A modified cuckoo search using different search strategies

Yıl 2016, Cilt: 4 Sayı: Special Issue-1, 190 - 194, 26.12.2016

Hüseyin Haklı

Öz

Cuckoo search (CS) is one of the recent population-based algorithms used
for solving continuous optimization problems. The most known problem for
optimization techniques is balancing between exploration and exploitation. CS
uses two search strategies to updating the nest: local and global search.  Although cuckoo search are adequate for the
exploration, it is not well enough the exploitation. Only one search equation
is used for local search, this equation remains incapable and causes some
deficiencies about the exploitation.  To
enhance the ability of exploitation and to balance between global search and
local search, different search strategies were implemented in CS algorithm. The
proposed method was compared with basic CS on well-known unimodal and multimodal
benchmark functions. Experimental results show that the proposed method is more
successful than the basic CS in terms of solution quality.

Anahtar Kelimeler

Cuckoo search, Continuous optimization

Kaynakça

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