Back to results
Bibliographic record · Consultation and access
Artículo

The Use of Original and Hybrid Flower Pollination Algorithm In Estimating The Parameters of Software Reliability Growth Models

Jamal Alneamy et al · University of Mosul, College of Education for Pure Science · 2019

Open-access full text
Quick overview. Review the resource’s basic details, then access the content using the main button. This page shows only the information needed to identify, cite, and open the work.
Serial publication

A Comparative Study Between Lipid A Extracted from Salmonella typhi and Pseudomonas Aeruginosa to Demonstrate the Extent of its Stimulation of Immune System

This serial publication contains 109 related contents.

Resource access

Open the content from the main option or choose another available source.

DOAJ DOAJ Articles
Entrar por DOAJ
Main access

Open-access full text

Texto completo identificado como acceso abierto.
Open text

Summary

Descripción general del contenido del recurso.

In order to assess software reliability, many software reliability growth models (SRGMs) have been used for estimation of reliability growth. . In this work, the parameters of (SRGMs) were estimated by using Flower Pollination Algorithm (FPA). Then, the (FPA) was hybrid with Real Coded Genetic Algorithm (RGA) to obtain Hybrid FPA (HFPA).<br /> The results that obtained from (FPA) are compared to the results of five algorithms: Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), the Dichotomous Artificial Bee Colony (DABC), Classic Genetic Algorithm (CGA) and the Modified Genetic Algorithm (MGA).<br /> The results showed that (FPA) outperformed the rest of the algorithms in parameters estimating accuracy and performance using identical datasets. Sometimes, the (DABC) showed better performance than (FPA).<br /> Other comparisons were made between (FPA) and (HFPA) and the results show that the hybrid algorithm outperformed the original one.<br /> <span style="text-decoration: underline;"> </span>

How to cite

Elegí el formato que necesitás y copiá la referencia al portapapeles.

APA 7

al, J. A. E. (2019). The Use of Original and Hybrid Flower Pollination Algorithm In Estimating The Parameters of Software Reliability Growth Models. https://doi.org/10.33899/edusj.2019.161189

MLA

al, Jamal Alneamy et. "The Use of Original and Hybrid Flower Pollination Algorithm In Estimating The Parameters of Software Reliability Growth Models." 2019. https://doi.org/10.33899/edusj.2019.161189.

Chicago

al, Jamal Alneamy et. 2019. "The Use of Original and Hybrid Flower Pollination Algorithm In Estimating The Parameters of Software Reliability Growth Models.". https://doi.org/10.33899/edusj.2019.161189.

Harvard

al, J. A. E. 2019, The Use of Original and Hybrid Flower Pollination Algorithm In Estimating The Parameters of Software Reliability Growth Models, University of Mosul, College of Education for Pure Science, available at: https://doi.org/10.33899/edusj.2019.161189 [Accessed 6 Aug. 2026].

Share and print

Save the record, copy its permanent link, or print it as a PDF.

Export reference

You can export the record in common formats for use in a reference manager.

Resource details

Bibliographic information to help confirm that this is the correct material.

Title
The Use of Original and Hybrid Flower Pollination Algorithm In Estimating The Parameters of Software Reliability Growth Models
Author / contributors
Jamal Alneamy et al
Publisher
University of Mosul, College of Education for Pure Science
Publication year
2019
ISSN
1812-125X
ISSN
1812-125X
Language
English

Subjects

Explore related resources through these subjects.

Copied