Crayfish optimization algorithm

H Jia, H Rao, C Wen, S Mirjalili - Artificial Intelligence Review, 2023 - Springer
This paper proposes a meta heuristic optimization algorithm, called Crayfish Optimization
Algorithm (COA), which simulates crayfish's summer resort behavior, competition behavior …

Harris hawks optimization algorithm: variants and applications

M Shehab, I Mashal, Z Momani, MKY Shambour… - … Methods in Engineering, 2022 - Springer
This paper introduces a comprehensive survey of a new swarm intelligence optimization
algorithm so-called Harris hawks optimization (HHO) and analyzes its major features. HHO …

Modified sand cat swarm optimization algorithm for solving constrained engineering optimization problems

D Wu, H Rao, C Wen, H Jia, Q Liu, L Abualigah - Mathematics, 2022 - mdpi.com
The sand cat swarm optimization algorithm (SCSO) is a recently proposed metaheuristic
optimization algorithm. It stimulates the hunting behavior of the sand cat, which attacks or …

Dynamic chaotic opposition-based learning-driven hybrid aquila optimizer and artificial rabbits optimization algorithm: Framework and applications

Y Wang, Y Xiao, Y Guo, J Li - Processes, 2022 - mdpi.com
Aquila Optimizer (AO) and Artificial Rabbits Optimization (ARO) are two recently developed
meta-heuristic optimization algorithms. Although AO has powerful exploration capability, it …

Enhancing engineering optimization using hybrid sine cosine algorithm with Roulette wheel selection and opposition-based learning

VHS Pham, NT Nguyen Dang, VN Nguyen - Scientific Reports, 2024 - nature.com
Meta-heuristic algorithms distinguish themselves from conventional optimization methods
owing to their intrinsic adaptability and straightforward implementation. Among them, the …

Chaotic sand cat swarm optimization

F Kiani, S Nematzadeh, FA Anka, MA Findikli - Mathematics, 2023 - mdpi.com
In this study, a new hybrid metaheuristic algorithm named Chaotic Sand Cat Swarm
Optimization (CSCSO) is proposed for constrained and complex optimization problems. This …

Enhancing the performance of Piezoelectric Energy Harvester under electrostatic actuation using a robust metaheuristic algorithm

B Firouzi, A Abbasi, P Sendur, M Zamanian… - … Applications of Artificial …, 2023 - Elsevier
This study proposes a novel shape optimization methodology based on evolutionary
algorithms to maximize the harvesting energy from piezoelectric energy harvester stimulated …

Real-time and day-ahead risk averse multi-objective operational scheduling of virtual power plant using modified Harris Hawk's optimization

AK Pandey, VK Jadoun - Electric Power Systems Research, 2023 - Elsevier
This paper addresses optimal scheduling of a virtual power plant (VPP) to enhance the
economic and environmental aspect of the anticipated VPP network comprise of renewable …

[PDF][PDF] 基于改进麻雀搜索算法的最大指数熵分割方法

马小晶, 贺航, 王宏伟, 田柯 - 科学技术与工程, 2023 - stae.com.cn
摘要为了解决基本麻雀搜索算法(sparrow search algorithm, SSA) 依赖初始种群和求解精度不
高的问题, 提出一种基于Circle 混沌映射和随机游走的改进的麻雀优化算法(improved sparrow …

A multi-leader Harris hawks optimizer with adaptive mutation and its application for modeling of silicon content in liquid iron of blast furnace

Z Liu, Y Fang, L Liu, S Ma - Mathematics and Computers in Simulation, 2023 - Elsevier
Aiming at the problem that Harris hawks optimizer (HHO) has poor population diversity and
is easy to fall into local optimum when solving complex optimization problems, a multi-leader …