DocumentCode
1643555
Title
Eagle strategy with flower algorithm
Author
Xin-She Yang ; Deb, Sujay ; Xingshi He
Author_Institution
Sch. of Sci. & Technol., Middlesex Univ., London, UK
fYear
2013
Firstpage
1213
Lastpage
1217
Abstract
For any metaheuristic algorithm, it is important to balance exploration and exploitation because the interaction of these two key components can significantly affect the efficiency. However, how to achieve a fine balance is still an open problem. We attempt to explore this challenging issue by using eagle strategy in combination with the recently developed flower algorithm. Our results on test benchmarks suggest that more effort should focus on explorative search for multimodal problems.
Keywords
optimisation; search problems; eagle strategy; exploitation; exploration; explorative search; flower algorithm; metaheuristic algorithm; multimodal problem; Algorithm design and analysis; Benchmark testing; Optimization; Particle swarm optimization; Search problems; Space exploration; Switches; Eagle strategy; flower algorithm; metaheuristic; nature-inspired algorithm; optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Advances in Computing, Communications and Informatics (ICACCI), 2013 International Conference on
Conference_Location
Mysore
Print_ISBN
978-1-4799-2432-5
Type
conf
DOI
10.1109/ICACCI.2013.6637350
Filename
6637350
Link To Document