PLENARY: Multiobjective evolutionary optimization in space engineering and spin-off to industry

Akira Oyama, Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency, JAPAN. ABSTRACT: "Multiobjective evolutionary computation (MOEC) is getting popular in Japan because it has various advantages such as capability of finding wide variety of Pareto-optimal designs. In Japan Aerospace Exploration Agency (JAXA), I have been engaged in multiobjective design optimizations in space engineering such as rocket engine turbopump design, spacecraft trajectory design, reusable space transportation system design, spacecraft landing system design, selection of Moon landing site. In this talk, I will introduce some examples of these applications of MOEC in JAXA. Then, I will introduce spinoff of the multiobjective design optimization technology to industry. Here, I will present the collaboration work with Mazda, Kobe University, and Hiroshima University for aerodynamic car shape design and the collaboration work with Central Japan Railway Company for aerodynamic and aeroacoustics design of superconducting maglev. Finally, I will discuss current issues in using MOEC for real-world design problems and our recent approaches to overcome these issues."