Whale optimization algorithm: a systematic review of contemporary applications, modifications and developments

N Rana, MSA Latiff, SM Abdulhamid… - Neural Computing and …, 2020 - Springer
Whale optimization algorithm (WOA) is a recently developed swarm-based meta-heuristic
algorithm that is based on the bubble-net hunting maneuver technique—of humpback …

Dragonfly algorithm and its applications in applied science survey

CM Rahman, TA Rashid - Computational Intelligence and …, 2019 - Wiley Online Library
One of the most recently developed heuristic optimization algorithms is dragonfly by Mirjalili.
Dragonfly algorithm has shown its ability to optimizing different real‐world problems. It has …

A parallel compact cuckoo search algorithm for three-dimensional path planning

PC Song, JS Pan, SC Chu - Applied Soft Computing, 2020 - Elsevier
Abstract The three-dimensional (3D) path planning of unmanned robots focuses on avoiding
collisions with obstacles and finding an optimized path to the target location in a complex …

Design and operation optimization of multi-source complementary heating system based on air source heat pump in Tibetan area of Western Sichuan, China

Y Liu, W Zhou, X Luo, D Wang, X Hu, L Hu - Energy and Buildings, 2021 - Elsevier
A significant demand for building heating exists in the Tibetan area of Western Sichuan.
However, there is no enough meteorological data and appropriate optimization method …

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 …

A hybrid particle swarm optimization‐cuckoo search algorithm and its engineering applications

J Ding, Q Wang, Q Zhang, Q Ye… - Mathematical Problems in …, 2019 - Wiley Online Library
This paper deals with the hybrid particle swarm optimization‐Cuckoo Search (PSO‐CS)
algorithm which is capable of solving complicated nonlinear optimization problems. It …

A review of techniques for online control of parameters in swarm intelligence and evolutionary computation algorithms

RS Parpinelli, GF Plichoski… - … Journal of Bio …, 2019 - inderscienceonline.com
The two major groups representing biologically inspired algorithms are swarm intelligence
(SI) and evolutionary computation (EC). Both SI and EC share common features such as the …

[HTML][HTML] Mobilesam-track: lightweight one-shot tracking and segmentation of small objects on edge devices

Y Liu, Y Zhao, X Zhang, X Wang, C Lian, J Li, P Shan… - Remote Sensing, 2023 - mdpi.com
Tracking and segmenting small targets in remote sensing videos on edge devices carries
significant engineering implications. However, many semi-supervised video object …

A ranking-based adaptive cuckoo search algorithm for unconstrained optimization

J Wei, H Niu - Expert Systems with Applications, 2022 - Elsevier
Cuckoo search (CS) has been proven to be one of the most efficient metaheuristic
algorithms in solving global optimization problems. However, it suffers from a slow …

Improved Cuckoo Search algorithmic variants for constrained nonlinear optimization

A Tsipianitis, Y Tsompanakis - Advances in Engineering Software, 2020 - Elsevier
Abstract Although Cuckoo Search (CS) is a quite new nature-inspired metaheuristic
optimization algorithm, it has been extensively used in engineering applications, since it has …