PhD studentship: Bidirectional Incremental Evolution in Evolvable Hardware

Organisation: Brunel University

Location: London

Salary: £7500

Closing date:

Description: A PhD studentship is available at Brunel Univerisity to work on ideas in evolvable hardware design, involving things like evolutionary computation, incremental evolution, decomposition theory, and so on.

 A major problem in the evolutionary design of combinational circuits is the problem of scale. This refers to the design of electronic circuits in which the number of gates required to implement the optimal circuit, the number of inputs and outputs of implemented logic function are too high to search the space of all designs in reasonable time. This problem can be overcome by applying a bi-directional incremental evolution to evolvable hardware. The objective of this project is to investigate in detail the behaviour of the bi-directional incremental evolution and design the set of metrics applicable to solve the combinational circuit design problem. The metrics chosen are closely connected to the type of decomposition used, therefore the set of decomposition methods applicable to be used in the bi-directional incremental evolution has to be defined. The initial aim of the project is to develop a system that can provide the combinational circuit evolution using extrinsic Evolvable Hardware with bi-directional incremental evolution. The principal objectives are:

1. To investigate a bi-directional incremental evolution and combine this approach with heuristic approaches, that can be used to evolve the circuits of large number of variables.

2.To develop and design an expandable computer-based system that integrates the extrinsic Evolvable Hardware with bi-directional incremental evolution.

3. Extensive test and evaluation of the method and software using IEEE benchmarks.

 Applicants must be UK or EU nationals and should have obtained, or expect to obtain, a good degree in Computer Science, Engineering, Mathematics or related disciplines. You should also have some knowledge of soft computing techniques including neural networks, fuzzy logic and genetic algorithms.

For an informal discussion, please, contact Dr Tatiana Kalganova, tel: (0)1895 274 000 ext. 2829, or alternatively, please, e-mail your CV to: tatiana.kalganova@brunel.ac.uk