Event Details

Evolutionary Computation for Dynamic Optimization Problems

Evolutionary Computation (EC) encapsulates a class of stochastic optimisation algorithms, which are inspired by principles from natural and biological evolution. EC has been widely used for solving stationary optimisation problems in many fields. However, many real-world problems are dynamic optimisation problems (DOPs), which are subject to changes over time. DOPs have attracted a growing interest from the EC community in the last two decades due to the importance in EC’s real-world applications. This talk will first briefly introduce the concept of EC for DOPs, then review the main approaches developed to enhance EC methods for DOPs, and describe several case studies. The current trends on EC for DOPs will then be discussed, before finally, the challenges and future work on EC for DOPs will be briefly considered.