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Dr. Luigi Barone has been working with evolutionary algorithms (EAs) for over ten years and has a detailed knowledge of the different kinds of these algorithms, as well as hands-on experience in implementing many of them.
His research has been both into practical applications of EAs as well as theoretical implications arising from their use.
Dr. Barone has experience in applying these types of optimisation techniques to many different kinds of problems including adaptive learning, opponent modelling, scheduling, and engineering design problems.
Dr. Barone has won several competitive research grants for funding work in this area.
Dr. Barone has been employed as an associate lecturer within the School since 2001.
He is the unit coordinator for the foundation computer science unit as well as a core data structures and algorithms unit.
In 2006, he will also help develop and deliver a new level one unit on the C programming language.
Dr. Barone is also the honours coordinator for the School.
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Projects
- Email Spam Detection using a Memetic Evolutionary Algorithm
TBA
- An Investigation of the Effects of Noise on Evolutionary Algorithms
TBA
- Conversion of Multi-objective Evolutionary Algorithm to a Single-Objective Evolutionary Algorithm using Hypervolume
TBA
- Test Function Generation and Performance Evaluation for Multi-objective Evolutionary Algorithms
TBA
- Using Evolutionary Algorithms for Opponent Modelling in Games of Imperfect Information
TBA
Experience has shown that it can be very beneficial for research students to have a group of people with related interests to share ideas with.
A student undertaking any of the above projects is expected to join the Adaptive Systems Research Group and will be expected to attend and contribute to group meetings and discussions.
Such a student will be housed in the Adaptive Systems Research Group Laboratory in G.11 of the Computer Science building.
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CRICOS Provider Code: 00126G
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