Ryoji Tanabe, Alex S. Fukunaga
2014	A	`conf`	On the pathological behavior of adaptive differential evolution on hybrid objective functions. GECCO Ryoji Tanabe, Alex S. Fukunaga
2014	A	`conf`	Reevaluating Exponential Crossover in Differential Evolution. PPSN Ryoji Tanabe, Alex Fukunaga
2013	B	`conf`	Evaluating the performance of SHADE on CEC 2013 benchmark problems. IEEE Congress on Evolutionary Computation Ryoji Tanabe, Alex Fukunaga
2013	B	`conf`	Evaluation of a randomized parameter setting strategy for island-model evolutionary algorithms. IEEE Congress on Evolutionary Computation Ryoji Tanabe, Alex Fukunaga
2013	B	`conf`	Success-history based parameter adaptation for Differential Evolution. IEEE Congress on Evolutionary Computation Ryoji Tanabe, Alex Fukunaga