Search Results - subject:"ALGORITHM"

CROP DOCTOR A Prediction Model Using Machine Learning Algorithm

Mandal, Rubi; Lohar, Pranav; Wakalkar, Priyanka - 2022

Farming has been practiced in our country for a long time. Agriculture has evolved significantly over time as modernity. The major issue Indian farmers come across is that they do not choose the relevant crop for their soil. They may experience a significant drop in production as a result of...

Persistent link: https://www.econbiz.de/10014241394

A multi-objective evolutionary optimisation model for heterogeneous vehicles routing and relief items scheduling in humanitarian crises

Mishra, Bhupesh Kumar; Dahal, Keshav; Pervez, Zeeshan; … - In: Decision analytics journal 5 (2022), pp. 1-10

heterogeneous vehicles condition at supply points. The evolutionary algorithm generates the disaster region distribution sequence by …

Persistent link: https://www.econbiz.de/10014336753

A genetic algorithm model for optimizing vehicle routing problems with perishable products under time-window and quality requirements

Agrawal, Anil Kumar; Yadav, Susheel; Gupta, Amit Ambar; … - In: Decision analytics journal 5 (2022), pp. 1-14

-Linear Programming Problem (MINLP). A Genetic Algorithm-based heuristic is also recommended due to the computational complexity required …

Persistent link: https://www.econbiz.de/10014336906

Enhancing digital road networks for better operations in developing countries

Stienen, V. F.; Hertog, Dirk den; Wagenaar, J. C.; … - 2022

Persistent link: https://www.econbiz.de/10013263002

Nonlinear traffic prediction as a matrix completion problem with ensemble learning

Li, Wenqing; Yang, Chuhan; Jabari, Saif Eddin - In: Transportation science 56 (2022) 1, pp. 52-78

Persistent link: https://www.econbiz.de/10012820517

A quantum algorithm for pricing Asian options on valuation trees

Wolf, Mark-Oliver; Horsky, Roman; Koppe, Jonas - In: Risks : open access journal 10 (2022) 12, pp. 1-14

We develop a novel quantum algorithm for approximating the price of a discrete floating-strike Asian option based on an … different times, resulting in smaller quantum circuits. The algorithm may be used with quantum amplitude estimation, enabling a …

Persistent link: https://www.econbiz.de/10014230820

Equilibrium seeking and optimal selection algorithms in peer-to-peer energy markets

Ananduta, Wicak; Grammatico, Sergio - In: Games 13 (2022) 5, pp. 1-13

We consider a clearing problem in peer-to-peer energy markets, where prosumers can trade energy among each other and with the main grid to meet their energy demands. By using a game- theoretic formulation and exploiting operator-theoretic methods for generalized Nash equilibrium seeking, we...

Persistent link: https://www.econbiz.de/10014418056

Deep reinforcement learning for option pricing and hedging under dynamic expectile risk measures

Marzban, Saeed; Delage, Erick; Li, Jonathan Yu-Meng - 2022 - Revised: August 2022

Persistent link: https://www.econbiz.de/10013433493

Model-based graph reinforcement learning for inductive traffic signal control

Devailly, François-Xavier; Larocque, Denis; Charlin, … - 2022

Persistent link: https://www.econbiz.de/10013410880

An approach for variable selection and prediction model for estimating the Risk-Based Capital (RBC) based on machine learning algorithms

Park, Jaewon; Shin, Minsoo - In: Risks : open access journal 10 (2022) 1, pp. 1-20

The risk-based capital (RBC) ratio, an insurance company's financial soundness system, evaluates the capital adequacy needed to withstand unexpected losses. Therefore, continuous institutional improvement has been made to monitor the financial solvency of companies and protect consumers' rights,...

Persistent link: https://www.econbiz.de/10012805414