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Soft Computing

A Fusion of Foundations, Methodologies and Applications

Soft Computing OnlineFirst articles

02-06-2020 | Methodologies and Application

Novel OGBEE-based feature selection and feature-level fusion with MLP neural network for social media multimodal sentiment analysis

Numerous public networks, namely Instagram, YouTube, Facebook, Twitter, etc., share their own feelings and idea as videotapes, posts, and pictures. In future research, adapting to such data and mining valuable information from it will be an …

01-06-2020 | Methodologies and Application

Designing hybrid classifiers based on general type-2 fuzzy logic and support vector machines

This paper describes two alternatives for hybridizing general type-2 fuzzy logic with the Support Vector Machine (SVM), which is one of the best classification methods in the literature. The main idea of using type-2 fuzzy logic is providing SVM …

30-05-2020 | Methodologies and Application

Uncertain four-dimensional multi-objective multi-item transportation models via GP technique

In this paper, a new type of four-dimensional multi-objective multi-item transportation problem is established using uncertain theory. We formulate and derive the expected value goal programming model and chance-constrained goal programming model …

30-05-2020 | Methodologies and Application

Design of optimal low-pass filter by a new Levy swallow swarm algorithm

The swallow swarm optimization (SS) is a challenging method of optimization, which has a quicker convergence speed, not getting caught in the local extreme points. However, the SS suffers from a few shortcomings—(1) the movement speed of particles …

29-05-2020 | Methodologies and Application

An intelligent multiple vehicle detection and tracking using modified vibe algorithm and deep learning algorithm

Multiple vehicle detection is a promising and challenging role in intelligent transportation systems and computer vision applications. Most existing methods detect vehicles with bounding box representation and fail to offer the location of …

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About this journal

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.

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