主講題目：Decomposition and Cooperative Coevolution Techniques for Large Scale Global Optimization

 

In this talk Xiaodong Li will provide an overview on the recent development of CC algorithms for LSGO problems, in particular those extended from the original Potter and De Jong’s CC model. One key challenge in applying CC is how to best decompose a problem in a way such that the inter-dependency between subcomponents can be kept at minimum. Another challenge is how to best allocate a fixed computational budget among different subcomponents when there is an imbalance of contributions from these subcomponents. Equally dividing the budget among these subcomponents and optimizing each through a round-robin fashion (as in the classic CC method) may not be a wise strategy, since it can waste lots of computational resource. Many more research questions still remain to be answered. In recent years, several interesting decomposition methods (or variable grouping methods) have been proposed. This talk will briefly survey these methods, and identify their strengths and weakness. The talk will also describe a contribution-based method for better allocating computation among the subcomponents.  Finally Xiaodong Li will present a newly designed variable grouping method, namely differential grouping, which outperforms those early surveyed decomposition methods.

 

主講人：李曉東 博士/副教授 （澳大利亞墨爾本皇家理工大學(xué)）
  澳大利亞墨爾本皇家理工大學(xué)，信息科學(xué)與工程學(xué)院副教授，他的研究興趣包括進(jìn)化計(jì)算,神經(jīng)網(wǎng)絡(luò),復(fù)雜的系統(tǒng),多目標(biāo)優(yōu)化和群體智能，為IEEE Transactions on Evolutionary Computation 和International Journal of Swarm Intelligence Research的副主編，同時(shí)也是IEEE CIS Task Force on Swarm Intelligence的副主席和IEEE CIS Task Force on Large Scale Global Optimization的主席。曾獲得“2013 SIGEVO”最優(yōu)影響力獎(jiǎng)。

 

主持人：段斌 教授、博導(dǎo)
講座地點(diǎn)：逸夫樓第一報(bào)告廳
講座時(shí)間：2016 年 4 月 12日（星期二） 下午4:00

 

歡迎廣大師生參加 ！

                                                  教務(wù)處
                                                  信息工程學(xué)院