​​ICIICII 2020

​​The Fourth International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration 

Shantou, China  

December 18-19, 2020

Invited Speech

​​

Local landscape

​​

Co-sponsors

Yiping Liu, PhD, Associate Professor


College of Computer Science and Electronic Engineering, Hunan University, China     



Title: Handling imbalance between convergence and diversity in the 

        decision space in evolutionary multi-modal multi-objective optimization



Abstract
      There may exist more than one Pareto optimal solution with the same objective vector to a multi-modal multi-objective optimization problem (MMOP). The difficulties in finding such solutions can be different. Existing evolutionary multi-modal multi-objective algorithms are unable to solve such an MMOP due to their convergence-first selection criteria. They quickly converge to the Pareto optimal solutions which are easy to find and therefore lose diversity in the decision space. That is, such an MMOP features an imbalance between achieving convergence and preserving diversity in the decision space. This talk discusses a set of imbalanced distance minimization benchmark problems and a novel evolutionary algorithm to solve these problems.

Biography
     Dr. Yiping Liu is an Associate Professor at the College of Computer Science and Electronic Engineering, Hunan University, China. He is also a Visiting Researcher at the Department of Computer Science and Intelligent Systems, Osaka Prefecture University, Japan, where he was an Assistant Professor from 2018 to 2020. He received his Bachelor’s degree in Electrical Engineering and Automation and his Ph.D. degree in Control Theory and Control Engineering from China University of Mining and Technology in 2012 and 2017, respectively. Between 2016 and 2017, he was a visiting researcher at the School of Electrical and Computer Engineering, Oklahoma State University, USA. His research interests include computational intelligence and its applications, evolutionary computation, optimization, machine learning. So far, he has authored/co-authored more than 20 journal and conference papers, which are published on IEEE-TEVC, IEEE-TCYB, ECJ, etc. He won the Best Paper Award of GECCO in 2018 and the Excellent Doctoral Thesis of Jiangsu Province in 2019.
  • The bird's-eye view of Shantou University
  • Nan’ao  Island
  • Nan'ao Bridge
  • Zhongshan Pavilion
  • Shantou Coastal Corridor
  • Lotus Pond
  • Gentleman Sculpture Group
Jie Mei, PhD, Associate Professor


Wuhan Univerisity of Technology, P.R. China     



Title: Simulation and experiment for Doubly-clamped Flexible

         Piezoelectric Energy Harvester



Abstract
      Flexible piezoelectric energy harvester is a thin-film energy harvester with a laminated structure, which is composed of flexible piezoelectric material attached to a flexible substrate. It is used to convert mechanical energy into electrical energy so as to power wearable, portable electronic equipment or wireless sensors. However, from an application point of view, low power output and insufficient sensitivity to environmental changes are the main obstacles hindering the widespread application of current energy harvesters in engineering practice. Using limited space to design a structure with large deformability to convert low-frequency vibration into electrical energy to the maximum extent is an effective way to increase the output power of the flexible piezoelectric energy harvester. Therefore, this paper provided a flexible piezoelectric energy harvester based on a corrugated structure to improve its environmental sensitivity and output power. Combining Euler-Bernoulli beam theory and D'Alembert principle, the differential dynamic equation of the corrugated energy harvester is derived where the excitation mode of axial load under the initial defect is considered. Analytical solutions of voltage amplitude and average power is obtained using Rayleigh–Ritz method. Then the influence of excitation frequency and load resistance on the output voltage of the corrugated piezoelectric energy harvesting device is studied through numerical simulation. It can be concluded that the effect of the corrugated flexible energy harvester will be significantly improved when the frequency is around 20-25Hz with load resistance of 106Ω. Finally, a prototype of the corrugated piezoelectric energy harvesting device was made and its output performance was tested. The experimental results are basically consistent with the simulation results.

Biography
      Jie Mei, Ph.D., associate professor, from Wuhan University of Technology. His research interest mainly focuses on flexible piezoelectric energy harvester, robotic fish, Virtual reality and Mechanism design.
Last
First
Previous