Seminar Announcement
These events are organized by various sub-sets of the IEEE Toronto Section.
The contact person listed below is the volunteer who has arranged this event.
Please use the e-mail link provided if you have any questions, suggestions,
or concerns.
| Title
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Risk-Based Multiobjective Optimization for a Vehicle Fleet Mix Problem
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| Speaker
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Slawo Wesolkowski
Scientist, DRDC CORA
Adjunct Professor, University of Waterloo
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| Day and Time
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Monday, November 2, 2009, 6:30 p.m. – 8:00 p.m.
Arrive 20 minutes earlier and meet friends & colleagues |
| Location
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Room GB 120
Galbraith Building
University of Toronto
35 St. George Street
University of Toronto
map - select GB |
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| Organizer
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Signals & Computational Intelligence Chapter |
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| Contact
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Anna T. Lawniczak E-mail:
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| Abstract |
Organizations transporting people and cargo are concerned about determining how many vehicles they need to accomplish required transportation tasks. Those approaches usually involve using Discrete Event Simulation (DES). However, integrating DES in a framework to determine an optimal fleet is impossible due to the high computational cost of DEVS and the very large combinatorial space of possible fleets. Therefore, a surrogate or approximate model for DES needs to be devised. In this talk, I will introduce the Stochastic Fleet Estimation (SaFE) model, a very simple Monte Carlo-based model, which generates a vehicle fleet based on the average set of required tasks that the fleet is supposed to accomplish (the average fleet). I will then use this model within a multiobjective optimization framework (using NSGA II as the optimizer) in order to determine optimal fleets with respect to different objectives. The optimization searches for Pareto-optimal combinations of valid platform-assignments for a list of tasks, which can be applied to entire scenarios output by SaFE. I use the following three objectives: performance, cost and risk. Variance information associated with the average platform numbers generated by SaFE is used to determine the cost of the fleet needed to accomplish 95% of future scenarios (the maximum fleet). The risk objective is based on the difference between the maximum fleet and the average fleet. I will show and compare optimal solution fleets based on three objectives..
| | Biography |
Slawo Wesolkowski is a Scientist at DRDC CORA. He has previously worked for Vantage Point International (now C-CORE), NCR Canada Ltd., Nortel, Moteurs Leroy-Somer (France), the University of Waterloo, and the National Research Council of Canada. He holds five US patents, and one Canadian/EU patent. He has published over 20 conference and journal papers. He obtained BASc, MASc and PhD degrees in Systems Design Engineering from the University of Waterloo, Canada.
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