Computer Science

News and events

4 December 2013

Evolutionary Computation for Dynamic Optimisation Problems

Presented By Professor Shengxiang Yang, De Montfort University
  • 3.30pm
  • N.1.12, Haslegrave Building

About this event

Abstract: Evolutionary Computation (EC) encapsulates a class of stochastic optimisation algorithms, which are inspired by principles from natural and biological evolution. EC methods have been widely used for optimisation problems in many fields. Traditionally, EC methods have been applied for solving static problems. However, many real world problems are dynamic optimisation problems (DOPs), which are subject to changes over time due to many factors. DOPs pose serious challenges to traditional EC methods since they cannot adapt well to a changing environment once converged. DOPs have attracted a growing interest from the EC community in recent years due to the importance in the real-world applications of EC. This talk will first briefly introduce the concept of DOPs and several benchmark DOPs for testing EC methods, then review the main approaches developed to enhance EC methods for DOPs, and describe several detailed approaches developed for EC methods for DOPs. This talk will then present some case studies on EC for DOPs in the real world. Finally, some conclusions will be made based on the work presented and the future work on EC for DOPs will be briefly discussed.