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Soft Computing

A Fusion of Foundations, Methodologies and Applications

Data analytics and machine learning
On-demand DWDM design using machine learning
Data analytics and machine learning
Knowledge transfer learning from multiple user activities to improve personalized recommendation
Data analytics and machine learning
A quantum system control method based on enhanced reinforcement learning
Data analytics and machine learning
Nonlinear interval regression analysis with neural networks and grey prediction for energy demand forecasting

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Soft Computing OnlineFirst articles

01.07.2022 | Application of soft computing

Multi-channel word embeddings for sentiment analysis

Sentiment analysis (SA) is widely applied in practical applications and known as emotion AI or opinion mining. In fact, SA tasks are really hard even for human; there are many factors that can affect the overall performance such as the length of …

01.07.2022 | Optimization

Optimal operation and scheduling of a multi-generation microgrid using grasshopper optimization algorithm with cost reduction

The optimal operation of microgrids consists of renewable energy sources (RESs) play a key role in reducing greenhouse gasses and costs of operation. This paper suggests a stochastic optimal operation for an MG consisting of several RESs, storage …

30.06.2022 | Optimization

Energy-aware and carbon-efficient VM placement optimization in cloud datacenters using evolutionary computing methods

One of the most critical concerns of cloud service providers is balancing renewable and fossil energy consumption. On the other hand, the policy of organizations and governments is to reduce energy consumption and greenhouse gas emissions in cloud …

30.06.2022 | Application of soft computing

Performance analysis of ensemble classifiers and a two-level classifier in the classification of severity in digital mammograms

Breast cancer is the ultimate severity that escalates as the second root cause for death in the world among women. Several methodologies are adopted in recent times for the analysis and diagnosis of the disease through imaging techniques. The …

29.06.2022 | Application of soft computing

An agent-based approach to simulate the containership stowage problem

This article presents a graphic simulation tool for the containership stowage problem at maritime ports using an agent-based approach to verify the effect of weight equilibrium stability on the containership. The container stowage problem is …

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Über diese Zeitschrift

Soft Computing is dedicated to system solutions based on soft computing techniques. It provides rapid dissemination of important results in soft computing technologies, a fusion of research in evolutionary algorithms and genetic programming, neural science and neural net systems, fuzzy set theory and fuzzy systems, and chaos theory and chaotic systems.

Soft Computing encourages the integration of soft computing techniques and tools into both everyday and advanced applications. By linking the ideas and techniques of soft computing with other disciplines, the journal serves as a unifying platform that fosters comparisons, extensions, and new applications. As a result, the journal is an international forum for all scientists and engineers engaged in research and development in this fast growing field.

Indexed by Science Citation Index, Inspec, Compendex, DBLP, Computer Science Index, Current Abstracts, Current Contents, EBSCO host, IngentConnect, MetaPress, Springerlink, OCLC, SCOPUS, Ulrich´s, Zentralblatt Math

Titel: Soft Computing
Abdeckung: Jahrgang 1/1997 - Jahrgang 26/2022
Verlag: Springer Berlin Heidelberg
Elektronische ISSN: 1433-7479
Print ISSN: 1432-7643
Zeitschriften-ID: 500
DOI: https://doi.org/10.1007/500.1433-7479

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