Ryoji Tanabe

Orcid: 0000-0003-4049-0393

According to our database1, Ryoji Tanabe authored at least 37 papers between 2013 and 2023.

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

Timeline

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Bibliography

2023
Investigating Normalization in Preference-based Evolutionary Multi-objective Optimization Using a Reference Point.
CoRR, 2023

Quality Indicators for Preference-based Evolutionary Multi-objective Optimization Using a Reference Point: A Review and Analysis.
CoRR, 2023

On the Unbounded External Archive and Population Size in Preference-based Evolutionary Multi-objective Optimization Using a Reference Point.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

2022
Benchmarking Feature-Based Algorithm Selection Systems for Black-Box Numerical Optimization.
IEEE Trans. Evol. Comput., 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

Benchmarking the hooke-jeeves method, MTS-LS1, and BSrr on the large-scale BBOB function set.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021
Towards exploratory landscape analysis for large-scale optimization: a dimensionality reduction framework.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
An Analysis of Quality Indicators Using Approximated Optimal Distributions in a 3-D Objective Space.
IEEE Trans. Evol. Comput., 2020

A Framework to Handle Multimodal Multiobjective Optimization in Decomposition-Based Evolutionary Algorithms.
IEEE Trans. Evol. Comput., 2020

A Review of Evolutionary Multimodal Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2020

Reviewing and Benchmarking Parameter Control Methods in Differential Evolution.
IEEE Trans. Cybern., 2020

A Framework to Handle Multi-modal Multi-objective Optimization in Decomposition-based Evolutionary Algorithms.
CoRR, 2020

A Review of Evolutionary Multi-modal Multi-objective Optimization.
CoRR, 2020

An Analysis of Quality Indicators Using Approximated Optimal Distributions in a Three-dimensional Objective Space.
CoRR, 2020

An easy-to-use real-world multi-objective optimization problem suite.
Appl. Soft Comput., 2020

Revisiting Population Models in Differential Evolution on a Limited Budget of Evaluations.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Analyzing adaptive parameter landscapes in parameter adaptation methods for differential evolution.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
A niching indicator-based multi-modal many-objective optimizer.
Swarm Evol. Comput., 2019

Review and analysis of three components of the differential evolution mutation operator in MOEA/D-DE.
Soft Comput., 2019

Non-elitist evolutionary multi-objective optimizers revisited.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018
An analysis of control parameters of MOEA/D under two different optimization scenarios.
Appl. Soft Comput., 2018

A Decomposition-Based Evolutionary Algorithm for Multi-modal Multi-objective Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

2017
Benchmarking Multi- and Many-Objective Evolutionary Algorithms Under Two Optimization Scenarios.
IEEE Access, 2017

Benchmarking MOEAs for multi- and many-objective optimization using an unbounded external archive.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

TPAM: a simulation-based model for quantitatively analyzing parameter adaptation methods.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

The Impact of Population Size, Number of Children, and Number of Reference Points on the Performance of NSGA-III.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

A note on constrained multi-objective optimization benchmark problems.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
How Far Are We from an Optimal, Adaptive DE?
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

2015
A Note on Multi-Funnel Functions for Expensive Optimization Scenario.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Tuning differential evolution for cheap, medium, and expensive computational budgets.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Optimization of oil reservoir models using tuned evolutionary algorithms and adaptive differential evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Reevaluating Exponential Crossover in Differential Evolution.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

On the pathological behavior of adaptive differential evolution on hybrid objective functions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Improving the search performance of SHADE using linear population size reduction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Evaluating the performance of SHADE on CEC 2013 benchmark problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Evaluation of a randomized parameter setting strategy for island-model evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Success-history based parameter adaptation for Differential Evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013


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