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Department of Computer Science Colloquium
2007 Series

Online Evolutionary Algorithms

Dr. Alfredo Milani
Department of Mathematics & Computing Science
University of Perugia

Date: April 3, 2007 (Tuesday)
Time: 10:30 - 11:30 am
Venue: SCT909, Cha Chi Ming Science Tower, Ho Sin Hang Campus

The problem of providing services to a mass of anonymous users whose goals and needs evolve over time in unpredictable way is common to many application domains of information technology, from web to mobile communication from news broadcasting to advertising. On the other hand, information based services are products which can be produced and delivered instantaneously in, virtually unlimited, different instances. The basic idea of the proposed approach is to use the evolutionary scheme of genetic algorithms in order to dynamically adapt to the audience and service evolution while optimizing the global systems performance. Experimental results shows the feasibility of the approach. An application of online evolutionary algorithms to web newspaper will be also presented and discussed. In the second part of the seminar there will be outlines of ongoing researches at the Knowledge and Information technologies Lab of Dept.of Mathematics & Computer Science University of Perugia.

Alfredo Milani, is Associate Professor of Computer Science, and member of the Faculty of Mathematical, Physical and Natural Sciences of University of Perugia. He received a Laurea in Science dell'Informazione from University of Pisa, Italy in 1987, his thesis was awarded by Olivetti Since 1987 he was research fellow at National Research Council Institute for Computational Linguistic, ILC-CNR, of Pisa Italy and professional consultant of University of Pisa. In 1990 he obtained the position of tenured reasearcher at Department of Matematics of University of Perugia. In 2001 he was appointed Associate Professor of Computer Science at Department of Mathematics and Computer Science of University of Perugia. His reasearch interests involves the area of Artificial Intelligence and focuses on automated planning and evolutionary algorithms, with applications to web based adaptive systems, image processing, and more generally knowledge based technologies.

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