Harmony search algorithm and related variants: A systematic review

F Qin, AM Zain, KQ Zhou - Swarm and Evolutionary Computation, 2022 - Elsevier
Harmony search (HS) algorithm is a novel metaheuristic algorithm, inspired by the
phenomenon that musicians repeatedly adjust the pitch of each instrument to finally achieve …

Military applications of machine learning: A bibliometric perspective

JJ Galán, RA Carrasco, A LaTorre - Mathematics, 2022 - mdpi.com
The military environment generates a large amount of data of great importance, which
makes necessary the use of machine learning for its processing. Its ability to learn and …

Optimal maintenance strategy for large-scale production systems under maintenance time uncertainty

H Jin, X Song, H Xia - Reliability Engineering & System Safety, 2023 - Elsevier
Many complex industrial systems have numerous operational states and oftentimes suffer
from a variety of uncertainties. Determining how to address the uncertainty and efficiently …

Formalization of Methods for the Development of Autonomous Artificial Intelligence Systems

MZ Zgurovsky, PO Kasyanov, LB Levenchuk - Cybernetics and Systems …, 2023 - Springer
This paper explores the problem of formalizing the development of autonomous artificial
intelligence systems (AAISs) whose mathematical models may be complex or non …

Boosting Accuracy of Differentially Private Continuous Data Release for Federated Learning

J Cai, Q Ye, H Hu, X Liu, Y Fu - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Incorporating differentially private continuous data release (DPCR) into private federated
learning (FL) has recently emerged as a powerful technique for enhancing accuracy …

An exposition of least square Monte Carlo approach for real options valuation

R Ahmadi, RB Bratvold - Geoenergy Science and Engineering, 2023 - Elsevier
Abstract The least square Monte Carlo simulation (LSM) approach is a state-of-the-art
approach built upon approximate dynamic programming for the selection of single or …

Survey on Sensing, Modelling and Reasoning Aspects in Military

E Kalff, T Maaiveld, M Schadd… - Modelling and Simulation …, 2024 - books.google.com
Autonomous systems are increasingly used for military tasks. Military autonomous systems,
and specifically land-based systems, require a good understanding of the terrain to be able …

Reinforcement Learning-based Dynamic Weapon Assignment to Multi-Caliber Long-Range Artillery Attacks

H Kim, JH Kim, J Kong, JH Kyung - Journal of Korean Society of …, 2022 - koreascience.kr
North Korea continues to upgrade and display its long-range rocket launchers to emphasize
its military strength. Recently Republic of Korea kicked off the development of anti-artillery …

Formalization and Development of Autonomous Artificial Intelligence Systems

P Kasyanov, LB Levenchuk - System Analysis and Artificial Intelligence, 2023 - Springer
This paper explores the problem of formalizing the development of autonomous artificial
intelligence systems (AAIS), whose mathematical models may be complex or non …

Strategizing the Shallows: Leveraging Multi-Agent Reinforcement Learning for Enhanced Tactical Decision-Making in Littoral Naval Warfare

L Vasankari, K Saastamoinen - IFIP International Conference on Artificial …, 2024 - Springer
Naval engagements, though rare, present complex challenges for data-driven machine
learning due to their intricate dynamics and the scarcity of empirical evidence. These …