Grant Dick

Biography

Dr Grant Dick is a member of the 100-level teaching group and has a background in Information Systems development. Outside of teaching, his research interests include: Computational Intelligence methods, in particular evolutionary computation; Adaptive business intelligence; Multimodal and multi-objective problem solving; Theoretical population genetics; Evolving systems, particularly the role of population structure in speciation. His PhD thesis explored the use of computational intelligence for multimodal problem solving. The techniques developed in his thesis are applicable to problems that possess potentially many equally-viable solutions. Examples of my work have appeared in internationally-respected journals, such as IEEE Transactions of Evolutionary Computation, Theoretical Population Biology and Soft Computing.

Research Interest

Grant's overall research goal is to discover intelligent methods to solve difficult real-world problems. Broadly speaking, he is interested in computational intelligence methods and their application to scheduling, optimisation, data mining and multi-objective problem solving. His primary research interest is in computational intelligence, which attempts to mimic problem solving techniques found in natural systems to solve difficult real-world problems. Computational intelligence methods are often able to reveal solutions to problems where “traditional” methods have previously failed. They are often useful in environments where desirable outcomes are constantly changing, or when complete descriptions of the desired solution are difficult to obtain.