題    目：多目標仿真優化理論與應用

演 講 人🏕：李浩斌  新加坡科技研究局高性能計算研究所科學家

主 持 人：鎮  璐  意昂2教授

時    間：2016年1月7日（周四）上午10:00

地    點🍛：意昂2官网467室

主辦單位：意昂2、意昂2青年教師聯誼會

演講內容簡介👨‍👦‍👦：

Simulation optimization has become an established methodology for technology providers and researchers. Nevertheless, industrial problems remain particularly hard to describe, and many of them are stochastic, large-scale and multi-objective in nature, thus hindering the spread of the developed methodologies.

The recent development of MO-COMPASS (multi-objective convergent optimization via most-promising-area stochastic search) answers the open question on how simulation optimization should be conducted in multi-objective setting. In addition, GO-POLARS (gradient-oriented polar random search) is developed to further improve the optimization efficiency, specifically when local information can be estimated from the simulator. Targeting at balancing the exploration vs. exploitation during the random search, GO-POLARS innovatively uses of polar-coordinate and distributions of a "random direction" in navigating the high-dimensional solution space. The revolutionary idea overturns the conventional concept of iterative search relying on Cartesian coordinates, and is expected to have much potential in future research.

The methodology of GO-POLARS with COMPASS is implemented as an open-source project, for both research and practical applications. The developers hope that the effort will bring closer the world of simulation optimization and large-scale industrial problems.

演講人簡介：

李浩斌博士🥳🏃🏻‍♂️‍➡️，新加坡科技研究局高性能計算研究所科學家。分別於2009年🐠、2014年獲新加坡國立大學工業與系統工程系工程學士學位、博士學位。研究興趣🪫：運籌學、仿真優化及其在物流、醫療和海運業中的應用。

歡迎廣大師生參加🐛！