World Journal of Engineering Research and Technology (WJERT) has indexed with various reputed international bodies like : Google Scholar , Index Copernicus , Indian Science Publications , SOCOLAR, China , International Institute of Organized Research (I2OR) , Cosmos Impact Factor , Research Bible, Fuchu, Tokyo. JAPAN , Scientific Indexing Services (SIS) , Jour Informatics (Under Process) , UDLedge Science Citation Index , International Impact Factor Services , International Scientific Indexing, UAE , International Society for Research Activity (ISRA) Journal Impact Factor (JIF) , International Innovative Journal Impact Factor (IIJIF) , Science Library Index, Dubai, United Arab Emirates , Scientific Journal Impact Factor (SJIF) , Science Library Index, Dubai, United Arab Emirates , Eurasian Scientific Journal Index (ESJI) , Global Impact Factor (0.342) , IFSIJ Measure of Journal Quality , Web of Science Group (Under Process) , Directory of Research Journals Indexing , Scholar Article Journal Index (SAJI) , International Scientific Indexing ( ISI ) , Scope Database , 

World Journal of Engineering
Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

ISSN 2454-695X

Impact Factor : 5.924

ICV : 79.45

News & Updation

  • Article Invited for Publication

    Article are invited for publication in WJERT Coming Issue

  • ICV

    WJERT Rank with Index Copernicus Value 79.45 due to high reputation at International Level

  • WJERT: FEBRUARY ISSUE PUBLISHED

    FEBRUARY 2023 Issue has been successfully launched on 1 February 2023.

  • New Issue Published

    Its Our pleasure to inform you that, WJERT February 2023 Issue has been Published, Kindly check it on https://www.wjert.org/home/current_issues

  • WJERT New Impact Factor

    Its our Pleasure to Inform you that WJERT Impact Factor has been increased from  5.549 to 5.924 due to high quality Publication at International Level

Indexing

Abstract

A COMPARATIVE STUDY OF PARTICLE SWARM OPTIMIZATION AND GRAVITATIONAL SEARCH ALGORITHM IN POULTRY HOUSE TEMPERATURE CONTROL SYSTEM

B. O. Ola, O. O. Awodoye* and J. P. Oguntoye*

ABSTRACT

Low or unexpected rise in temperature is a major factor affect the effectiveness and productivity of broiler chickens. Maintaining and keeping the temperature at normal level is essential to reducing the mortality rate and increase the productivity of the poultry. Some Nature Inspired Algorithms (NIAs) which have proven to be efficient have been adopted to regulate the temperature of the poultry house. However, various studies have shown that there is no algorithm that can achieve the best solution for all optimization problems, and that some algorithms give a better solution for some problems than the others. Therefore, in this study, a comparative analysis of the Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA) in Poultry House Temperature Control System. The experiment results show that both PSO and GSA were able to regulated the poultry house efficiently. However, PSO proved to be more efficient than GSA in terms of cost and computational time. The PSO is able to find better solutions and converges faster compared to the Gravitational Search Algorithm. It is therefore, recommended that PSO should be adopted instead of GSA in poultry house temperature regulation systems.

[Full Text Article]