Search Results - subject:"Learning algorithm"

Technical note: characterizing and computing the set of nash equilibria via vector optimization

Feinstein, Zachary; Rudloff, Birgit - In: Operations research 72 (2024) 5, pp. 2082-2096

Persistent link: https://www.econbiz.de/10015361768

A (slightly) improved approximation algorithm for metric TSP

Karlin, Anna R.; Klein, Nathan; Gharan, Shayan Oveis - In: Operations research 72 (2024) 6, pp. 2543-2594

Persistent link: https://www.econbiz.de/10015371524

Modelling Tinnitus Functional Index reduction using supervised machine learning algorithms

Agyemang, Edmund Fosu - In: Statistics in transition : an international journal of … 25 (2024) 4, pp. 51-77

Statistics in Transition new series vol.25, 2024, 4, Modelling Tinnitus Functional Index reduction using supervised machine learning algorithms, DOI https://doi.org/10.59139/stattrans-2024-003, Edmund Fosu Agyemang

Persistent link: https://www.econbiz.de/10015338081

Explanation seeking and anomalous recommendation adherence in human-to-human versus human-to-artificial intelligence interactions

Jenkin, Tracy; Kelley, Stephanie; Ovchinnikov, Anton; … - In: Decision sciences 55 (2024) 6, pp. 653-668

Persistent link: https://www.econbiz.de/10015372021

Sequential model of FSN classification with ZABLS slotting and vehicle routing problem using hybridization of ant colony optimization and tabu search to reduce picking time

Madhani, Genta Yusuf; Sriwana, Iphov Kumala; … - In: Journal of industrial engineering and management : JIEM 17 (2024) 3, pp. 853-872

Purpose: The research purpose is to enhance picking performance by developing a hybrid algorithm that classifies SKU, determines slot, and routes the process for Delivery Order (DO). Design/methodology/approach: FSN classification is used for categorizing the products into three groups:...

Persistent link: https://www.econbiz.de/10015386787

Fresh produce supply chain network design and management using swarm intelligence : a case study of Egypt

Fahmy, Sherif; Gaber, Yomna; Zaki, Areej; Gaafar, Mohamed - In: Journal of industrial engineering and management : JIEM 17 (2024) 2, pp. 583-610

Purpose: The objective of this work is to fulfil a strategic requirement in Egypt’s agriculture industry by establishing a fresh produce supply chain network (SCN) that manages the collection, processing, packaging, and distribution of products. Design/methodology/approach: A two-phase...

Persistent link: https://www.econbiz.de/10015375625

Deterministic modelling of implied volatility in cryptocurrency options with underlying multiple resolution momentum indicator and non-linear machine learning regression algorithm

Leung, F.; Law, M.; Djeng, S. K. - In: Financial innovation : FIN 10 (2024), pp. 1-25

Modeling implied volatility (IV) is important for option pricing, hedging, and risk management. Previous studies of deterministic implied volatility functions (DIVFs) propose two parameters, moneyness and time to maturity, to estimate implied volatility. Recent DIVF models have included factors...

Persistent link: https://www.econbiz.de/10015361594

Computational performance of deep reinforcement learning to find Nash equilibria

Graf, Christoph; Zobernig, Viktor; Schmidt, Johannes; … - In: Computational economics 63 (2024) 2, pp. 529-576

Persistent link: https://www.econbiz.de/10014472392

Algorithms in selection decisions : effective, but unappreciated

Rabinovitch, Hagai; Budescu, David V.; Bereby-Meyer, Yoella - In: Journal of behavioral decision making 37 (2024) 2, pp. 1-20

Persistent link: https://www.econbiz.de/10014473648

Discretisation of Langevin diffusion in the weak log-concave case

Crespo Navas, Marelys - 2024

Persistent link: https://www.econbiz.de/10014476111