Cuckoo Search Algorithm: Review and its Application

Al-Abaji, Manar Abdulkareem

doi:10.25130/tjps.v26i2.130

Cited by 11 publications

(7 citation statements)

References 11 publications

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“…Built around the following three rules, the Cs algorithm is a unique swarm intelligence bionic optimization method that draws inspiration from the breeding behavior of cuckoos [23][24].…”

Section: Cuckoo Search Algorithmmentioning

confidence: 99%

Analysis of the Implementation Path of Civic Education Work in institution of higher education under the Background of Internet+

Zeng

2023

Applied Mathematics and Nonlinear Sciences

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In this work, the ideology and political characteristics are iteratively calculated using Cuckoo Search Algorithms and the Extreme Learning Machine. The ideology and political objective function are then obtained using CS-ELM. A CS-ELM-based index framework for ideology and political education effect in educational institutions is developed, all of the bird’s nest objective function values are calculated, as well as the bird’s nest position with the highest objective function value is retained in order to accurately and effectively evaluate the current state of ideology and political education effect in educational institutions. The experimental data set is an evaluation of the ideology and political education effects of colleges and universities from 2013 to 2022. Research and analysis are conducted on the evaluation of ideology and political education in institution of higher education in order to remove the quantitative definition of the collected raw data, and mixing is used to process the raw data to make it into a dimensionless one. The hierarchy of higher education has an impact on the establishment of high-quality economies. The CS-ELM model is the best way to assess ideology and political teaching effectiveness in higher education institutions, as per the results. This is because, when looking at the evaluation from an overall perspective, the RMSE value is 0.007, and the R-value is 0.995. This study enhances the quality of instruction in the classroom, promotes a positive environment and attitude, and motivates students to be actively involved in their education.

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“…Built around the following three rules, the Cs algorithm is a unique swarm intelligence bionic optimization method that draws inspiration from the breeding behavior of cuckoos [23][24].…”

Section: Cuckoo Search Algorithmmentioning

confidence: 99%

Analysis of the Implementation Path of Civic Education Work in institution of higher education under the Background of Internet+

Zeng

2023

Applied Mathematics and Nonlinear Sciences

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“…In recent years, the application of CS has grown, making it a compelling choice for tackling intricate optimization challenges [ 27 , 28 ]. Moreover, the choice of CS is driven by its effectiveness in handling intricate and high-dimensional datasets [ 29 ]. Despite its advantages, CS is prone to suboptimal solutions due to an inadequate balance between exploration and exploitation phases [ 30 ].…”

Section: Introductionmentioning

confidence: 99%

Enhancing Medical Image Classification with an Advanced Feature Selection Algorithm: A Novel Approach to Improving the Cuckoo Search Algorithm by Incorporating Caputo Fractional Order

Habeb,

Taresh,

et al. 2024

Diagnostics

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Glaucoma is a chronic eye condition that seriously impairs vision and requires early diagnosis and treatment. Automated detection techniques are essential for obtaining a timely diagnosis. In this paper, we propose a novel method for feature selection that integrates the cuckoo search algorithm with Caputo fractional order (CFO-CS) to enhance the performance of glaucoma classification. However, when using the infinite series, the Caputo definition has memory length truncation issues. Therefore, we suggest a fixed memory step and an adjustable term count for optimization. We conducted experiments integrating various feature extraction techniques, including histograms of oriented gradients (HOGs), local binary patterns (LBPs), and deep features from MobileNet and VGG19, to create a unified vector. We evaluate the informative features selected from the proposed method using the k-nearest neighbor. Furthermore, we use data augmentation to enhance the diversity and quantity of the training set. The proposed method enhances convergence speed and the attainment of optimal solutions during training. The results demonstrate superior performance on the test set, achieving 92.62% accuracy, 94.70% precision, 93.52% F1-Score, 92.98% specificity, 92.36% sensitivity, and 85.00% Matthew’s correlation coefficient. The results confirm the efficiency of the proposed method, rendering it a generalizable and applicable technique in ophthalmology.

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“…Even though academics have made a lot of progress, there are still worries about transferring technology to meet the need for flexibility in modern manufacturing facilities. JSSP has attracted a lot of attention in the literature because the solution is made more complicated by the need to meet the opposing demands of batch and continuous production [2]. However, the researches in the recent decade has focused on novel problem-solving techniques such as optimization algorithms.…”

Section: Introductionmentioning

confidence: 99%

“…However, the researches in the recent decade has focused on novel problem-solving techniques such as optimization algorithms. These techniques have shown to be a significant advancement in solving JSSP with less computing effort and more solid outcomes [2]. Firstly, job scheduling is designed using a mathematical model as well as operational research to find the best global solution.…”

Section: Introductionmentioning

confidence: 99%

Job Scheduling By Using Swarm Intelligent Algorithms: survey

Ahmed,

Hasan

2023

J. Al-Qadisiyah Comp. Sci. Math.

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The job scheduling problem is used in industry, manufacturing, job planning, and the network environment to manage users’ jobs on the right machines with different limitations. There are three types of job scheduling problems. Firstly, job shop scheduling means each job is executed on a determined sequence of machines specified previously. While in the flow shop scheduling problem, each job can be carried on one idle sequencing using a job queue. The third type, open shop, the sequence of jobs can be carried out on any free machine. This paper describes the various types of job scheduling problems and the various swarm intelligence algorithms, particularly cuckoo search algorithm, that can used to solve them.

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Cuckoo Search Algorithm: Review and its Application

Cited by 11 publications

References 11 publications

Analysis of the Implementation Path of Civic Education Work in institution of higher education under the Background of Internet+

Analysis of the Implementation Path of Civic Education Work in institution of higher education under the Background of Internet+

Enhancing Medical Image Classification with an Advanced Feature Selection Algorithm: A Novel Approach to Improving the Cuckoo Search Algorithm by Incorporating Caputo Fractional Order

Job Scheduling By Using Swarm Intelligent Algorithms: survey

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