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Journal Photo for Applied Soft Computing
Peer reviewed only Open Access

Applied Soft Computing (ASC)

Publisher : Elsevier BV
Computing Computer Science Applications Control and Systems Engineering
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e-ISSN 1872-9681
p-ISSN 1568-4946
Issue Frequency Quarterly
Impact Factor 8.7
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 P-ISSN: 1568-4946, E-ISSN: 1872-9681, Established: 2001, Impact Factor: 8.7
  • Provides Crossref DOI

  • Indexed in: Scopus

  • Not indexed in WoS, DOAJ, PubMed, UGC CARE

Indexing

Publications of ASC

Bayesian inference for mining semiconductor manufacturing big data for yield enhancement and smart production to empower industry 4.0
Marzieh Khakifirooz July, 2018
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...
A hybrid genetic and Lagrangian relaxation algorithm for resource-constrained project scheduling under nonrenewable resources
Marzieh Khakifirooz September, 2020
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
M. SUNDARAM
Application of GRNN and Multivariate Hybrid Approach to Predict and Optimize WEDM Responses for Ni -Ti Shape Memory Alloy
HIMADRI MAJUMDER
A multi-objective evolutionary algorithm based on decomposition and constraint programming for the multi-objective team orienteering problem with time...
Mahdi Fathi December, 2018
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...
A hybrid genetic and Lagrangian relaxation algorithm for resource-constrained project scheduling under nonrenewable resources
Marzieh Khakifirooz September, 2020
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...
A human learning optimization algorithm with reasoning learning
Panos M. Pardalos June, 2022
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...
A hybrid genetic and Lagrangian relaxation algorithm for resource-constrained project scheduling under nonrenewable resources
Marzieh Khakifirooz September, 2020
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...
A robust dynamic scheduling approach based on release time series forecasting for the steelmaking-continuous casting production
Panos M. Pardalos July, 2020
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...
Structural improved regular simplex support vector machine for multiclass classification
Panos M. Pardalos June, 2020
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...