講座題目: 分布式建築集群的能源運作優化-基于多目标的粒子群算法

主講人：胡孟琪，助理教授，美國伊利諾伊大學芝加哥分校

時間：2015年11月23日（周一）下午1:30-3:30

地點：旭日樓107室

簡曆：

胡孟琪博士，美國伊利諾伊大學芝加哥分校工業工程系助理教授。胡博士分别于2010年和2012年獲美國亞利桑那州立大學工業工程專業的碩士、博士學位。2006年本科畢業于華中科技大學材料工程專業。2012-2015年8月任美國密西西比州立大學工業工程系助理教授。目前任職于伊利諾伊大學芝加哥分校工業工程系。胡博士的主要研究方向包括複雜系統優化、分布式決策支持、Swarm群體智能算法；并應用于能源系統優化、制造系統及醫療健康領域。胡博士是2015年美國AFOSR教職獎獲得者，已經發表15篇高質量的期刊論文；并獲得美國國家自然基金委NSF、DOD等機構資助的多個科研項目。

講座介紹：

Title: An Augmented Multi-Objective Particle Swarm Optimizer for Distributed Building Clusters Operation

The emerging technologies in smart building, smart grid, renewable energy, as well as distributed energy resources drive research moving from centralized operation decisions on a single building to decentralized decisions on temporally and spatially distributed building clusters which share energy resources locally and globally. Optimizing operating energy systems in the building clusters will result in cost effective buildings. In this research, we first develop a mixed integer non-linear multi-objective decision model based on a building clusters simulator with each building modeled by energy consumption, storage and generation sub modules. Secondly, we propose a bi-level distributed decision framework based on an augmented multi-objective particle swarm optimization (AMOPSO) to study the tradeoff in energy usage among the group of buildings. AMOPSO is augmented via the fusion of multiple search methods to enhance PSO’s search capability on a diverse set of search spaces. Extensive experiments are conducted to compare the proposed AMOPSO with nine multi-objective PSO algorithms (MOPSOs) and multi-objective evolutionary algorithms (MOEAs).

Bio

Dr. Mengqi Hu received his Ph.D. and M.S. degrees in Industrial Engineering from Arizona State University in 2012 and 2010 respectively. He has also received his M.S. and B.S. degrees in Material Science and Engineering from Huazhong University of Science and Technology, China, in 2008 and 2006, respectively. He joined the Department of Mechanical and Industrial Engineering at the University of Illinois at Chicago as a tenure-track Assistant Professor in August 2015. He also worked as a tenure-track Assistant Professor in the Department of Industrial and Systems Engineering at Mississippi State University from August 2012 to August 2015. His main areas of interests are complex system design and optimization, distributed decision support, swarm intelligence and system analytics, with applications to energy, manufacturing and healthcare systems. Most of his research projects are funded by NSF, DOD, DOT, NSA and Mayo Clinic Foundation. He is a recipient of 2015 AFOSR summer faculty fellow award. He has published 15 high quality journal articles and 8 peer-reviewed conference papers.