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Optimization based on the smart behavior of plants with its engineering applications: Ivy algorithm
This study presents a powerful and new modeling variant of bio-inspired algorithms, namely,
the Ivy algorithm (IVYA), drawn from the growth patterns of Ivy plants. The algorithm …
the Ivy algorithm (IVYA), drawn from the growth patterns of Ivy plants. The algorithm …
Enhancing image classification using adaptive convolutional autoencoder-based snow avalanches algorithm
The disease that causes a large number of deaths annually across the world is brain cancer
and it has become an important research topic in the field of medical image processing in …
and it has become an important research topic in the field of medical image processing in …
An improved transient search optimization algorithm for building energy optimization and hybrid energy sizing applications
T Jearsiripongkul, MA Karbasforoushha… - Scientific Reports, 2024 - nature.com
In this paper, a new algorithm named the improved transient search optimization algorithm
(ITSOA) is utilized to solve classical test functions, optimize the consumption of building …
(ITSOA) is utilized to solve classical test functions, optimize the consumption of building …
A generative design-based optimization model for multi-objective construction site layout planning
Purpose Given the growing interest in modern construction techniques and the emergence
of innovative technologies, construction site layout planning research has progressively …
of innovative technologies, construction site layout planning research has progressively …
[HTML][HTML] Multi-Objective Energy Management in Microgrids: Improved Honey Badger Algorithm with Fuzzy Decision-Making and Battery Aging Considerations
A multi-objective energy management and scheduling strategy for a microgrid comprising
wind turbines, solar cells, fuel cells, microturbines, batteries, and loads is proposed in this …
wind turbines, solar cells, fuel cells, microturbines, batteries, and loads is proposed in this …
Enhancing sand cat swarm optimization based on multi-strategy mixing for solving engineering optimization problems
W Wang, Z Han, Z Zhang, J Wang - Evolutionary Intelligence, 2025 - Springer
Abstract The Sand Cat Swarm Optimization (SCSO) algorithm is characterized by slow
convergence speed and a tendency to become trapped in local optima. To address these …
convergence speed and a tendency to become trapped in local optima. To address these …
Optimized Efficient Predefined Time Adaptive Neural Network for Identifying Parameters in Quantum Bit Error Rate
D Ilakkiaselvan, RJ Kavitha - International Journal of …, 2025 - Wiley Online Library
ABSTRACT An Optimized Efficient Predefined Time Adaptive Neural Network for Identifying
Parameters in Quantum Bit Error Rate (EPTANN‐IP‐QBER) is proposed in this manuscript …
Parameters in Quantum Bit Error Rate (EPTANN‐IP‐QBER) is proposed in this manuscript …
[ЦИТАТА][C] Modified Snow Avalanches Algorithm untuk Vehicle Routing Problem
A Sasmito, J Cathrynn, M Tanaka, MZ Sampe - Limits: Journal of Mathematics and Its …, 2024