Nowadays genetic algorithm (GA) is greatly used in engineering pedagogy as an adaptive technique to learn and solve complex problems and issues. It is a meta-heuristic approach that is used to solve hybrid computation challenges. GA utilizes selection, crossover, and mutation operators to ...
GeneticSharp is a fast, extensible, multi-platform and multithreading C# Genetic Algorithm library that simplifies the development of applications using Genetic Algorithms (GAs). - giacomelli/GeneticSharp
Human Action Recognition (HAR) involves human activity monitoring task in different areas of medical, education, entertainment, visual surveillance, video
The artificial intelligence techniques presented in this paper include: artificial neural networks (ANNs), fuzzy logic, support vector machines (SVM), hybrid intelligent systems (HIS), genetic algorithms (GA), case based reasoning (CBR) and particle swarm algorithm (PSA). An overview of the ...
A parallel multi-objective genetic algorithm is presented. The population selection and mating phase is kept distinct from the population fitness evaluation loop, that is implemented in parallel. The population can be logically split in sub-populations the number of which does not depend on the numb...
select article Optimization of reward shaping function based on genetic algorithm applied to a cross validated deep deterministic policy gradient in a powered landing guidance problem Research articleAbstract only Optimization of reward shaping function based on genetic algorithm applied to a cross ...
in this study, we capitalized on a two-step method, which is based on a genetic algorithm (GA)16and our previously developed world competitive contests (WCC) optimization algorithm17, the so-called “GA_WCC method”. In the first step of the GA_WCC method, the GA reduces the total numbe...
an overview of the current state of ML adoption in concrete science will be helpful in the design and development of cementitious materials. Existing reviews largely depended on manual appraisals, potentially leading to subjective interpretation. Moreover, there exist many challenges in implementing and...
Newly emerging adaptive agents provide a novel framework for the discovery and forecasting of emergent ecosystem structures and behaviours in response to environmental changes. 展开 关键词: Machine learning Ecological modelling Artificial neural network Genetic algorithm Multivariate statistics Time-series ...
Multiple ML algorithms have been leveraged and primarily used intracranial EEG as the data source. Full size table Sometimes, the optimal ML algorithm used in a closed-loop BStim system depended on performance goals (e.g., low latency, high accuracy) and data bandwidth (e.g., number of ...