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

被引：109

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

页码：763 / 792

页数：30

共 187 条

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