[HTML][HTML] Parameters Optimization of Electrical Discharge Machining Process Using Swarm Intelligence: A Review

Y Chen, S Hu, A Li, Y Cao, Y Zhao, W Ming - Metals, 2023 - mdpi.com
Electrical discharge machining (EDM) can use soft tool electrodes to process hard
workpieces to achieve “soft against hard”, because it directly uses electrical energy and …

[HTML][HTML] Research progress of nature-inspired metaheuristic algorithms in mobile robot path planning

Y Xu, Q Li, X Xu, J Yang, Y Chen - Electronics, 2023 - mdpi.com
The research of mobile robot path planning has shifted from the static environment to the
dynamic environment, from the two-dimensional environment to the high-dimensional …

[HTML][HTML] A fertilization decision model for maize, rice, and soybean based on machine learning and swarm intelligent search algorithms

J Gao, W Zeng, Z Ren, C Ao, G Lei, T Gaiser… - Agronomy, 2023 - mdpi.com
Background: The application of base fertilizer is significant for reducing agricultural costs,
non-point source pollution, and increasing crop production. However, the existing …

[HTML][HTML] ODM-BCSA: An offloading decision-making framework based on binary cuckoo search algorithm for mobile edge computing

M Alqarni, A Cherif, E Alkayyal - Computer Networks, 2023 - Elsevier
Computational task offloading facilitates real-time applications on constrained mobile
devices that require a large amount of processing resources, high storage capacity and …

Resilience enhancement scheme for gateway placement in space information networks

L Zhang, Y Du - Computer Networks, 2023 - Elsevier
Abstract Space information networks provide users with network services anytime and
anywhere through satellites and gateways. Gateways are the main part of the terrestrial …

Grid-DPC: Improved density peaks clustering based on spatial grid walk

B Liang, JH Cai, HF Yang - Applied Intelligence, 2023 - Springer
Traditional clustering methods need to find the initial centers first. A reasonable cluster
center can improve the efficiency and accuracy of the algorithm. However, finding centers is …

Life‐cycle cost‐oriented multiobjective optimization of composite frames considering the slab effect

Y Lin, X Zhang - The Structural Design of Tall and Special …, 2023 - Wiley Online Library
The life‐cycle cost‐oriented design philosophy is a promising tool for building resilient cities
as it helps in gaining insights into the impact of hazard‐induced damage and repair of civil …

Software fault prediction using hybrid swarm intelligent cuckoo and bat-based k-means++ clustering technique

S Aggarwal, P Singh - International Journal of Advanced …, 2023 - inderscienceonline.com
K-means and its various hybrids are popularly used for software fault prediction. K-means++
is a hybrid clustering algorithm which overcomes major issue of getting stuck at local optima …

Scheduling optimization of IES based on improved particle swarm algorithm

Y Zhao, L Shi, S Chen, B Sun, Y Zheng… - Journal of Physics …, 2023 - iopscience.iop.org
The integrated energy system (IES) has been a qualified candidate for solving the problems
of energy utilization and environmental pollution. In this study, an improved IES scheduling …

A Novel Framework to Classify Cancer through a Consecutive Utilization of Hybrid Feature Selection and Deep Learning

R Mahto, SU Ahmed, R ur Rahman, RM Aziz, P Roy… - 2023 - researchsquare.com
Cancer prediction in the early stage is a topic of major interest in medicine since it allows
accurate and efficient actions for successful medical treatments of cancer. Mostly cancer …