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Analysis of asset liability management (ALM) strategies especially for long term horizon is a crucial issue for banks, funds and insurance companies. Modern economic models, investment strategies and optimization criteria make ALM studies…

Distributed, Parallel, and Cluster Computing · Computer Science 2008-11-11 R. Nuriyev

While developing an information system for the University of Bern, we were faced with two major issues: managing software changes and adapting Business Information Models. Software techniques well-suited to software development teams exist,…

Software Engineering · Computer Science 2008-04-03 Patrick Chénais

In this paper, we consider the problem of multi-agent navigation in partially observable grid environments. This problem is challenging for centralized planning approaches as they, typically, rely on the full knowledge of the environment.…

Machine Learning · Computer Science 2021-08-16 Vasilii Davydov , Alexey Skrynnik , Konstantin Yakovlev , Aleksandr I. Panov

Quantum computers have the potential to provide an advantage over classical computers in a number of areas. Numerous metrics to benchmark the performance of quantum computers, ranging from their individual hardware components to entire…

Increasing interest in integrating advanced robotics within manufacturing has spurred a renewed concentration in developing real-time scheduling solutions to coordinate human-robot collaboration in this environment. Traditionally, the…

Robotics · Computer Science 2020-06-30 Zheyuan Wang , Matthew Gombolay

Multi-UAV air combat is a complex task involving multiple autonomous UAVs, an evolving field in both aerospace and artificial intelligence. This paper aims to enhance adversarial performance through collaborative strategies. Previous…

Multiagent Systems · Computer Science 2025-01-24 Jinhui Pang , Jinglin He , Noureldin Mohamed Abdelaal Ahmed Mohamed , Changqing Lin , Zhihui Zhang , Xiaoshuai Hao

Data-target association is an important step in multi-target localization for the intelligent operation of un- manned systems in numerous applications such as search and rescue, traffic management and surveillance. The objective of this…

Systems and Control · Computer Science 2017-05-31 Samuel Silva , Rengan Suresh , Feng Tao , Johnathan Votion , Yongcan Cao

To ensure uninterrupted services to the cloud clients from federated cloud providers, it is important to guarantee an efficient allocation of the cloud resources to users to improve the rate of client satisfaction and the quality of the…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-01-22 Kemchi Sofiane , Abdelhafid Zitouni , Mahieddine Djoudi

Recently using machine learning (ML) based techniques to optimize modern database management systems has attracted intensive interest from both industry and academia. With an objective to tune a specific component of a DBMS (e.g., index…

Databases · Computer Science 2023-03-13 Xinyi Zhang , Zhuo Chang , Hong Wu , Yang Li , Jia Chen , Jian Tan , Feifei Li , Bin Cui

Business processes need to have certain constraints such that they can lead to sustainable outcomes. These constraints can be manifold and their adherence has to be monitored. In the past compliance checking has been applied in several…

Computers and Society · Computer Science 2020-06-19 Clemens Schreiber

The latest trends in high-performance computing systems show an increasing demand on the use of a large scale multicore systems in a efficient way, so that high compute-intensive applications can be executed reasonably well. However, the…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-02-25 Juliana M. N. Silva , Cristina Boeres , Lúcia M. A. Drummond , Artur A. Pessoa

Multi-cloud concept has broaden the world of cloud computing and has become a buzzword today. The word Multi-cloud envisions utilization of services from multiple heterogeneous cloud providers via a single architecture at customer premises.…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-08-31 Deepika Saxena , Rishabh Gupta , Ashutosh Kumar Singh

Goal models have been widely used in Computer Science to represent software requirements, business objectives, and design qualities. Existing goal modelling techniques, however, have shown limitations of expressiveness and/or tractability…

Artificial Intelligence · Computer Science 2016-12-09 Chi Mai Nguyen , Roberto Sebastiani , Paolo Giorgini , John Mylopoulos

Many robotics applications require alignment and fusion of observations obtained at multiple views to form a global model of the environment. Multi-way data association methods provide a mechanism to improve alignment accuracy of pairwise…

Robotics · Computer Science 2020-03-06 Kaveh Fathian , Kasra Khosoussi , Yulun Tian , Parker Lusk , Jonathan P. How

The air transportation market is highly competitive and dynamic. Airlines often form alliances to expand their network reach, improve operational efficiency, and enhance customer experience. However, the impact of these alliances on market…

Social and Information Networks · Computer Science 2026-01-01 Khalil Al Handawi , Fabian Bastin

Companies that collaborate within the product development processes need to implement an effective management of their collaborative activities. Despite the implementation of a PLM system, the collaborative activities are not efficient as…

Software Engineering · Computer Science 2008-12-18 Soumaya El Kadiri , Philippe Pernelle , Miguel Delattre , Abdelaziz Bouras

Real-world decision-making tasks are generally complex, requiring trade-offs between multiple, often conflicting, objectives. Despite this, the majority of research in reinforcement learning and decision-theoretic planning either assumes…

Agile methods are defined through guidelines comprising various practices intended to enable agile ways of working. These guidelines further comprise a specific set of agile practices aiming to enable teams for an agile way of working.…

Software Engineering · Computer Science 2025-07-15 Thomas Hansper , Kevin Phong Pham , Michael Neumann

Energy systems optimization problems are complex due to strongly non-linear system behavior and multiple competing objectives, e.g. economic gain vs. environmental impact. Moreover, a large number of input variables and different variable…

Capability planning problems are pervasive throughout many areas of human interest with prominent examples found in defense and security. Planning provides a unique context for optimization that has not been explored in great detail and…

Neural and Evolutionary Computing · Computer Science 2009-07-03 James M. Whitacre , Hussein A. Abbass , Ruhul Sarker , Axel Bender , Stephen Baker