A quick semantic artificial bee colony programming (qsABCP) for symbolic regression
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- @Article{GORKEMLI:2019:IS,
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author = "Beyza Gorkemli and Dervis Karaboga",
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title = "A quick semantic artificial bee colony programming
(qs{ABCP)} for symbolic regression",
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journal = "Information Sciences",
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volume = "502",
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pages = "346--362",
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year = "2019",
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ISSN = "0020-0255",
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DOI = "doi:10.1016/j.ins.2019.06.052",
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URL = "http://www.sciencedirect.com/science/article/pii/S0020025519305900",
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keywords = "genetic algorithms, genetic programming, Artificial
bee colony programming (ABCP), Semantic ABCP, Quick
ABCP, Quick semantic ABCP, Symbolic regression",
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abstract = "Artificial bee colony programming (ABCP) is a novel
evolutionary computation based automatic programming
method, which uses the basic structure of artificial
bee colony (ABC) algorithm. In this paper, some studies
were conducted to improve the performance of ABCP and
three new versions of ABCP are introduced. One of these
improvements is related to the convergence performance
of ABCP. In order to increase the local search ability
and achieve higher quality solutions in early cycles,
quick ABCP algorithm was developed. Experimental
studies validate the enhancement of the convergence
performance when the quick ABC approach is used in
ABCP. The second improvement introduced in this paper
is about providing high locality. Using semantic
similarity based operators in the information sharing
mechanism of ABCP, semantic ABCP was developed and
experiment results show that semantic based information
sharing improves solution quality. Finally, combining
these two methods, quick semantic ABCP is introduced.
Performance of these novel methods was compared with
some well known automatic programming algorithms on
literature test problems. Additionally, ABCP based
methods were used to find approximations of the
Colebrook equation for flow friction. Simulation
results show that, the proposed methods can be used to
solve symbolic regression problems effectively",
- }
Genetic Programming entries for
Beyza Gorkemli
Dervis Karaboga
Citations