Keynote Speakers of ISMSI2018 



Prof. Qingfu Zhang

City University of Hong Kong 

Biography: Qingfu Zhang is a Professor at the Department of Computer Science, City University of Hong Kong. His main research interests include evolutionary computation, optimization, neural networks, data analysis, and their applications. He is currently leading the Metaheuristic Optimization Research (MOP) Group in City University of Hong Kong. Professor Zhang is an Associate Editor of the IEEE Transactions on Evolutionary Computation and the IEEE Transactions Cybernetics. He was awarded the 2010 IEEE Transactions on Evolutionary Computation Outstanding Paper Award. He is on the list of the Thomson Reuters 2016 highly cited researchers in computer science. He is an IEEE fellow.

Title of Speech: Recent Progress on MOEA/D  

Abstract: Multiobjective Optimization Evolutionary Algorithms (MOEA/D) have been a widely used and studied evolutionary multiobjective optimization (EMO)) algorithmic framework over the last few years. MOEA/D borrows ideas from traditional optimization. It decomposes a multiobjective problem into a number of subtasks, and then solves them in a collaborative manner. MOEA/D provides a very natural bridge between multiobjective evolutionary algorithms and traditional decomposition methods. In this talk, I will explain the basic ideas behind MOEA/D and some recent developments. I will also outline some possible research issues in multiobjective evolutionary computation.


Prof. Andries Engelbrecht

University of Pretoria, South Africa 

Biography: Andries Engelbrecht received the Masters and PhD degrees in Computer Science from the University of Stellenbosch, South Africa, in 1994 and 1999 respectively. He is a Professor in Computer Science at the University of Pretoria, and serves as Head of the department. He also holds the position of South African Research Chair in Artificial Intelligence. His research interests include swarm intelligence, evolutionary computation, artificial neural networks, artificial immune systems, and the application of these Computational Intelligence paradigms to data mining, games, bioinformatics, finance, and difficult optimization problems. He is author of two books, Computational Intelligence: An Introduction and Fundamentals of Computational Swarm Intelligence, and has published over 230 articles in Computational Intelligence. He holds an A-rating from the South African National Research Foundation.
Prof Engelbrecht is very active in the international community, annually serving as reviewer for over 20 journals and 10 conferences. He is an Associate Editor of the IEEE Transactions on Evolutionary Computation, IEEE Transactions on Neural Networks and Learning Systems, and the Swarm Intelligence Journal. He served on the international program committee and organizing committee of a number of conferences, organized special sessions, presented tutorials, and took part in panel discussions. He was the founding chair of the South African chapter of the IEEE Computational Intelligence Society. He is a member of the Evolutionary Computation Technical Committee and the Neural Networks Technical Committee, and serves as member of a number of task forces.


Prof. Thomas Hanne

University of Applied Sciences and Arts Northwestern Switzerland, Switzerland 

Biography: Thomas Hanne received master's degrees in Economics and Computer Science, and a PhD in Economics. From 1999 to 2007 he worked at the Fraunhofer Institute for Industrial Mathematics (ITWM) as senior scientist. Since then he is Professor for Information Systems at the University of Applied Sciences and Arts Northwestern Switzerland and Head of Competence Center Systems Engineering since 2012. Thomas Hanne is author of more than 100 journal articles, conference papers, and other publications and editor of several journals and special issues. His current research interests include multicriteria decision analysis, evolutionary algorithms, metaheuristics, optimization, simulation, systems engineering, software development, logistics, and supply chain management. 

Title of Speech: Metaheuristics for Problems in Logistics and Supply Chain Management 

Abstract: In the presentation we give a short overview of metaheuristic concepts and logistics / supply chain management (SCM). Some particular areas of logistics and SCM problems are discussed in more details. We focus on two aspects, the usually NP-hard nature of the respective planning problems and the vast amount of problem variants specific to a company or a planning scenario. Both of them suggest to use metaheuristics but the second aspect requires special attention since adaptation of standard metaheuristics or new approaches might be necessary for feasible and sufficiently good results.