Different environmental conditions in genetic algorithm

Lee, Daekyung; Kim, Beom Jun

doi:10.1016/j.physa.2022.127604

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…Genetic Algorithms (GA) was once such an algorithm introduced by John Holland in 1975 (Lee & Kim, 2022). The search heuristic known as GA was influenced by Charles Darwin's theory of evolution by natural selection.…”

Section: Bio-inspired Algorithmsmentioning

confidence: 99%

A review on soft computing approaches for predicting maintainability of software: State‐of‐the‐art, technical challenges, and future directions

Yenduri

Gadekallu

2023

Expert Systems

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The software is changing rapidly with the invention of advanced technologies and methodologies. The ability to rapidly and successfully upgrade software in response to changing business requirements is more vital than ever. For the long‐term management of software products, measuring software maintainability is crucial. The use of soft computing techniques for software maintainability prediction has shown immense promise in software maintenance process by providing accurate prediction of software maintainability. To better understand the role of soft computing techniques for software maintainability prediction, we aim to provide a systematic literature review of soft computing techniques for predicting software maintainability. Firstly, we provide a detailed overview of software maintainability. Following this, we explore the fundamentals of software maintainability and the reasons for adopting soft computing methodologies for predicting software maintainability. Later, we examine the soft computing approaches employed in the process of software maintainability prediction. Furthermore, we discuss the difficulties and potential solutions associated with the use of soft computing techniques in predicting maintainability of software. Finally, we conclude the review with some promising future directions to drive further research innovations and developments in this promising area. This systematic literature review provides a comprehensive overview of the soft computing strategies utilized for software maintainability for future researchers.

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Section: Bio-inspired Algorithmsmentioning

confidence: 99%

A review on soft computing approaches for predicting maintainability of software: State‐of‐the‐art, technical challenges, and future directions

Yenduri

Gadekallu

2023

Expert Systems

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“…The basic idea of the algorithm [6][7][8] is to start from the starting point and select the closest and unvisited point to the current point as the next visited point each time until all points have been visited and then return to the starting point. The main advantages of this algorithm [9] are that it is simple to understand, easy to implement, and can find acceptable solutions for small and medium scale problems.…”

Section: The Nearest Neighbor Algorithmmentioning

confidence: 99%

Pharmaceutical distribution path optimization based on K-nearest neighbor algorithm

Yang

2023

IJBLS

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With the changing situation of the prevention and control of the new crown epidemic, the demand for various types of pharmaceutical supplies is rising, which puts forward very high requirements on the timeliness of distribution. In view of this, this paper establishes a pharmaceutical logistics distribution path optimization model by comprehensively considering constraints such as vehicle loading and latest delivery time in pharmaceutical distribution. In order to solve this type of problem, a nearest neighbor algorithm is proposed, which introduces correlation coefficients to realize the improvement of the performance of the original algorithm. At the end of the paper, the effectiveness of the model and the algorithm is verified by applying a comparative analysis with the existing correlation algorithm with real data from a pharmaceutical company. The experimental results show that the method effectively reduces the delivery mileage and improves the pharmaceutical delivery timeliness.

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Image Retrieval Technology and System Implementation of Handicraft Based on Genetic Algorithm

Cai

2023

2023 International Conference on Mechatronics, IoT and Industrial Informatics (ICMIII)

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Different environmental conditions in genetic algorithm

Cited by 4 publications

References 14 publications

A review on soft computing approaches for predicting maintainability of software: State‐of‐the‐art, technical challenges, and future directions

A review on soft computing approaches for predicting maintainability of software: State‐of‐the‐art, technical challenges, and future directions

Pharmaceutical distribution path optimization based on K-nearest neighbor algorithm

Image Retrieval Technology and System Implementation of Handicraft Based on Genetic Algorithm

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