People

Faculty

Ryoji Tanabe    Research Assistant Professor

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Research Area:

Optimization, Evolutionary Computation, Computational Intelligence

Educational Background

* 2013.04-2016.03, The University of Tokyo, Ph.D in Science 

* 2011.04-2013.03, Sophia University, M.S in Engineering

* 2006.04-2011.03, Sophia University, B.S in Engineering


Professional Experience

* 2017.04-Present,  Research assistant professor, Department of Computer Science and Engineering, Southern University of Science and Technology, China

* 2016.04-2017.03, Postdoctoral researcher at Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency (ISAS/JAXA), Japan

* 2014.04-2016.03, Research Fellow of Japan Society for the Promotion of Science (DC2), Japan


Honors & Awards

Winner of the IEEE CEC2014 Competition on Real-Parameter Single Objective Optimization


Selected Publication

* R. Tanabe and A. Oyama: The Impact of Population Size, Number of Children, and Number of Reference Points on The Performance of NSGA-III, Proc. Evolutionary Multi-Criterion Optimization (EMO), Munster, March, 2017.

* R. Tanabe and A. Fukunaga: How Far Are We From an Optimal, Adaptive DE?, Proc. Parallel Problem Solving from Nature (PPSN), Edinburgh, September, 2016.

* R. Tanabe and A. Fukunaga: Tuning Differential Evolution for Cheap, Medium, and Expensive Computational Budgets, Proc. IEEE Congress on Evolutionary Computation (CEC), Sendai, May, 2015.

* C. Aranha, R. Tanabe, R. Chassagne, A. Fukunaga: Optimization of Oil Reservoir Models Using Tuned Evolutionary Algorithms and Adaptive Differential Evolution, Proc. IEEE Congress on Evolutionary Computation (CEC), Sendai, May, 2015.

* R. Tanabe and A. Fukunaga: Reevaluating Exponential Crossover in Differential Evolution, Proc. Parallel Problem Solving from Nature (PPSN), Ljubljana, September, 2014.

* R. Tanabe and A. Fukunaga: On the Pathological Behavior of Adaptive Differential Evolution on Hybrid Objective Functions, Proc. ACM Genetic and Evolutionary Computation Conference (GECCO), Vancouver, July, 2014.

* R. Tanabe and A. Fukunaga: Improving the Search Performance of SHADE Using Linear Population Size Reduction, Proc. IEEE Congress on Evolutionary Computation (CEC), Beijing, July, 2014.

* R. Tanabe and A. Fukunaga: Evaluation of a Randomized Parameter Setting Strategy for Island-Model Evolutionary Algorithms, Proc. IEEE Congress on Evolutionary Computation (CEC), Cancun, June, 2013.

* R. Tanabe and A. Fukunaga: Success-History Based Parameter Adaptation for Differential Evolution, Proc. IEEE Congress on Evolutionary Computation (CEC), Cancun, June, 2013.

* R. Tanabe and A. Fukunaga: Evaluating the performance of SHADE on CEC 2013 benchmark problems, Proc. IEEE Congress on Evolutionary Computation (CEC), Cancun, June, 2013.


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