Title :
Metaheuristic Algorithms for Self-Organizing Systems: A Tutorial
Author_Institution :
Nat. Phys. Lab., Math. & Sci. Comput., Teddington, UK
Abstract :
By analyzing the similarity of a self-organizing system and an optimization process, we highlight that optimization can be considered as self-organization. We analyze the characteristics of some popular met heuristic algorithms such as firefly algorithm and cuckoo search for applications in self-organizing systems.
Keywords :
optimisation; search problems; self-adjusting systems; cuckoo search; firefly algorithm; metaheuristic algorithms; optimization process; self-organizing systems; Algorithm design and analysis; Chemicals; Conferences; Heuristic algorithms; Optimization; Organisms; Search problems; Algorithm; bat algorithm; cuckoo search; firefly algorithm; optimization; self-organizing systems;
Conference_Titel :
Self-Adaptive and Self-Organizing Systems (SASO), 2012 IEEE Sixth International Conference on
Conference_Location :
Lyon
Print_ISBN :
978-1-4673-3126-5
DOI :
10.1109/SASO.2012.40
