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Applied Soft Computing (ASC)

Publisher :

Elsevier BV

Scopus Profile
Peer reviewed only
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Open Access
  • Computing
  • Computer Science Applications
  • Control and Systems Engineering

    • +1

e-ISSN :

1872-9681

Issue Frequency :

Quarterly

Impact Factor :

8.7

p-ISSN :

1568-4946

Est. Year :

2001

Mobile :

31204853911

DOI :

YES

Country :

Netherlands The

Language :

English

APC :

YES

Email :

nlinfo@sciencedirect.com

Journal Descriptions

The Official Journal of the World Federation on Soft Computing (WFSC) http://www.softcomputing.org Applied Soft Computing is an international journal promoting an integrated view of soft computing to solve real life problems. Soft computing is a collection of methodologies, which aim to exploit tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness and low solution cost. The focus is to publish the highest quality research in application, advance and convergence of the areas of Fuzzy Logic, Neural Networks, Evolutionary Computing, Swarm Intelligence and other similar techniques to address real world complexities. Applied Soft Computing is a rolling publication: articles are published as soon as the editor-in-chief has accepted them. Therefore, the web site will continuously be updated with new articles and the publication time will be short. Authors are welcome to submit letters promoting original soft computing research to Applied Soft Computing's open access companion title, Systems and Soft Computing.


Applied Soft Computing (ASC) is :

International, Peer-Reviewed, Open Access, Refereed, Computing, Computer Science Applications, Control and Systems Engineering, Computer Science , Online or Print, Quarterly Journal

UGC Approved, ISSN Approved: P-ISSN - 1568-4946, E-ISSN - 1872-9681, Established in - 2001, Impact Factor - 8.7

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Indexed in Scopus

Not indexed in WoS, DOAJ, PubMed, UGC CARE

Indexing

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Publications of ASC

Research Article
  • dott image July, 2018

Bayesian inference for mining semiconductor manufacturing big data for yield enhancement and smart production to empower industry 4.0

Big data analytics have been employed to extract useful information and derive effective manufacturing intelligence for yield management in semiconductor manufacturing that is one of the mos...

Research Article
  • dott image September, 2020

A hybrid genetic and Lagrangian relaxation algorithm for resource-constrained project scheduling under nonrenewable resources

Scheduling under nonrenewable resources is one of the challenging issues in project scheduling problems. There are many cases where the projects are subject to some nonrenewable resources. I...

Classification of normal and abnormal patterns in medical thermography for the screening of breast cancer

Application of GRNN and Multivariate Hybrid Approach to Predict and Optimize WEDM Responses for Ni -Ti Shape Memory Alloy

Research Article
  • dott image December, 2018

A multi-objective evolutionary algorithm based on decomposition and constraint programming for the multi-objective team orienteering problem with time...

The team orienteering problem with time windows (TOPTW) is a well-known variant of the orienteering problem (OP) originated from the sports game of orienteering. Since the TOPTW has many app...

Research Article
  • dott image September, 2020

A hybrid genetic and Lagrangian relaxation algorithm for resource-constrained project scheduling under nonrenewable resources

Scheduling under nonrenewable resources is one of the challenging issues in project scheduling problems. There are many cases where the projects are subject to some nonrenewable resources. I...

Research Article
  • dott image Ling Wang
  • dott image June, 2022

A human learning optimization algorithm with reasoning learning

Human Learning Optimization (HLO) is a simple yet powerful meta-heuristic developed based on a simplified human learning model. Many cognitive activities of humans contain an element of reas...

Research Article
  • dott image September, 2020

A hybrid genetic and Lagrangian relaxation algorithm for resource-constrained project scheduling under nonrenewable resources

Scheduling under nonrenewable resources is one of the challenging issues in project scheduling problems. There are many cases where the projects are subject to some nonrenewable resources. I...

Research Article
  • dott image Chuan Li
  • dott image July, 2020

A robust dynamic scheduling approach based on release time series forecasting for the steelmaking-continuous casting production

In this work, the dynamic scheduling problem is investigated considering the uncertainty of the job release time in steelmaking-continuous casting production processes. In contrast to existi...

Research Article
  • dott image Long Tang
  • dott image June, 2020

Structural improved regular simplex support vector machine for multiclass classification

Although the structural regularized support vector machine (SRSVM) can enhance the generalization capability of the standard support vector machine (SVM), its current version is used only fo...

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