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An Efficient Algorithm for the Calibration of Agent-Based Models Using Machine Learning

Zegadło, Piotr - 2020

A new algorithm for calibrating agent-based models is proposed, which employs a popular gradient boosting framework …

Persistent link: https://www.econbiz.de/10012839291

Swarm intelligence and nature inspired algorithms for solving vehicle routing problems : a survey

Stamadianos, Themistoklis; Taxidou, Andromachi; … - In: Operational research : an international journal 24 (2024) 3, pp. 1-45

Persistent link: https://www.econbiz.de/10015135653

Online mixed-integer optimization in milliseconds

Bertsimas, Dimitris; Stellato, Bartolomeo - In: INFORMS journal on computing : JOC ; charting new … 34 (2022) 4, pp. 2229-2248

Persistent link: https://www.econbiz.de/10013362730

A polynomial-time dynamic programming algorithm for an optimal picking problem in automated warehouses

Barbato, Michele; Ceselli, Alberto; Righini, Giovanni - In: Journal of scheduling : JOS 27 (2024) 4, pp. 393-407

Persistent link: https://www.econbiz.de/10015053804

Preemptive scheduling of parallel jobs of two sizes with controllable processing times

Shioura, Akiyoshi; Strusevich, Vitaly A.; Shakhlevich, … - In: Journal of scheduling : JOS 27 (2024) 2, pp. 203-224

Persistent link: https://www.econbiz.de/10015049216

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 … chapters reviewing the basics of combinatorial optimization and complexity theory make the book self-contained. As such, even …

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

A prescriptive machine learning approach to mixed-integer convex optimization

Bertsimas, Dimitris; Kim, Cheol Woo - In: INFORMS journal on computing : JOC ; charting new … 35 (2023) 6, pp. 1225-1241

Persistent link: https://www.econbiz.de/10014471462

Portfolio Optimization for Cointelated Pairs : SDEs vs Machine Learning

Mahdavi-Damghani, Babak; Mustafayeva, Konul; Buescu, Cristin - 2020

With the recent rise of Machine Learning (ML) as a candidate to partially replace classic Financial Mathematics (FM) methodologies, we investigate the performances of both in solving the problem of dynamic portfolio optimization in continuous-time, finite-horizon setting for a portfolio of two...

Persistent link: https://www.econbiz.de/10014103540

A two-stage stochastic programming model for collaborative asset protection routing problem enhanced with machine learning : a learning-based matheuristic algorithm

Nikzad, Erfaneh; Bashiri, Mahdi - In: International journal of production research 61 (2023) 1, pp. 81-113

Persistent link: https://www.econbiz.de/10013530851

Application of a stochastic schemata exploiter for multi-objective hyper-parameter optimization of machine learning

Makino, Hiroya; Kita, Eisuke - In: The review of socionetwork strategies 17 (2023) 2, pp. 179-213

Persistent link: https://www.econbiz.de/10014425714