An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications

被引：127
作者：
Abu Zitar, Raedal [1 ]
Al-Betar, Mohammed Azmi [2 ,3 ]
Awadallah, Mohammed A. [2 ,4 ]
Abu Doush, Iyad [5 ,6 ]
Assaleh, Khaled [2 ]
机构：
[1] Sorbonne Univ Abu Dhabi, Sorbonne Univ Ctr Artificial Intelligence, Abu Dhabi, U Arab Emirates
[2] Ajman Univ, Coll Engn & Informat Technol, Artificial Intelligence Res Ctr AIRC, Abu Dhabi, U Arab Emirates
[3] Al Balqa Appl Univ, Al Huson Univ Coll, Dept Informat Technol, Irbid, Jordan
[4] Al Aqsa Univ, Dept Comp Sci, POB 4051, Gaza, Palestine
[5] Amer Univ Kuwait, Comp Dept, Salmiya, Kuwait
[6] Yarmouk Univ, Comp Sci Dept, Irbid, Jordan
来源：
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING | 2022年 / 29卷 / 02期
关键词：
JAYA Algorithm; Metaheuristics; Optimization; Exploration; Exploitation; MULTIOBJECTIVE DESIGN OPTIMIZATION; HYBRID JAYA; HEURISTIC OPTIMIZATION; PARAMETER-ESTIMATION; TRUSS STRUCTURES; IDENTIFICATION; PARALLEL; SYSTEM; MODEL; METAHEURISTICS;
D O I：
10.1007/s11831-021-09585-8
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this review paper, JAYA algorithm, which is a recent population-based algorithm is intensively overviewed. The JAYA algorithm combines the survival of the fittest principle from evolutionary algorithms as well as the global optimal solution attractions of Swarm Intelligence methods. Initially, the optimization model and convergence characteristics of JAYA algorithm are carefully analyzed. Thereafter, the proposed versions of JAYA algorithm have been surveyed such as modified, binary, hybridized, parallel, chaotic, multi-objective and others. The various applications tackled using relevant versions of JAYA algorithm are also discussed and summarized based on several problem domains. Furthermore, the open sources code of JAYA algorithm are identified to provide enrich resources for JAYA research communities. The critical analysis of JAYA algorithm reveals its advantages and limitations in dealing with optimization problems. Finally, the paper ends up with conclusion and possible future enhancements suggested to improve the performance of JAYA algorithm. The reader of this overview will determine the best domains and applications used by JAYA algorithm and can justify their JAYA-related contributions.
引用
收藏
页码：763 / 792
页数：30
相关论文
共 187 条
[11]  
Anjaneyulu K., 2020, Materials Today Proceedings, V41, P1035, DOI [10.1016/j.matpr.2020.06.568, DOI 10.1016/J.MATPR.2020.06.568]
[12]  
Arnold DV, 2002, IEEE T EVOLUT COMPUT, V6, P30, DOI [10.1109/4235.985690, 10.1023/A:1015059928466]
[13]   JayaX: Jaya algorithm with xor operator for binary optimization [J].
Aslan, Murat ;
Gunduz, Mesut ;
Kiran, Mustafa Servet .
APPLIED SOFT COMPUTING, 2019, 82
[14]   Binary JAYA Algorithm with Adaptive Mutation for Feature Selection [J].
Awadallah, Mohammed A. ;
Al-Betar, Mohammed Azmi ;
Hammouri, Abdelaziz, I ;
Alomari, Osama Ahmad .
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2020, 45 (12) :10875-10890
[15]   Island artificial bee colony for global optimization [J].
Awadallah, Mohammed A. ;
Al-Betar, Mohammed Azmi ;
Bolaji, Asaju La'aro ;
Abu Doush, Iyad ;
Hammouri, Abdelaziz, I ;
Mafarja, Majdi .
SOFT COMPUTING, 2020, 24 (17) :13461-13487
[16]   Optimum design of fuzzy controller using hybrid ant lion optimizer and Jaya algorithm [J].
Azizi, Mahdi ;
Ghasemi, Seyyed Arash Mousavi ;
Ejlali, Reza Goli ;
Talatahari, Siamak .
ARTIFICIAL INTELLIGENCE REVIEW, 2020, 53 (03) :1553-1584
[17]   A new optimal gene selection approach for cancer classification using enhanced Jaya-based forest optimization algorithm [J].
Baliarsingh, Santos Kumar ;
Vipsita, Swati ;
Dash, Bodhisattva .
NEURAL COMPUTING & APPLICATIONS, 2020, 32 (12) :8599-8616
[18]  
Baluja S., 1994, POPULATION BASED INC, DOI DOI 10.5555/865123
[19]  
Bansal Mukesh, 2018, INT J INTELL ENG SYS, V11, P275
[20]  
Barakat AF, 2019, PROCEEDINGS OF 2019 INTERNATIONAL CONFERENCE ON INNOVATIVE TRENDS IN COMPUTER ENGINEERING (ITCE 2019), P479, DOI [10.1109/itce.2019.8646363, 10.1109/ITCE.2019.8646363]
12345678910