Results 71 to 80 of about 922 (173)

Performance assessment and optimisation of a novel guideless irregular dew point cooler using artificial intelligence [PDF]

, 2020
Air Conditioners (ACs) are a vital need in modern buildings to provide comfortable indoor air for the occupants. Several alternatives for the traditional coolers are introduced to improve the cooling efficiency but among them, Evaporative Coolers (ECs ...
Akhlagi, Yousef Golizadeh
core   +1 more source

Optimal performance design of bat algorithm: An adaptive multi‐stage structure

CAAI Transactions on Intelligence Technology, Volume 10, Issue 3, Page 755-814, June 2025.
Abstract The bat algorithm (BA) is a metaheuristic algorithm for global optimisation that simulates the echolocation behaviour of bats with varying pulse rates of emission and loudness, which can be used to find the globally optimal solutions for various optimisation problems. Knowing the recent criticises of the originality of equations, the principle
Helong Yu, Jiuman Song, Chengcheng Chen, Ali Asghar Heidari, Yuntao Ma, Huiling Chen, Yudong Zhang   +6 more
wiley   +1 more source

Analysis of the Utilization of Machine Learning to Map Flood Susceptibility

Journal of Flood Risk Management, Volume 18, Issue 2, June 2025.
ABSTRACT This article provides an analysis of the utilization of Machine Learning (ML) models in Flood Susceptibility Mapping (FSM), based on selected publications from the past decade (2013–2023). Recognizing the challenge that some stages of ML modeling inherently rely on experience or trial‐and‐error approaches, this work aims at establishing a ...
Ali Pourzangbar, Peter Oberle, Andreas Kron, Mário J. Franca   +3 more
wiley   +1 more source

Random Walk‐Based GOOSE Algorithm for Solving Engineering Structural Design Problems

Engineering Reports, Volume 7, Issue 5, May 2025.
This paper presents a novel Random Walk‐premised GOOSE (IGOOSE) search algorithm for solving engineering structural design problems. In the IGOOSE algorithm, each solution represented as a potential solution to an optimization search problem behaves akin to a random walker navigating through a solution space.
Sripathi Mounika, Himanshu Sharma, Aradhala Bala Krishna, Krishan Arora, Syed Immamul Ansarullah, Ayodeji Olalekan Salau   +5 more
wiley   +1 more source

Research on the Prediction Method of 3D Surface Deformation in Filling Mining Based on InSAR‐IPIM

Energy Science &Engineering, Volume 13, Issue 5, Page 2401-2414, May 2025.
Aiming at a series of defects existing in the monitoring of mining area by InSAR technology, this paper proposes an insar‐ipim model to predict the three‐dimensional surface deformation of filling mining. The parameters of the model are inversed by using the group optimization algorithm slime bacteria algorithm proposed in 2020, and the empirical ...
Meng Wang, Zhongzheng Fang, Xin Li, Jiaxu Kang, Yafei Wei, Shuai Wang, Yaqiang Zheng, Xufeng Zhang, Tianyu Liu   +8 more
wiley   +1 more source

An Improved NSGA‐III With Hybrid Crossover Operator for Multi‐Objective Optimization of Complex Combined Cooling, Heating, and Power Systems

Energy Science &Engineering, Volume 13, Issue 4, Page 1509-1543, April 2025.
ABSTRACT Traditional combined cooling, heating, and power (CCHP) systems are highly efficient in energy utilization but face challenges such as high operational costs, CO2 emissions, and complex scheduling. In traditional CCHP systems, typically used in large commercial settings like hospitals or shopping centers, daily operational costs can exceed ...
Lejie Ma, Dexuan Zou
wiley   +1 more source

An effective method for global optimization – Improved slime mould algorithm combine multiple strategies

Egyptian Informatics Journal
The stochastic search algorithms are an important optimization technique used to solve complex global optimization problems. The Slime Mould Algorithm (SMA) is one of stochastic search algorithm inspired by the observed behaviors and morphological ...
Wenqing Xiong, Donglin Zhu, Rui Li, Yilin Yao, Changjun Zhou, Shi Cheng   +5 more
doaj   +1 more source

Estimating Economic Insights: A Machine Learning Method for Estimating the Shanghai Stock Exchange [PDF]

Journal of Artificial Intelligence and System Modelling
The stock market is an environment where individuals participate in the purchase and sale of shares in publicly traded companies. It serves as a gauge of a country's economic well-being and the overall business environment.
Reza Seifi Majdar, Seyed Hadi Seyed Hatami   +1 more
doaj   +1 more source

Topological search and gradient descent boosted Runge–Kutta optimiser with application to engineering design and feature selection

CAAI Transactions on Intelligence Technology, Volume 10, Issue 2, Page 557-614, April 2025.
Abstract The Runge–Kutta optimiser (RUN) algorithm, renowned for its powerful optimisation capabilities, faces challenges in dealing with increasing complexity in real‐world problems. Specifically, it shows deficiencies in terms of limited local exploration capabilities and less precise solutions.
Jinge Shi, Yi Chen, Ali Asghar Heidari, Zhennao Cai, Huiling Chen, Guoxi Liang   +5 more
wiley   +1 more source

Innovative Diversity Metrics in Hierarchical Population‐Based Differential Evolution for PEM Fuel Cell Parameter Optimization

Engineering Reports, Volume 7, Issue 1, January 2025.
Hierarchical population‐based differential evolution (HPDE) with innovative diversity metrics demonstrates superior performance in optimizing parameters for various proton exchange membrane fuel cells (PEMFC). HPDE outperforms other advanced algorithms, delivering precise and efficient parameter extraction, as validated across multiple PEMFC models ...
Mohammad Khishe, Pradeep Jangir, Arpita, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Laith Abualigah   +6 more
wiley   +1 more source