Results 11 to 20 of about 3,090 (171)

Joint power control and user grouping mechanism for efficient uplink non‐orthogonal multiple access‐based 5G communication: Utilising the Lèvy‐flight firefly algorithm

open access: yesIET Networks, EarlyView., 2023
We utilise a metaheuristic optimisation method, inspired by nature, called the Lévy‐flight firefly algorithm (LFA), to tackle the power regulation and user grouping in the NOMA systems. Abstract The non‐orthogonal multiple access strategies have shown promise to boost fifth generation and sixth generation wireless networks' spectral efficiency and ...
Zaid Albataineh   +4 more
wiley   +1 more source

Double Cuckoo Search Algorithm with Dynamically Adjusted Probability

open access: yesJisuanji kexue yu tansuo, 2021
Cuckoo search algorithm is an emerging bionic intelligent algorithm, which has the shortages of low search precision, easy to fall into local optimum and slow convergence speed. Double cuckoo search algorithm with dynamically adjusted probability (DECS)
CHEN Cheng, HE Xingshi, YANG Xinshe
doaj   +1 more source

Cuckoo Search Algorithm: Review and its Application

open access: yesTikrit Journal of Pure Science, 2022
Optimization techniques play a major role in real-world problems, As many cases in which decisions are made are based on random research. But choosing the optimization technology is a big challenge for the user. The cuckoo search algorithm is one of the
Manar Abdulkareem Al-Abaji
doaj   +1 more source

An Effective Constraint-Handling Improved Cuckoo Search Algorithm and Its Application in Aerodynamic Shape Optimization

open access: yesIEEE Access, 2020
This research develops an effective constraint-handling method to improve meta-heuristic algorithms' performance when solving constrained optimization problems.
Jun Liu, Dou Wang, Shibin Luo
doaj   +1 more source

A Method for Battery Health Estimation Based on Charging Time Segment

open access: yesEnergies, 2021
The problem of low accuracy and low convenience in the existing state of health (SOH) estimation method for vehicle lithium-ion batteries has become one of the important problems in the electric vehicle field.
Shao-Xun Liu   +4 more
doaj   +1 more source

Using Cuckoo Search Algorithm with Q-Learning and Genetic Operation to Solve the Problem of Logistics Distribution Center Location

open access: yesMathematics, 2020
Cuckoo search (CS) algorithm is a novel swarm intelligence optimization algorithm, which is successfully applied to solve some optimization problems. However, it has some disadvantages, as it is easily trapped in local optimal solutions.
Juan Li   +4 more
doaj   +1 more source

An integrated cuckoo search optimizer for single and multi-objective optimization problems [PDF]

open access: yesPeerJ Computer Science, 2021
Integrating heterogeneous biological-inspired strategies and mechanisms into one algorithm can avoid the shortcomings of single algorithm. This article proposes an integrated cuckoo search optimizer (ICSO) for single objective optimization problems ...
Xiangbo Qi, Zhonghu Yuan, Yan Song
doaj   +2 more sources

Fault Location of Distribution Network Base on Improved Cuckoo Search Algorithm

open access: yesIEEE Access, 2020
A new method for fault location of a power distribution network based on Improved Cuckoo Search Algorithm is proposed. Cuckoo Search Algorithm uses Lévy flight to simulate the global parasitic propagation mechanism of the cuckoo population ...
Xiaoli Huang, Zhenyu Xie, Xinyi Huang
doaj   +1 more source

A fuzzy adaptive controller for cuckoo search algorithm in active suspension system

open access: yesJournal of Low Frequency Noise, Vibration and Active Control, 2020
This paper presents a fuzzy adaptive cuckoo search algorithm to improve the cuckoo search algorithm, which may easily fall into a local optimum when handling multiobjective optimization problems.
Chun-Tang Chao   +3 more
doaj   +1 more source

Cuckoo Search Algorithm with Chaotic Maps [PDF]

open access: yesMathematical Problems in Engineering, 2015
Cuckoo search algorithm is a novel nature-inspired optimization technique based on the obligate brood parasitic behavior of some cuckoo species. It iteratively employs Lévy flights random walk with a scaling factor and biased/selective random walk with a fraction probability.
Wang, Lijin, Zhong, Yiwen
openaire   +2 more sources

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