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Estimation of Distribution Algorithms

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  • Tue, 11/29/2016 - 3:00pm - 5:00pm




Estimation of Distribution Algorithms

PhD. Comprehensive Exam by:

Sourodeep Bhattacharjee

Date: November 29, 2016.
Time: 3:00 pm – 5:00 pm
Location: Lambton Tower LT - 3105

Abstract: Estimation of distribution algorithms (EDAs) are stochastic optimization techniques that explore the space of potential solutions by building and sampling explicit probabilistic models of promising candidate solutions. Discussion will include applications, advantages and disadvantages of EDAs in general. Various techniques employed to improve performance of EDAs will also be discussed. We will take a look at different types of EDAs such as Discrete, Continuous, Multi-objective etc. along with essential algorithms for each type.

Thesis Committee:     
Internal Readers:         Dr. Boubakeur Boufama, Dr. Imran Ahmad
External Reader:          Dr. Ken Drouillard
Advisor:                      Dr. Robin Gras



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