Scientific Programming

Data Science and AI-based Optimization in Scientific Programming


Status
Published

Lead Editor

1Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile

2University of Extremadura, Cáceres, Spain

3Centre National de la Recherche Scientifique (CNRS), Paris, France

4Technical University of Madrid, Madrid, Spain


Data Science and AI-based Optimization in Scientific Programming

Description

Artificial intelligence (AI) is today support for different powerful data science and optimization techniques. For instance, data science commonly relies on artificial intelligence algorithms to efficiently solve classification, regression, and clustering problems. On the other hand, complex optimization problems that cannot be tackled via traditional mathematical programming techniques are commonly solved with AI-based optimization approaches such as the metaheuristics. Data science and AI-based optimization have also largely been used to solve problems related to scientific programming. Various examples are reported by the literature on task assignment in distributed/parallel systems, knowledge discovery, large-scale data mining, big data, distributed/parallel search, and text analysis/process/classification, among others. This special issue is devoted to publishing high-quality papers that involve theoretical and practical aspects of Scientific Programming related to data science and/or AI-based optimization. Reviews on this topic are also welcome.

Potential topics include but are not limited to the following:

  • Large-scale data science and/or AI-based optimization
  • Hybrids involving data science and AI-based optimization for scientific programming
  • Integration of AI-based optimization, data science, and autonomous/distributed search
  • Parallel/distributed data science and/or AI-based optimization
  • Big data in scientific programming
  • High performance computing and data science
  • High performance computing and AI-based optimization
  • Data science and/or AI-based optimization frameworks for scientific programming
  • Data science and/or AI-based optimization for manufacturing and scheduling using scientific programming
  • Data science and/or AI-based optimization for civil and financial engineering using scientific programming
  • AI-based optimization and/or data science in robotics

Articles

  • Special Issue
  • - Volume 2019
  • - Article ID 7154765
  • - Editorial

Data Science and AI-Based Optimization in Scientific Programming

Ricardo Soto | Juan A. Gómez-Pulido | ... | José M. Lanza-Gutiérrez
  • Special Issue
  • - Volume 2018
  • - Article ID 8721246
  • - Research Article

Automatic High-Frequency Trading: An Application to Emerging Chilean Stock Market

Broderick Crawford | Ricardo Soto | ... | Fernando Paredes
  • Special Issue
  • - Volume 2018
  • - Article ID 2613739
  • - Research Article

Optimizing the Borrowing Limit and Interest Rate in P2P System: From Borrowers’ Perspective

Zhihong Li | Lanteng Wu | Hongting Tang
  • Special Issue
  • - Volume 2018
  • - Article ID 5497070
  • - Research Article

Leveraging Image Visual Features in Content-Based Recommender System

Fuhu Deng | Panlong Ren | ... | Zhiguang Qin
  • Special Issue
  • - Volume 2018
  • - Article ID 2767546
  • - Research Article

An Artificial Bee Colony Algorithm with Random Location Updating

Lijun Sun | Tianfei Chen | Qiuwen Zhang
  • Special Issue
  • - Volume 2018
  • - Article ID 2483781
  • - Research Article

Cylindricity Error Evaluation Based on an Improved Harmony Search Algorithm

Yang Yang | Ming Li | ... | QingYue Wei
  • Special Issue
  • - Volume 2018
  • - Article ID 6325635
  • - Research Article

Knowledge Graph Representation via Similarity-Based Embedding

Zhen Tan | Xiang Zhao | ... | Weidong Xiao
  • Special Issue
  • - Volume 2018
  • - Article ID 1435810
  • - Research Article

A Novel Multimean Particle Swarm Optimization Algorithm for Nonlinear Continuous Optimization: Application to Feed-Forward Neural Network Training

Mehmet Hacibeyoglu | Mohammed H. Ibrahim
  • Special Issue
  • - Volume 2018
  • - Article ID 5349284
  • - Research Article

Application of the Polyhedral Conic Functions Method in the Text Classification and Comparative Analysis

Nur Uylaş Satı | Burak Ordin
  • Special Issue
  • - Volume 2018
  • - Article ID 4832972
  • - Research Article

Railway Subgrade Defect Automatic Recognition Method Based on Improved Faster R-CNN

Xinjun Xu | Yang Lei | Feng Yang
Scientific Programming
 Journal metrics
Acceptance rate27%
Submission to final decision65 days
Acceptance to publication33 days
CiteScore2.300
Impact Factor0.963
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