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Modelling, Computation and Optimization in Information Systems and Management Sciences : Proceedings of the 5th International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences - MCO 2025, Volume 2 / edited by Hoai An Le Thi, Tao Pham Dinh, Hoai Minh Le.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online

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Format:
Book
Author/Creator:
Le Thi, Hoai An.
Contributor:
Pham, Dinh Tao.
Le, Hoai Minh.
Series:
Lecture Notes in Networks and Systems, 2367-3389 ; 1689
Language:
English
Subjects (All):
Computational intelligence.
Engineering mathematics.
Engineering--Data processing.
Engineering.
Computational Intelligence.
Mathematical and Computational Engineering Applications.
Local Subjects:
Computational Intelligence.
Mathematical and Computational Engineering Applications.
Physical Description:
1 online resource (0 pages)
Edition:
1st ed. 2026.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
Summary:
This 2-volume set of proceedings contains 62 selected full papers presented at the Fifth International Conference on Modeling, Computation and Optimization in Information Systems and Management Science (MCO 2025), held on June 4–6, 2025, in Metz, France, celebrating the 40th anniversary of DC (Difference of Convex functions) programming and DCA (DC Algorithms)—pioneering and highly influential methodologies founded by Pham Dinh Tao and Le Thi Hoai An. This second volume (Part II) features 31 articles on key areas of AI and data science, including machine learning and big data, computer vision and image processing, explainability, data privacy, and fairness in trustworthy AI, as well as innovations for health—from data acquisition to AI-driven analysis. These proceedings are intended to serve as a lasting reference and a source of inspiration for research and applications in AI, data science, and emerging technologies.
Contents:
DC programming and DCA: 40 Years of breakthroughs driving Intelligence and Technology
A DC approach for the chance-constrained portfolio optimization problem
Consolidation of Biomimicry and Swarm-based Metaheuristic Algorithms with Supervised Learning Neural Network for Function Approximation.
Notes:
Description based on publisher supplied metadata and other sources.
Other Format:
Print version: Le Thi, Hoai An Modelling, Computation and Optimization in Information Systems and Management Sciences
ISBN:
9783032083845
OCLC:
1561170438

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