Title :
Towards a more complete classification system for dynamically changing environments
Author :
Duhain, Julien G O L ; Engelbrecht, Andries P.
Author_Institution :
Dept. of Comput. Sci., Univ. of Pretoria, Pretoria, South Africa
Abstract :
In spite of substantial research applying evolutionary algorithms and swarm based algorithms to solve dynamic problems, the classification of dynamic environments is missing universal standards. This paper examines the various methods used so far to characterise dynamic optimisation problems and proposes an inclusive classification system. Additionally, a way to generate environments of each type using the moving peak benchmark is described.
Keywords :
dynamic programming; evolutionary computation; pattern classification; classification system; dynamic environment clasification; dynamic optimisation problems; dynamically changing environments; evolutionary algorithms; moving peak benchmark; swarm based algorithms; Correlation; Equations; Heuristic algorithms; Large Hadron Collider; Mathematical model; Optimization; Trajectory;
Conference_Titel :
Evolutionary Computation (CEC), 2012 IEEE Congress on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4673-1510-4
Electronic_ISBN :
978-1-4673-1508-1
DOI :
10.1109/CEC.2012.6252881
