Current Research Trend of Forecasting in Computing, Modeling and Optimization

A special issue of Forecasting (ISSN 2571-9394). This special issue belongs to the section "Forecasting in Computer Science".

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 4193

Special Issue Editors


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Guest Editor
Department of Computing, UOW Malaysia, KDU Penang University College, Penang 10400, Malaysia
Interests: deep learning; data analytics, especially targeting graph convolutional neural networks (GCNN) and graph recurrent neural networks (GRNN); hyper-graph attentions; end-to-end steering learning systems; design algorithms in drug discovery and quantum machine learning
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Facultad de Ciencias Económicas y Empresariales, Universidad Panamericana, Augusto Rodin 498, Ciudad de Mexico 03920, Mexico
Interests: large-scale mathematical optimization; evolutionary calculus; statistical learning; computational intelligence; mathematical finance; health economics; energy economics; competition; economic regulations
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Graduate Program in Systems Engineering, Nuevo Leon State University (UANL), Av. Universidad s/n, Col. Ciudad Universitaria, San Nicolas de los Garza 66455, Nuevo Leon, Mexico
Interests: modeling, optimization and control of large scale systems; optimization; operations research
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MERLIN Research Centre, Faculty of Electrical and Electronic Engineering, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam
Interests: artificial intelligence; computing in mathematics; natural science; engineering and medicine algorithms
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Faculty of Engineering, University Panameric, 20290 Aguascalientes, Mexico
Interests: industrial engineering; applied mathematics; supply chain management
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Special Issue Information

Dear Colleagues,

We are delighted to inform you that the Fifth International Conference on Intelligent Computing and Optimization 2022 will be held on October 27–28, 2022.

Please visit the following website for detailed information regarding the conference: https://www.icico.info/.

With this conference in mind, we would like to invite authors to submit an extended version of their most successful papers for this Special Issue.

The recommended topics include, but are not limited to, the following:

Support vector regression; electrophysical effects; method of uncertain Lagrange multipliers; solar radiation; thermoelectricity; agricultural enterprises; technological process; IoT architecture; Lévy flight firefly algorithm; flower pollination algorithm; fluid flow; sustainable urban development; supply chain; combine harvester; Bayesian optimization; metaheuristic optimization technique; linear integer problem; electrophysical effects; agroecological system; machine learning model; blockchain; PID controller; privacy preservation; natural language processing; image processing; and association rule mining.

Prof. Dr. Joshua Thomas
Prof. Dr. Roman Rodriguez Aguilar
Prof. Dr. Igor S. Litvinchev
Prof. Dr. Pandian Vasant
Prof. Dr. José Antonio Marmolejo Saucedo
Dr. Kwok Tai Chui
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Forecasting is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • industrial engineering
  • deep learning
  • decision analysis
  • big data
  • bioinformatics
  • computational intelligence
  • data science
  • modeling
  • optimization
  • simulation

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Published Papers (1 paper)

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Research

10 pages, 301 KiB  
Article
Solving Linear Integer Models with Variable Bounding
by Elias Munapo, Joshua Chukwuere and Trust Tawanda
Forecasting 2023, 5(2), 443-452; https://doi.org/10.3390/forecast5020024 - 5 May 2023
Viewed by 2960
Abstract
We present a technique to solve the linear integer model with variable bounding. By using the continuous optimal solution of the linear integer model, the variable bounds for the basic variables are approximated and then used to calculate the optimal integer solution. With [...] Read more.
We present a technique to solve the linear integer model with variable bounding. By using the continuous optimal solution of the linear integer model, the variable bounds for the basic variables are approximated and then used to calculate the optimal integer solution. With the variable bounds of the basic variables known, solving a linear integer model is easier by using either the branch and bound, branch and cut, branch and price, branch cut and price, or branch cut and free algorithms. Thus, the search for large numbers of subproblems, which are unnecessary and common for NP Complete linear integer models, is avoided. Full article
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