Recent advances in Multi-objective Cuckoo Search Algorithm, its variants and applications

被引:3
作者
Makhadmeh, Sharif Naser [1 ]
Awadallah, Mohammed A. [3 ]
Kassaymeh, Sofian [5 ]
Al-Betar, Mohammed Azmi [2 ,4 ]
Sanjalawe, Yousef [1 ]
Kouka, Shaimaa [2 ]
Al-Redhaei, Anessa [2 ]
机构
[1] Univ Jordan UJ, King Abdullah II School Informat Technol, Dept Informat Technol, Amman 11942, Jordan
[2] Ajman Univ, Coll Engn & Informat Technol, Artificial Intelligence Res Ctr AIRC, Ajman, U Arab Emirates
[3] Al Aqsa Univ, Dept Comp Sci, POB 4051, Gaza 4051, Palestine
[4] Al Ahliyya Amman Univ, Hourani Ctr Appl Sci Res, POB 19328, Amman, Jordan
[5] Aqaba Univ Technol, Fac Informat Technol, Software Engn Dept, Aqaba, Jordan
关键词
OPTIMIZATION DESIGN; LEVY FLIGHTS; NETWORK;
D O I
10.1007/s11831-025-10240-9
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The Cuckoo Search Algorithm (CSA) is an optimization algorithm inspired by the brood parasitism behavior of cuckoo birds. It mimics the reproductive and breeding tactics of cuckoos to tackle optimization challenges. To better handle multi-objective optimization problems (MOPs), a variation called the multi-objective CSA (MOCSA) has been developed. MOCSA is designed to uncover a spectrum of solutions, each providing a balance between various objectives, thereby allowing decision-makers to choose the optimal solution according to their specific preferences. The literature has witnessed a notable increase in the number of published MOCSAs, with MOCSA research papers recorded in the SCOPUS database. This paper presents a comprehensive survey of 123 distinct variants of MOCSAs published in scientific journals. Through this survey, researchers will gain insights into the growth of MOCSA, the theoretical foundations of multi-objective optimization and the MOCSA algorithm, the various existing MOCSA variants documented in the literature, the application domains in which MOCSA has been employed, and a critical analysis of its performance. In sum, this paper provides future research directions for MOCSA. Overall, this survey provides a valuable resource for researchers seeking to explore and understand the advancements, applications, and potential future developments in the field of multi-objective CSA.
引用
收藏
页码:3213 / 3240
页数:28
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