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                <identifier>ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai:2:5630</identifier>
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                    <dim:field mdschema="dc" element="title" lang="en">Implementation and Performance of an Object-Oriented Software System for Cuckoo Search Algorithm</dim:field>
                    <dim:field mdschema="dc" element="date" qualifier="issued">2012</dim:field>
                    <dim:field mdschema="dc" element="identifier" qualifier="uri">http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/2/5630</dim:field>
                    <dim:field mdschema="dc" element="identifier" qualifier="uri">https://pdfs.semanticscholar.org/b65f/cd36896ec7fc5690f469c68c7bed02864815.pdf</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="orcid::0000-0002-2062-924X" confidence="-1">N. Bacanin</dim:field>
                    <dim:field mdschema="dc" element="description" qualifier="abstract">Evolutionary computation (EC) algorithms have been successfully applied to hard optimization problems. In this very active research area one of the newest EC algorithms is a cuckoo search (CS) metaheuristic for unconstrained optimization problems which was developed by Yang and Deb in MATLAB software. This paper presents our software implementation of CS algorithm which we called CSApp. CSApp is an object-oriented system which is fast, robust, scalable and error prone. User friendly graphical user interface (GUI) enables simple adjustment of algorithm&amp;apos;s control parameters. The system was successfully tested on standard benchmark functions for unconstrained problems with various number of parameters. CSApp software, as well as experimental results are presented in this paper. 

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                    <dim:field mdschema="dc" element="identifier" qualifier="issn">1998-0159</dim:field>
                    <dim:field mdschema="dc" element="source">International Journal of Mathematics and Computers in Simulation</dim:field>
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