Advertisement

Evolutionary Computation in the Real World: Successes and Challenges

  • Graham Kendall
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 245)

Abstract

Evolutionary Computation has the potential to address many problems which may seem intractable to some of the methodologies that are available today. After briefly describing what evolutionary computation is (and what it is not), I will outline some of the success stories before moving onto the challenges we face in having these algorithms adopted by the industrial community at large.Some of the areas I will draw upon include Checkers and Chess, Scheduling and Timetabling, Hyper-heuristics and Meta-heuristics, as well some other problems drawn from the Operational Research literature.

Keywords

Artificial Intelligence Real World Operational Research Computational Intelligence Research Literature 
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.

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Graham Kendall
    • 1
  1. 1.The University of NottinghamSelangor Darul EhsanMalaysia

Personalised recommendations