讲座题目: 分布式建筑集群的能源运作优化-基于多目标的粒子群算法

主讲人：胡孟琪，助理教授，美国伊利诺伊大学芝加哥分校

时间：2015年11月23日（周一）下午1:30-3:30

地点：旭日楼107室

简历：

胡孟琪博士，美国伊利诺伊大学芝加哥分校工业工程系助理教授。胡博士分别于2010年和2012年获美国亚利桑那州立大学工业工程专业的硕士、博士学位。2006年本科毕业于华中科技大学材料工程专业。2012-2015年8月任美国密西西比州立大学工业工程系助理教授。目前任职于伊利诺伊大学芝加哥分校工业工程系。胡博士的主要研究方向包括复杂系统优化、分布式决策支持、Swarm群体智能算法；并应用于能源系统优化、制造系统及医疗健康领域。胡博士是2015年美国AFOSR教职奖获得者，已经发表15篇高质量的期刊论文；并获得美国国家自然基金委NSF、DOD等机构资助的多个科研项目。

讲座介绍：

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.