A Faster-Than Relation for Semi-Markov Decision Processes [PDF]
Electronic Proceedings in Theoretical Computer Science, 2020 When modeling concurrent or cyber-physical systems, non-functional requirements such as time are important to consider. In order to improve the timing aspects of a model, it is necessary to have some notion of what it means for a process to be faster ...
Mathias Ruggaard Pedersen +2 more
doaj +6 more sources
On Cognitive Searching Optimization in Semi-Markov Jump Decision Using Multistep Transition and Mental Rehearsal [PDF]
Complexity, 2021 Cognitive searching optimization is a subconscious mental phenomenon in decision making. Aroused by exploiting accessible human action, alleviating inefficient decision and shrinking searching space remain challenges for optimizing the solution space ...
Bingxuan Ren, Tangwen Yin, Shan Fu
doaj +2 more sources
Semi-Markov decision process based congestion control algorithm for video transmission [PDF]
Tongxin xuebao, 2014 Due to the problem that the congestion control algorithm of transmission control protocol (TCP) cannot meet the requirements of quality of experience for Internet video transmission, a semi-Markov decision process based conges-tion control algorithm for ...
Bo TIAN, Yi-min YANG, Shu-ting CAI
doaj +5 more sources
Supply Chain Scheduling Using Double Deep Time-Series Differential Neural Network [PDF]
E3S Web of Conferences, 2021 The purpose of supply chain scheduling is to be able to find an optimized plan and strategy so as to optimize the benefits of the entire supply chain. This paper proposes a method for processing tightly coordinated supply chain task scheduling problems ...
Lu Wei, Tan Hua, Yan Xiaohui, Lv Cixing
doaj +1 more source
Applied Sciences, 2023 In addressing the issues of low efficiency in bridge maintenance decision making, the inaccurate estimation of maintenance costs, and the lack of specificity in decision making regarding maintenance measures for specific defects, this study utilizes data
Gongfeng Xin +5 more
doaj +1 more source
The effectiveness of naive optimization of the egress path for an active-shooter scenario
Heliyon, 2023 There have been 130 mass shootings in the United States from 1982 to June, 2022 according to the Mother Jones database of active shooter events. In these critical scenarios, making the right decisions while evacuating can be the difference between life ...
Joseph Lavalle-Rivera +3 more
doaj +1 more source
Risk probability optimization problem for finite horizon continuous time Markov decision processes with loss rate [PDF]
, 2021 summary:This paper presents a study the risk probability optimality for finite horizon continuous-time Markov decision process with loss rate and unbounded transition rates.
Wen, Xian, Huo, Haifeng
core +1 more source
The exponential cost optimality for finite horizon semi-Markov decision processes [PDF]
, 2022 summary:This paper considers an exponential cost optimality problem for finite horizon semi-Markov decision processes (SMDPs). The objective is to calculate an optimal policy with minimal exponential costs over the full set of policies in a finite ...
Wen, Xian, Huo, Haifeng
core +1 more source
A Task Offloading Scheme in Vehicular Fog and Cloud Computing System
IEEE Access, 2020 Vehicular fog and cloud computing (VFCC) system, which provides huge computing power for processing numerous computation-intensive and delay sensitive tasks, is envisioned as an enabler for intelligent connected vehicles (ICVs).
Qiong Wu +5 more
doaj +1 more source
A Hemimetric Extension of Simulation for Semi-Markov Decision Processes [PDF]
, 2018 Semi-Markov decision processes (SMDPs) are continuous-time Markov decision processes where the residence-time on states is governed by generic distributions on the positive real line. In this paper we consider the problem of comparing two SMDPs with respect to their time-dependent behaviour.
Mathias Ruggaard Pedersen +3 more
openaire +5 more sources