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 :
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