Chaotic sparrow search algorithm with manta ray spiral foraging for engineering optimization

C Yang, H Yang, D Zhu, YW Hu, Y Zhang… - Systems Science & …, 2023 - Taylor & Francis
Targeting the problem of traditional sparrow search algorithms being prone to falling into
local optima, a new algorithm called the Chaotic Sparrow Search Algorithm with Manta Ray …

Determining optimal paths of virtual links in Avionics Full-Duplex Switched Ethernet networks using modified ant colony optimization algorithm

OB Bayram, A Ozcan - Expert Systems with Applications, 2023 - Elsevier
Abstract The Aeronautical Radio Incorporated (ARINC) 664 Avionics Full Duplex Switched
Ethernet (AFDX) data bus has been developed based on the Ethernet standard Institute of …

Optimized transportation scheduling for precast concrete components considering heterogeneous vehicle-size matching

H Liu, S Wang, T Yang, Z Chen - Advanced Engineering Informatics, 2024 - Elsevier
Recently, prefabricated construction has been vigorously promoted, resulting in high
demand for precast concrete (PC) components. The transportation scheduling optimization …

Greater cane rat algorithm (GCRA): A nature-inspired metaheuristic for optimization problems

JO Agushaka, AE Ezugwu, AK Saha, J Pal… - Heliyon, 2024 - cell.com
This paper introduces a new metaheuristic technique known as the Greater Cane Rat
Algorithm (GCRA) for addressing optimization problems. The optimization process of GCRA …

Designing a bi-level emergency medical centers' chain to increase the resilience of EMS's supply-chain using ACO-QAP: A case study of Tabriz

H Ahmadi, NN Samany, A Ghanbari… - International Journal of …, 2022 - Elsevier
Natural hazards mainly occur unexpectedly and disrupt or completely stop the normal
function of society [[1],[2],[3],[4]]. About 11,500 natural hazards occurred in the 1980–2015 …

A learning-based approach to improving multicast network performance

HH Abdulmajeed, HA Hefny… - International Journal of …, 2023 - inderscienceonline.com
A neural network approach is recommended by us in this research paper, to solve the
problem of multicast routing subject to some quality of service (QoS) restrictions in …

A multi-mechanism balanced advanced learning sparrow search algorithm for UAV path planning

C Yang, H Yang, D Zhu, YW Hu, Y Zhang, HY Ma… - Cluster …, 2024 - Springer
Unmanned aerial vehicle (UAV) is highly flexible and versatile, ranging from monitoring and
surveying to rescue and military applications, but finding the best path requires a large …

Random Pairwise Competition Based Ant Selection for Pheromone Updating in Ant Colony Optimization

H Cao, Q Yang, XD Gao, PL Xu, ZY Lu… - … on Systems, Man, and …, 2023 - ieeexplore.ieee.org
Ant Colony Optimization (ACO) has shown very promising performance in solving Traveling
Salesman Problem (TSP). However, most existing ACO algorithms utilize either the …

An Extensive Review on QoS Enhancement in MANET Using Meta-Heuristic Algorithms

GK Ahirwar, R Agarwal, A Pandey - Wireless Personal Communications, 2023 - Springer
Mobile ad hoc network (MANET) is a group of portable devices which it is also defined as a
multi-hop and self-organized network. These networks are mainly used for applications like …

An Intelligent Approach for Solving QoS and Multicast Routing Issues

HH Abdulmajeed, A Alsawy, HA Hefny - Proceedings of the 7th …, 2022 - dl.acm.org
A neural network approach is presented to solve the delay constraint and loss data multicast
routing problem, an NP-complete problem. The multicast tree is obtained in line with optimal …