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学术报告
2016.9.5 Dr. Swagatam Das:Differential Evolution for Continuous Parameter Evolutionary Optimization
发布时间:2016-09-02        浏览次数:361


讲座题目:Differential Evolution for Continuous Parameter Evolutionary Optimization

报告人Swagatam Das博士

主持人:周爱民 副教授

报告时间 20169516:00-17:00

报告地点:中山北路3663号华东师范大学理科大楼B816

 

报告摘要

    Differential Evolution (DE) is arguably one of the most powerful stochastic real-parameter optimization algorithms of current interest. DE operates through similar computational steps as employed by a standard Evolutionary Algorithm (EA). However, unlike
traditional EAs, the DE variants perturb the current-generation population members with the scaled differences of distinct population members. Therefore, no separate probability distribution has to be used for generating the offspring. Since its inception in 1995, DE has drawn the attention of many researchers all over the world resulting in a lot of variants of the basic algorithm with improved performance. This talk will begin with a brief but comprehensive overview of the basic concepts related to DE, its algorithmic components and control parameters. It will subsequently discuss some of the significant algorithmic variants of DE for bound constrained single-objective optimization. Application of the DE family of algorithms in complex optimization scenarios like constrained, large-scale, dynamic and multi-modal optimization problems will also be included. The talk will finally highlight a few open research problems.

报告人简介

    Dr. Swagatam Dasis currently serving as an assistant professor at the Electronics and Communication Sciences Unit of the Indian Statistical Institute, Kolkata, India. His research interests include evolutionary computing, pattern recognition, multi-agent systems, and wireless communication. Dr. Das has published one research monograph, one edited volume, and more than 200 research articles in peer-reviewed journals and international conferences. He is the founding co-editor-in-chief of “Swarm and Evolutionary Computation”, an international journal from Elsevier. He has also served as or is serving as the associate editors of a number of reputed journals. Dr. Das has 9800+ Google Scholar citations and an H-index of 49 till date. He has been associated with the international program committees and organizing committees of several regular international conferences including IEEE CEC, IEEE SSCI, SEAL, GECCO, and SEMCCO. He has acted as guest editors for special issues in journals like IEEE Transactions on Evolutionary Computation and IEEE Transactions on SMC, Part C. He is the recipient of the 2012 Young Engineer Award from the Indian National Academy of Engineering (INAE).He is also the recipient of the 2015 Thomson Reuters Research Excellence India Citation Award as the highest cited researcher from India in Engineering and Computer Science category
between 2010 to 2014.

 

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