Metaheuristic Method for Transport Modelling and Optimization
Speakers: Professor Stefka Fidanova, & Dr. Velislava Stoykova, Bulgarian Academy of Sciences
Time: 6.00pm for 6.30pm start, to finish approximately 8pm,
Venue: Solent University, East Park Terrace, Southampton, SO14 0RD, in The Spark Building, room TS 011. Directions and maps at http://www.solent.ac.uk/about/find-us/find-us.aspx,
Cost: Free and open to both BCS and Non-BCS Members, No booking necessary.
This is a joint event with BCS Hampshire Branch, BCSWomen, Solent University, & SMAT Computing Subject Group
Description – This session of two presentations, will outline the latest developments in Metaheuristic Method for Transport Modelling and Optimization and in Teaching Supercomputers
18.00 Start for 18.30 start
20.00 estimated end
Metaheuristic Method for Transport Modelling and Optimization – Wireless sensor networks are formed by spatially distributed sensors, which communicate in a wireless way. This network can monitor various kinds of environment and physical conditions like movement, noise, light, humidity, images, chemical substances etc. A special device called high energy communication node collects data from all the sensors and sends them to be processed. A given area need to be fully covered with minimal number of sensors and the energy consumption of the network needs to minimal too. The problem is multi-objective with two objective function. We propose Ant Colony Optimization algorithm to solve it.
Bio of Professor Stefka Fidanova – She works in the Institute of Information and Communication Technologies at Bulgarian Academy of Sciences. She obtained her MSc degree on applied mathematics and PhD degree on Computer Science from Sofia University, Sofia Bulgaria. Her field of research include combinatorial optimization, parallel computing, mathematical modelling. Stafka FIdanova web site is: http://parallel.bas.bg/~stefka/
Teaching Supercomputers focusses on results of semantic search analysis of the key educational concepts and their conceptual relations presented in the course “Supercomputers I and II” taught at the School of Media, Arts and Technology at the Solent Southampton University during the 2015–2019 academic years. The study uses Big Data Analytics approaches to extract the domain key concepts and to outline their pedagogical interconnections which reflect the structure of course lectures, so to teach ‘supercomputers’ as an university subject with its specificity and to allow students to acquire that knowledge comprehensively by having the insight of its key concepts as well as of its practical applications. The study uses the Sketch Engine software’s statistical approaches, so to extract the key terms (related to the key concepts in the field) from the course texts lectures and to compare their semantic content with that produced by the students (feedback) in the related courses taught at some other universities in UK. It, also, outlines the importance of the ‘activity-based learning approach’ used for supporting the teaching process, so to improve the acquired knowledge by the use of Solent Online Learning system allowing interactive and distant web-based learning.
Bio of Dr. Velislava Stoykova, who is is Chief Assistant Professor at Department of Terminology and Terminography, The Institute for Bulgarian Language, Bulgarian Academy of Science.
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