The colony predation algorithm

J Tu, H Chen, M Wang, AH Gandomi - Journal of Bionic Engineering, 2021 - Springer
This paper proposes a new stochastic optimizer called the Colony Predation Algorithm
(CPA) based on the corporate predation of animals in nature. CPA utilizes a mathematical …

Boosting whale optimization with evolution strategy and Gaussian random walks: An image segmentation method

AG Hussien, AA Heidari, X Ye, G Liang, H Chen… - Engineering with …, 2023 - Springer
Stochastic optimization has been found in many applications, especially for several local
optima problems, because of their ability to explore and exploit various zones of the feature …

Image segmentation of Leaf Spot Diseases on Maize using multi-stage Cauchy-enabled grey wolf algorithm

H Yu, J Song, C Chen, AA Heidari, J Liu, H Chen… - … Applications of Artificial …, 2022 - Elsevier
Grey wolf optimizer (GWO) is a widespread metaphor-based algorithm based on the
enhanced variants of velocity-free particle swarm optimizer with proven defects and …

Boosted kernel search: Framework, analysis and case studies on the economic emission dispatch problem

R Dong, H Chen, AA Heidari, H Turabieh… - Knowledge-Based …, 2021 - Elsevier
In recent years, a variety of meta-heuristic nature-inspired algorithms have been proposed to
solve complex optimization problems. However, these algorithms suffer from the …

Performance optimization of support vector machine with oppositional grasshopper optimization for acute appendicitis diagnosis

J Xia, Z Wang, D Yang, R Li, G Liang, H Chen… - Computers in Biology …, 2022 - Elsevier
Preoperative differentiation of complicated and uncomplicated appendicitis is challenging.
The research goal was to construct a new intelligent diagnostic rule that is accurate, fast …

Multilevel threshold image segmentation with diffusion association slime mould algorithm and Renyi's entropy for chronic obstructive pulmonary disease

S Zhao, P Wang, AA Heidari, H Chen… - Computers in Biology …, 2021 - Elsevier
Image segmentation is an essential pre-processing step and is an indispensable part of
image analysis. This paper proposes Renyi's entropy multi-threshold image segmentation …

[HTML][HTML] Differential evolution-assisted salp swarm algorithm with chaotic structure for real-world problems

H Zhang, T Liu, X Ye, AA Heidari, G Liang… - Engineering with …, 2023 - Springer
There is a new nature-inspired algorithm called salp swarm algorithm (SSA), due to its
simple framework, it has been widely used in many fields. But when handling some …

Performance optimization of differential evolution with slime mould algorithm for multilevel breast cancer image segmentation

L Liu, D Zhao, F Yu, AA Heidari, J Ru, H Chen… - Computers in Biology …, 2021 - Elsevier
Breast cancer is one of the most dangerous diseases for women's health, and it is imperative
to provide the necessary diagnostic assistance for it. The medical image processing …

Random reselection particle swarm optimization for optimal design of solar photovoltaic modules

Y Fan, P Wang, AA Heidari, H Chen, M Mafarja - Energy, 2022 - Elsevier
Renewable energy is becoming more popular due to environmental concerns about the
previous energy source. Accurate solar photovoltaic system model parameters substantially …

Multi-threshold image segmentation using a multi-strategy shuffled frog leaping algorithm

Y Chen, M Wang, AA Heidari, B Shi, Z Hu… - Expert Systems with …, 2022 - Elsevier
Medical image segmentation, which is a complex and fundamental step in medical image
processing, can help doctors make more precise decisions on patient diagnosis. Although …