Learning and Intelligent Optimization. 8th International Conference, Lion 8, Gainesville, FL, USA, February 16-21, 2014. Revised Selected Papers. Val. 8426.

?

Learning and Intelligent Optimization. 8th International Conference, Lion 8, Gainesville, FL, USA, February 16-21, 2014. Revised Selected Papers

Vol. 8426. Springer, 2014.

Under the general editorship: Pardalos P. M., M. G. Resende, C. Vogiatzis, J. L. Walteros

This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Conference on Learning and Optimization, LION 8, which was held in Gainesville, FL, USA, in February 2014. The 33 contributions presented were carefully reviewed and selected for inclusion in this book. A large variety of topics are covered, such as algorithm configuration; multiobjective optimization; metaheuristics; graphs and networks; logistics and transportation; and biomedical applications.

The Theory of Set Tolerances

Jäger G., Goldengorin B. I., Pardalos P. M., , in: Learning and Intelligent Optimization. 8th International Conference, Lion 8, Gainesville, FL, USA, February 16-21, 2014. Revised Selected PapersVol. 8426.: Springer, 2014. P. 362–377.

The theory of single upper and lower tolerances for combinatorial minimization problems has been formalized in 2005 for the three types of cost functions sum, product and maximum, and since then shown to be rather useful in creating heuristics and exact algorithms for the Traveling Salesman Problem and related problems. In this paper for these ...

Added: October 26, 2014

Robust Support Vector Machines with Polyhedral Uncertainty of the Input Data

Fan N., Sadeghi E., Pardalos P. M., , in: Learning and Intelligent Optimization. 8th International Conference, Lion 8, Gainesville, FL, USA, February 16-21, 2014. Revised Selected PapersVol. 8426.: Springer, 2014. P. 291–305.

In this paper, we use robust optimization models to formulate the support vector machines (SVMs) with polyhedral uncertainties of the input data points. The formulations in our models are nonlinear and we use Lagrange multipliers to give the first-order optimality conditions and reformulation methods to solve these problems. In addition, we have proposed the models ...

Added: October 26, 2014

Language: English

Text on another site

Keywords: Decision analysis machine learning dynamic programming combinatorial algorithms SAT solving artificial intelligence constraints feature selection

Learning and Intelligent Optimization. 8th International Conference, Lion 8, Gainesville, FL, USA, February 16-21, 2014. Revised Selected Papers

The Global Good. The Future of Culture, Creation, and Author

M.: UNESCO Chair on Copyright, Neighbouring, Cultural and Information Rights (HSE University), 2026.

The compendium brings together short academic papers (Think pieces UNESCO) in English prepared by fifth-year law students of HSE University during their professional internship at the UNESCO Chair on Copyright, Neighbouring, Cultural and Information Rights under the supervision of Mariia Katkova. Following MONDIACULT 2022, which recognized culture as a global good, the papers examine the ...

Added: September 28, 2026

Scalable machine learning approach to disordered 𝑠-wave superconductors

Vyacheslav D. Neverov, Lukyanov A., Andrey V. Krasavin et al., Physical Review B: Condensed Matter and Materials Physics 2026 Vol. 113 No. 2 Article 024515

We develop a neural network approach to solve the self-consistent Bogoliubov-de Gennes equations in strongly disordered s-wave superconductors. The method accurately reproduces inhomogeneous gap distributions and generalizes to system sizes far larger than those used in training. It reduces computational scaling from O(N6 ) to O(N2), enabling quantitative analysis of percolation phenomena and the superconductor-insulator ...

Added: September 5, 2026

Искусственный интеллект и этика будущего

Medushevsky A. N., Liberal.ru 2026

Today, more than ever before, the contribution of new technologies shapes the conditions of humanity's existence as a biological species, prompting a debate about its prospects for survival. This process of transformation—which spans every sphere of social and moral regulation, from family relations and child-rearing to the very meaning of life—is dividing public opinion between ...

Added: August 26, 2026

Mathematical methods of reinforcement learning

Belomestny D., Gasnikov A., Gladin E. et al., Russian Mathematical Surveys 2026 Vol. 81 No. 4(490) P. 3–90

Reinforcement learning (RL) is increasingly grounded in tools from probability, optimization, and operator theory. This survey organizes the mathematical structures that underpin the design and analysis of modern algorithms in RL. We begin from Markov decision processes (MDPs) and the Bellman operators, emphasizing contraction mappings, monotonicity, and fixed-point theory that yield convergence guarantees and rates ...

Added: August 3, 2026

The Evolution Of Law Concept Of Information: From Philosophical Abstraction To Quantum Information And Cryptography In The Context Of Growing Cyber Threats And The Transition To Post-Quantum Security Method

Polyakov S., Smeshkova L., Lapin V. et al., Veredas do Direito 2026 Vol. 23 No. 11 Article 237531

The article examines the significant transformation of the concept of information and its impact on modern security technologies. Until the middle of the 20th century, the concept of information was considered as a philosophical category related to the transfer of knowledge and meaning. With the advent of Claude Shannon's communication theory, information was reinterpreted as ...

Added: July 27, 2026

Can Humor Reveal Dark Personalities? Machine-Learning Detection of the Dark Tetrad

Glinkina L. S., Doptan E., Kosonogov V., Journal of Individual Differences 2026 No. 47(3) P. 132–143

This study investigates a novel method for assessing Dark Tetrad personality traits (Machiavellianism, Narcissism, Psychopathy, Everyday Sadism) through humor evaluation. Traditional self-report measures are limited by response biases, creating a need for indirect behavioral assessment. We hypothesized that individual differences in these traits would correlate with distinct patterns in evaluating visual humor (funniness, perceived kindness/cruelty, ...

Added: July 8, 2026

The Use of the Missing Sample Simulation Modeling to Create a Classification Model for Three or More Classes by the Example of the Carbohydrate Metabolism Disorder Degree Detection Problem

Новиков Р. С., Novopashin M., Pozin B., Programming and Computer Software 2026 Vol. 52 No. 1 P. 28 – 38

Added: June 26, 2026

Mapping the research on artificial intelligence in corporate learning: a bibliometric analysis

Asemota M. O., Learning Organization 2026 Vol. 33 No. 5 P. 730–752

Purpose – This research aims to synthesize the current literature on the application and impact of artificial intelligence (AI) in corporate learning. It explores the historical foundations, common theories and key themes surrounding AI’s integration into corporate learning practices across all major sectors. Design/methodology/approach – A systematic literature review was conducted using bibliometric analysis via VOSviewer software. A comprehensive ...

Added: June 8, 2026

Социально-психологические факторы доверия искусственному интеллекту: состояние исследований

Samoilov O., Tatarko A., Вопросы теоретической экономики 2026 № 2 С. 209–228

The article presents a theoretical review of literature from the last ten years devoted to the analysis of socio-psychological factors of trust in artificial intelligence. The widespread adoption of automated artificial intelligence systems, which is associated with expected economic growth, reduced resource costs, and the optimization of various work processes, often faces user distrust in ...

Added: May 21, 2026

Правовой режим объектов, созданных искусственным интеллектом: обзор зарубежной практики

Kirsanova E., Pakshin P., Право и экономика 2026 № 3 (456) С. 26–34

The article examines the legal regime of intellectual property created by artificial intelligence. Changes to the existing legal framework towards recognizing artificial intelligence as a legal entity would violate the rationale and fundamental principles of the intellectual property rights system. This article provides an overview of different views on the rationale for granting copyright to ...

Added: April 28, 2026

Intelligent Interfaces and Systems for Human-Computer Interaction

Karpov A., Dvoynikova A., Ryumina E., , in: Lecture Notes in Networks and SystemsVol. 776.: Springer, 2023. P. 3–13.

Abstract. The paper presents a brief review of intelligent interfaces and systems of human-machine interaction. To date, few intelligent interfaces and systems are used in various areas of industry. All the systems of human-machine interaction can be divided into intelligent synthesis and analysis systems. Intelligent synthesis implies the presentation of information from the system to ...

Added: April 25, 2026

Machine Learning Approach to Anticancer Activity Prediction of Transition-Metal Complexes Based on a Large-Scale Experimental Database

Krasnov L., Malikov D., Kiseleva M. et al., Journal of Medicinal Chemistry 2026 Vol. 69 No. 8 P. 8838–8851

In this work, we developed a straightforward data-driven approach to predict the cytotoxicity of metal complexes based entirely on their (metal + ligands) composition. To this end, we have manually curated MetalCytoToxDB─a comprehensive experimental database comprising 26,500 IC50 values for 7050 metal complexes against 754 cell lines from 1921 articles. Based on these, machine learning ...

Added: April 23, 2026

Особые экономические зоны Российской Федерации: моделирование решений потенциальных резидентов и процесса их генерации

Plesovskikh A., Journal of Applied Economic Research 2023 Т. 22 № 2 С. 323–354

Modern studies widely discuss the role of special economic zones in stimulating the economic growth and development of Russia, generating the necessary investment flows and increasing the country's innovative potential by expanding production in high-tech sectors of the economy with high added value. The purpose of the study is to model the process of generating ...

Added: April 13, 2026

Replacing Criterion of Creativity with Criterion of Investment for Results Created by Artificial Intelligence

Pakshin P., Legal Issues in the Digital Age 2026 Vol. 7 No. 1 P. 32–48

Artificial intelligence plays a significant role in automation, minimizing human intervention in fields such as medicine, art, and law. Despite the historically close relationship between art and technology, generative AI has expanded the potential for creative activity. A significant catalyst for this process has been the proliferation of pre-trained AI systems, which have accelerated the ...

Added: March 31, 2026

A Tool for Mass Generation of Random Step Environment Models with User-Defined Landscape Features

Gabdrahmanov R., Tsoy T., Martinez-Garcia E. et al., , in: Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - (Volume 1) ICINCO 2024.: SciTePress, 2024. P. 511–518.

Computer simulations are growing in popularity in robotics research due to their near-zero cost of error and lower labor intensity. One of necessary components of a simulation, in addition to a robot model, is a model of a world in which the robot operates. While it is always possible to construct a world model manually, ...

Added: March 17, 2026

Real-Bogus Classification for ZTF Data Releases: Two Approaches

Semenikhin T., Kornilov M., Pruzhinskaya M. et al., , in: 26th International Conference, DAMDID/RCDL 2024, Nizhny Novgorod, Russia, October 23–25, 2024, Revised Selected Papers. Data Analytics and Management in Data Intensive Domains. (CCIS, volume 2641).: Springer, 2026. P. 211–219.

We considered two fundamentally different approaches to real-bogus classification within the Zwicky Transient Facility survey data. The first approach is based on neural networks that take sequences of object images as input. The second approach uses features extracted from light curves and classical machine learning methods. Several models for both approaches were tested. Quality metrics ...

Added: March 11, 2026

Кластеризация паттернов потребления электроэнергии умного дома на основе ансамблевых методов машинного обучения

Maltseva S. V., Бериков В. Б., Кладов Д. Е. et al., В кн.: Информатика и прикладная математика: Материалы X Международной научно-практической конференции (08.10 - 11.10.2025 г.)Т. 1: Сборник материалов часть 1.: Алматы: Институт информационных и вычислительных технологий КН МНВО РК, 2025. С. 227–232.

This paper examines the problem of clustering consumption patterns for a private household. An ensemble algorithm based on the Wasserstein metric was developed and applied to cluster daily load profiles. The proposed approach allows for identifying typical energy consumption scenarios and interpreting consumer behavior. Results from computational experiments using real data are presented. ...

Added: March 3, 2026