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Jan 15, 2021 · The essential concept of soft computing is that the emergent collective intelligence of groups of simple agents possesses a powerful global search capability, and has been shown to be able to find the optimal solution within a rational time by numerous fields of studies using the soft computing concerned algorithms such as genetic algorithm (GA), ant colony optimization (ACO), particle swarm optimization (PSO), artificial bee colony (ABC) algorithms, and simplified swarm optimization (SSO).
This Special Issue focuses on “Soft Computing Methods and Applications for Decision Making”, with an emphasis on knowledge representation, and reliable, interpretable and replicable algorithms. It will be a collection of review papers, research articles and communications on theoretical aspects and real-world applications.
Soft computing is the subject of both theoretical and practical research, and soft computing techniques are currently being applied in many applications in areas such as industrial systems, commercial, or domestic applications. This Topic is open to receive submissions of high-quality papers regarding advances in soft computing and its ...
Jun 28, 2024 · Soft computing is capable of handling imprecise, uncertain, or incomplete data and consists of three main approaches: fuzzy logic, neural networks, and evolutionary or bio-inspired computing. Soft computing applications are numerous and are used in diverse fields such as medicine, engineering, economics, robotics, and data science.
Dec 31, 2020 · Dear Colleagues, Recent advances in control and soft computing systems have brought new levels of real-life applications in a wide range of areas, including control of industrial systems, internet of things (IoT), cyber-physical systems, smart grids, power and energy systems, biomedical engineering, and so on.
Applied Artificial Intelligence and Data Science (Deadline: 20 February 2025) Applications of Artificial Intelligence and Soft Computing in Process Systems Engineering (Deadline: 20 February 2025) Artificial Intelligence in Machinery Fault Diagnosis (Deadline: 20 February 2025)
The development of advanced materials, including their synthesis, preparation, and characterization, is covered under this topic. The issue will also focus on statistical models used for analyses and various soft computing algorithms applied for the modelling and regression of data from advanced materials. Dr. Asif Afzal Dr. Manzoore Elahi M ...
Soft computing applications for air-traffic control, finance, health, fire control, risk management, etc., where fuzzy consensus and decision-making tools are essential to aid experts in making correct decisions for real-life problems. Fuzzy FinTech applications. Dr. Sachi Nandan Mohanty Guest Editor. Manuscript Submission Information
Jan 15, 2021 · Soft-Computing techniques applied to energy-related problems usually face data-driven tasks, such as optimization, classification, clustering or prediction problems, among others. In many cases, these problems are in close connection with alternative applications such as Renewable Energy resource evaluation, design of energy efficiency systems, or very different energy system applications in smart grids, etc.
Soft computing and fuzzy engineering are the flagships of processing real-time and complex applications due to their adaptability in modern, specific, and uncertain systems, resulting in several advances in engineering and processing, such as the areas of industry, e-commerce, data, communication, and logistics.
