Metaheuristic algorithms for PID controller parameters tuning: Review, approaches and open problems
The simplicity, transparency, reliability, high efficiency and robust nature of PID controllers
are some of the reasons for their high popularity and acceptance for control in process …
are some of the reasons for their high popularity and acceptance for control in process …
Choosing mutation and crossover ratios for genetic algorithms—a review with a new dynamic approach
Genetic algorithm (GA) is an artificial intelligence search method that uses the process of
evolution and natural selection theory and is under the umbrella of evolutionary computing …
evolution and natural selection theory and is under the umbrella of evolutionary computing …
Hyperparameter tuning for machine learning algorithms used for arabic sentiment analysis
Machine learning models are used today to solve problems within a broad span of
disciplines. If the proper hyperparameter tuning of a machine learning classifier is …
disciplines. If the proper hyperparameter tuning of a machine learning classifier is …
State of charge estimation for lithium-ion batteries using model-based and data-driven methods: A review
Lithium-ion battery is an appropriate choice for electric vehicle (EV) due to its promising
features of high voltage, high energy density, low self-discharge and long lifecycles. The …
features of high voltage, high energy density, low self-discharge and long lifecycles. The …
How and where is artificial intelligence in the public sector going? A literature review and research agenda
WG De Sousa, ERP de Melo, PHDS Bermejo… - Government Information …, 2019 - Elsevier
To obtain benefits in the provision of public services, managers of public organizations have
considerably increased the adoption of artificial intelligence (AI) systems. However, research …
considerably increased the adoption of artificial intelligence (AI) systems. However, research …
Progress on the demand side management in smart grid and optimization approaches
The integration of demand side management (DSM) with smart grid (SG) can facilitate
residents' transfer into smart homes and sustainable cities by reducing the carbon emission …
residents' transfer into smart homes and sustainable cities by reducing the carbon emission …
[Retracted] Taxonomy of Adaptive Neuro‐Fuzzy Inference System in Modern Engineering Sciences
Adaptive Neuro‐Fuzzy Inference System (ANFIS) blends advantages of both Artificial Neural
Networks (ANNs) and Fuzzy Logic (FL) in a single framework. It provides accelerated …
Networks (ANNs) and Fuzzy Logic (FL) in a single framework. It provides accelerated …
Evolutionary multitasking via explicit autoencoding
Evolutionary multitasking (EMT) is an emerging research topic in the field of evolutionary
computation. In contrast to the traditional single-task evolutionary search, EMT conducts …
computation. In contrast to the traditional single-task evolutionary search, EMT conducts …
Genetic algorithms: Theory, genetic operators, solutions, and applications
A genetic algorithm (GA) is an evolutionary algorithm inspired by the natural selection and
biological processes of reproduction of the fittest individual. GA is one of the most popular …
biological processes of reproduction of the fittest individual. GA is one of the most popular …
Advsim: Generating safety-critical scenarios for self-driving vehicles
As self-driving systems become better, simulating scenarios where the autonomy stack may
fail becomes more important. Traditionally, those scenarios are generated for a few scenes …
fail becomes more important. Traditionally, those scenarios are generated for a few scenes …