A multi-objective optimization problem solving method based on improved golden jackal optimization algorithm and its application
S Jiang, Y Yue, C Chen, Y Chen, L Cao - Biomimetics, 2024 - mdpi.com
The traditional golden jackal optimization algorithm (GJO) has slow convergence speed,
insufficient accuracy, and weakened optimization ability in the process of finding the optimal …
insufficient accuracy, and weakened optimization ability in the process of finding the optimal …
Ameliorated Golden jackal optimization (AGJO) with enhanced movement and multi-angle position updating strategy for solving engineering problems
Golden jackal optimization (GJO), a lately published meta-heuristic optimization algorithm, is
inspired by the foraging behavior of pairs of golden jackals and shows an acceptable …
inspired by the foraging behavior of pairs of golden jackals and shows an acceptable …
An improved golden jackal optimization algorithm based on multi-strategy mixing for solving engineering optimization problems
Nowadays, optimization techniques are required in various engineering domains to find
optimal solutions for complex problems. As a result, there is a growing tendency among …
optimal solutions for complex problems. As a result, there is a growing tendency among …
Tool life prediction of dicing saw based on adaptive golden jackal optimizing GRU
W Liang, W Zhu, Y Zhang, Y Jiang, L Zhou… - International Journal on …, 2024 - Springer
The accuracy of tool life prediction will directly affect the overall efficiency of the dicing saw.
Since the tool life of dicing saw is easily affected by different working conditions and the …
Since the tool life of dicing saw is easily affected by different working conditions and the …
An image segmentation fusion algorithm based on density peak clustering and Markov random field
Y Feng, W Liu, X Zhang, X Zhu - Multimedia Tools and Applications, 2024 - Springer
Image segmentation is a crucial task in the field of computer vision. Markov random fields
(MRF) based image segmentation method can effectively capture intricate relationships …
(MRF) based image segmentation method can effectively capture intricate relationships …
Multilevel Image Thresholding based on Particle Swarm Optimization Algorithm with Chaotic Cognitive and Social Acceleration Coefficients
E Turajlic - 2024 13th Mediterranean Conference on Embedded …, 2024 - ieeexplore.ieee.org
This paper introduces a novel chaotic strategy for controlling the acceleration coefficients
within the particle swarm optimization (PSO) algorithm. The PSO algorithm with chaotic …
within the particle swarm optimization (PSO) algorithm. The PSO algorithm with chaotic …
A Simulated Annealing Algorithm based on Variance Consensus for Logistics Cargo Sorting
J Zheng, P Zhang - 2024 IEEE 6th Advanced Information …, 2024 - ieeexplore.ieee.org
Image segmentation plays a vital role in logistics for precise target extraction and cargo
sorting. Traditional methods struggle with complex images, particularly those with uneven …
sorting. Traditional methods struggle with complex images, particularly those with uneven …
Ameliorated Golden Jackal Optimization (Agjo) with Enhanced Movement and Multi-Angle Position Updating Strategy
MA Wahab - Available at SSRN 4521860 - papers.ssrn.com
Golden jackal optimization (GJO), a lately published meta-heuristic optimization algorithm, is
inspired by the foraging behavior of pairs of golden jackals and shows an acceptable …
inspired by the foraging behavior of pairs of golden jackals and shows an acceptable …