University of Leicester

computer science

Evolutionary Algorithms for Dynamic Optimisation Problems: Design, Analysis and Applications


Evolutionary algorithms (EAs) have been applied to solve many stationary problems. However, real-world problems are usually more complex and dynamic, where the objective function, decision variables, and environmental parameters may change over time. In this project, we will investigate novel EA approaches to address dynamic optimisation problems (DOPs), a challenging but very important research area. The research has three main aspects: (1) designing and evaluating new EAs for DOPs, (2) theoretically analysing EAs for DOPs, and (3) adapting developed EA approaches to solve dynamic telecommunication optimisation problems.

This project is a collaborative project between Universities of Leicester and Birmingham, British Telecommunication Plc (BT) and Honda Research Institute Europe GmbH. The total funding from EPSRC is £571,438 (£307,469 to Leicester under Grant EP/E060722/1 and £263,969 to Birmingham under Grant EP/E058884/1). In addition to the support from EPSRC, Honda also contributes €20,000 in cash toward this project. This project is for a duration of three years from 01 October 2007 to 30 September 2010.

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Author: Shengxiang Yang (
© University of Leicester. Last modified: Mon 14 May 2007.
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