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Survey of EC in Dynamic Environments

  • Ian Dempsey
  • Michael O’Neill
  • Anthony Brabazon
Part of the Studies in Computational Intelligence book series (SCI, volume 194)

Introduction

The domain of EC in dynamic environments can be broken up into four main areas. This chapter is therefore divided up into four sections so as to comprehensively detail the prior art in the field as it stands. Section 3.2 focuses on the definition of dynamic environments. It examines the different types of changes that can occur as well as the features of each type of change that differentiate it from the other. Section 3.3 identifies the various approaches researchers have adopted in attempting to tune the EC paradigm to dynamic environments. Following from this, Section 3.4 describes the difficulties encountered when trying to measure the performance of an evolutionary algorithm placed in a dynamic environment. It also covers the types of metrics adopted to date. Section 3.5 looks at the different benchmark problems explored in the literature. The chapter then continues with a review of the findings of this survey in Section 3.6.

Keywords

Dynamic Environment Benchmark Problem Implicit Memory Explicit Memory Multiple Population 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Ian Dempsey
    • Michael O’Neill
      • Anthony Brabazon

        There are no affiliations available

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