A new hybrid algorithm of pattern search and ABC for optimization

Author

Meftahi, Mojtaba ; Jazi, Saeed Heydarzadeh

Author_Institution

Fac. of Electr. & Comput. Eng., Univ. of Tabriz, Tabriz, Iran

fYear

2012

fDate

2-3 May 2012

Firstpage

403

Lastpage

406

Abstract

The wide and growing use of optimization in every branch of science and technology makes it an important issue for researchers. There are two kinds of algorithm for optimization problem: deterministic and stochastic. To overcome the disadvantages of them, we proposed a new hybrid algorithm. In our algorithm we selected Pattern Search (PS) as deterministic and Artificial Bee Colony (ABC) as stochastic. This algorithm is based on the population of points that perform PS and use ABC strategy to move. We evaluate the proposed algorithm on the some benchmark functions and the results are very promising.

Keywords

deterministic algorithms; optimisation; search problems; stochastic processes; ABC; PS algorithm; artificial bee colony; deterministic algorithm; hybrid algorithm; optimization problem; pattern search algorithm; point population; stochastic algorithm; Algorithm design and analysis; Benchmark testing; Educational institutions; Optimization; Signal processing algorithms; Sociology; Statistics; Artificial Bee Colony; Numerical Optimization; Pattern Search; Population Based Algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence and Signal Processing (AISP), 2012 16th CSI International Symposium on

Conference_Location

Shiraz, Fars

Print_ISBN

978-1-4673-1478-7

Type

conf

DOI

10.1109/AISP.2012.6313781

Filename

6313781