logo True scholar network
Back to Top
Visit Website

Soft Computing (SC)

Publisher :

Springer-Verlag GmbH Germany

Scopus Profile
Peer reviewed only
Scopus Profile
Open Access
  • COMPUTER SCIENCE
  • Mathematics
e-ISSN :

1433-7479

Issue Frequency :

Monthly

Impact Factor :

3.2

p-ISSN :

1432-7643

Est. Year :

1997

Mobile :

4930827870

Country :

Germany

Language :

English

APC :

YES

Impact Factor Assignee :

Google Scholar

Email :

contactnaturecareers@nature.com

Journal Descriptions

Soft Computing is a hub for system solutions based on unique soft computing techniques. Ensures dissemination of key findings in soft computing technologies. Covers a wide range of topics including 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. Encourages the integration of soft computing methods into everyday and advanced applications. Serves as a unifying platform connecting soft computing ideas with other disciplines. Soft Computing provides rapid dissemination of important results in soft computing foundations, methodologies and applications. It encourages the integration of soft computing theoretical and practical results into both everyday and advanced applications. The journal aims to connect the ideas and techniques of soft computing with other disciplines. Soft Computing is dedicated to system solutions based on soft computing paradigms. It provides rapid dissemination of important results in soft computing, a fusion of research in evolutionary algorithms, genetic programming, swarm intelligence, neural science, neural net systems, fuzzy set theory, fuzzy systems, Bayesian networks, chaos theory, chaotic systems. 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 engaged in research and development in this fast growing field.


Soft Computing (SC) is :

International, Peer-Reviewed, Open Access, Refereed, COMPUTER SCIENCE, Mathematics , Online or Print, Monthly Journal

UGC Approved, ISSN Approved: P-ISSN - 1432-7643, E-ISSN - 1433-7479, Established in - 1997, Impact Factor - 3.2

Not Provide Crossref DOI

Indexed in Scopus, WoS

Not indexed in DOAJ, PubMed, UGC CARE

Indexing

Scopus Profile
Google Scholar
Scopus Profile
Scopus
Scopus Profile
WoS

+5 More

Publications of SC

  • dott image April, 2025

Noninvasive method of epileptic detection using DWT and generalized regression neural network

  • dott image January, 2021

Face feature extraction for emotion recognition using statistical parameters from subband selective multilevel stationary biorthogonal wavelet transfo...

Facial expression recognition is an extensive aspect in the field of pattern recognition and affective computing. Recognizing emotions by facial expression is an imperative action to design ...

  • dott image July, 2020

Patient scheduling with deteriorating treatment duration and maintenance activity

This paper investigates a practical scheduling problem for radiotherapy patients, who are to be scheduled on different devices at different times. The treatment duration is increasing with t...

  • dott image July, 2019

A holistic optimization approach for inverted cart-pendulum control tuning

The inverted cart-pendulum (ICP) is a nonlinear underactuated system, which dynamics are representative of many applications. Therefore, the development of ICP control laws is important sinc...

  • dott image February, 2019

The bi-objective critical node detection problem with minimum pairwise connectivity and cost: theory and algorithms

An efective way to analyze and apprehend structural properties of networks is to fnd their most critical nodes. This paper studies a bi-objective critical node detection problem, denoted as...

  • dott image August, 2020

Data augmentation using MG-GAN for improved cancer classification on gene expression data

Molecular biology studies on cancer, using gene expression datasets, have revealed that the datasets have a very small number of samples. Obtaining medical data is difficult and expensive du...

Establish Your Own Journal Without the Expense!

OJSCloud offers a complete, free setup to get you publishing.

Start Your Free Journal!
free profile