Lecture by Hiroaki Fukumoto: A Generic Framework for Incorporating Constraint Handling Techniques into Multi-Objective Evolutionary Algorithms, 10 April 2018 at 9.00 | Department of Intelligent Systems

Lecture by Hiroaki Fukumoto: A Generic Framework for Incorporating Constraint Handling Techniques into Multi-Objective Evolutionary Algorithms, 10 April 2018 at 9.00

April 3rd, 2018

We invite you to a lecture to be given on Tuesday, 10 April 2018, at 9.00 in the orange room at the Jozef Stefan Institute, Jamova cesta 39, Ljubljana:

Hiroaki Fukumoto
Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency

A Generic Framework for Incorporating Constraint Handling Techniques into Multi-Objective Evolutionary Algorithms

Abstract: A generic framework for incorporating constraint handling techniques (CHTs) into multi-objective evolutionary algorithms (MOEAs) is proposed to resolve the differences between MOEAs from algorithmic and implementation perspective with respect to the incorporation of CHTs. To verify the effectiveness of the proposed framework, the performances of the combined algorithms of some CHTs and MOEAs on various benchmark problems are investigated with the proposed framework.

Hiroaki Fukumoto’s CV: Hiroaki Fukumoto is a postdoctoral researcher at Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency in Japan. He received his Ph.D. in aerospace engineering at the University of Tokyo in Japan in 2017. He worked for Mazda motor company from 2011 to 2014. He works for Japan Aerospace Exploration Agency since 2017. His research interests include aerospace engineering, aerodynamics, design optimization, and machine learning.

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