The field of evolutionary dynamic optimization is concerned with the study and application of evolutionary algorithms to dynamic optimization problems. In this chapter we highlight some of the challenges associated with the time-variant nature of these problems.We focus particularly on the different problem definitions that have been proposed, the modelling of dynamic optimization problems in terms of benchmark suites and the way the performance of an algorithm is assessed. Amid significant developments in the last decade, several practitioners have highlighted shortcomings with all of these fundamental issues. In this chapter we review the work done in each of these areas, evaluate the criticism and subsequently identify some perspectives for the future of the field. © 2013 Springer-Verlag Berlin Heidelberg.
|Title of host publication
|Evolutionary Computation for Dynamic Optimization Problems
|Shengxiang YANG, Xin YAO
|Number of pages
|Published - 2013
|Studies in Computational Intelligence