Artificial intelligence and economic development: An evolutionary investigation and systematic review
In today's environment of the rapid rise of artificial intelligence (AI), debate continues about
whether it has beneficial effects on economic development. However, there is only a …
whether it has beneficial effects on economic development. However, there is only a …
The application of soft computing models and empirical formulations for hydraulic structure scouring depth simulation: a comprehensive review, assessment and …
Prediction of scouring characteristics is one of the major issues in hydraulic and hydrology
engineering. Over the past five decades, numerous empirical formulations (EFs), based on …
engineering. Over the past five decades, numerous empirical formulations (EFs), based on …
Modeling grassland above-ground biomass based on artificial neural network and remote sensing in the Three-River Headwaters Region
S Yang, Q Feng, T Liang, B Liu, W Zhang… - Remote Sensing of …, 2018 - Elsevier
Effective and accurate monitoring of grassland above-ground biomass (AGB) is important for
pastoral agriculture planning and management. In this study, we combined 1433 AGB field …
pastoral agriculture planning and management. In this study, we combined 1433 AGB field …
Forward forecast of stock price using sliding-window metaheuristic-optimized machine-learning regression
Time series forecasting has been widely used to determine the future prices of stock, and the
analysis and modeling of finance time series importantly guide investors' decisions and …
analysis and modeling of finance time series importantly guide investors' decisions and …
A survey on firefly algorithms
J Li, X Wei, B Li, Z Zeng - Neurocomputing, 2022 - Elsevier
Firefly algorithm (FA) is one of the popular algorithms of Swarm Intelligence domain. The
literature has expanded significantly in the past few years. This paper provides a timely …
literature has expanded significantly in the past few years. This paper provides a timely …
A hybrid particle swarm optimizer with sine cosine acceleration coefficients
K Chen, F Zhou, L Yin, S Wang, Y Wang, F Wan - Information Sciences, 2018 - Elsevier
Particle swarm optimization (PSO) has been widely used to solve complex global
optimization tasks due to its implementation simplicity and inexpensive computational …
optimization tasks due to its implementation simplicity and inexpensive computational …
An improved wild horse optimizer for solving optimization problems
Wild horse optimizer (WHO) is a recently proposed metaheuristic algorithm that simulates
the social behavior of wild horses in nature. Although WHO shows competitive performance …
the social behavior of wild horses in nature. Although WHO shows competitive performance …
[HTML][HTML] Shape and size optimization of truss structures by Chaos game optimization considering frequency constraints
Introduction An engineering system consists of properly established activities and put
together to achieve a predefined goal. These activities include analysis, design …
together to achieve a predefined goal. These activities include analysis, design …
An intelligent evolutionary extreme gradient boosting algorithm development for modeling scour depths under submerged weir
This research presents a new hybridized evolutionary artificial intelligence (AI) model for
modeling depth scouring under submerged weir (ds). The proposed model is based on the …
modeling depth scouring under submerged weir (ds). The proposed model is based on the …
Hybrid firefly algorithm with a new mechanism of gender distinguishing for global optimization
Z Cheng, H Song, D Zheng, M Zhou, K Sun - Expert Systems with …, 2023 - Elsevier
Firefly algorithm (FA) is a novel stochastic optimization technique mimicking the inter-
attraction and movement of fireflies. As we all know that male and female fireflies exist in …
attraction and movement of fireflies. As we all know that male and female fireflies exist in …