Search Results - subject:"approximation algorithm"

Support the creation of appropriate tourism offers by finding a model, using machine learning algorithms, to forecast spending by tourists

Ktona, Ana; Muça, Etleva; Çollaku, Denada; Shahini, Irena - In: International journal of technology marketing : IJTMkt 17 (2023) 1, pp. 30-47

Persistent link: https://www.econbiz.de/10013503832

Constrained optimization algorithms for the computation of investable portfolios analytics : evaluation of economic-capital parameters for performance measurement and improvement

Al Janabi, Mazin A. M. - In: Studies in economics and finance 40 (2023) 1, pp. 112-137

Persistent link: https://www.econbiz.de/10013503886

Design of Heuristic Algorithms for Hard Optimization : With Python Codes for the Travelling Salesman Problem

Taillard, Éric D. - 2023

Part I: Combinatorial Optimization, Complexity Theory and Problem Modelling -- 1. Elements of Graphs and Complexity Theory -- 2. A Short List of Combinatorial Optimization Problems -- 3. Problem Modelling -- Part II: Basic Heuristic Techniques -- 4. Constructive Methods -- 5. Local Search -- 6....

Persistent link: https://www.econbiz.de/10013504623

An efficient heuristic for the fixed-route vehicle-refueling problem

Schulz, Arne; Suzuki, Yoshinori - In: Transportation research / E : an international journal 169 (2023), pp. 1-15

Persistent link: https://www.econbiz.de/10013535834

Algorithmic mechanism design for egalitarian and congestion-aware airport slot allocation

Dixit, Aasheesh Kumar; Shakya, Garima; Jakhar, Suresh Kumar - In: Transportation research / E : an international journal 169 (2023), pp. 1-23

Persistent link: https://www.econbiz.de/10013535835

Self-Preferencing at Amazon : Evidence from Search Rankings

Farronato, Chiara; Fradkin, Andrey; MacKay, Alexander - National Bureau of Economic Research - 2023

We study whether Amazon engages in self-preferencing on its marketplace by favoring its own brands (e.g., Amazon Basics) in search. To address this question, we collect new micro-level consumer search data using a custom browser extension installed by a panel of study participants. Using this...

Persistent link: https://www.econbiz.de/10013537786

Preference for human or algorithmic forecasting advice does not predict if and how it is used

Himmelstein, Mark; Budescu, David V. - In: Journal of behavioral decision making 36 (2023) 1, pp. 1-24

Persistent link: https://www.econbiz.de/10013464468

A practical multi-objective auction design and optimization framework for sponsored search

Li, Qian; Wang, Liang; Xia, Lirong; Zheng, Wenxun; … - In: Operations research letters 51 (2023) 6, pp. 541-547

Persistent link: https://www.econbiz.de/10014465719

Online learning for route planning with on-time arrival reliability

Jiang, Hongyi; Samaranayake, Samitha; Zhao, Qing - In: Operations research letters 51 (2023) 6, pp. 548-554

Persistent link: https://www.econbiz.de/10014465722

Multiprocessor jobs, preemptive schedules, and one-competitive online algorithms

Sgall, Jiří; Woeginger, Gerhard J. - In: Operations research letters 51 (2023) 6, pp. 583-590

Persistent link: https://www.econbiz.de/10014465730