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A tutorial on value function approximation for stochastic and dynamic transportation

Heinold, Arne - In: 4OR : quarterly journal of the Belgian, French and … 22 (2024) 1, pp. 145-173

Persistent link: https://www.econbiz.de/10014531263

Giorgi, Giorgio; Jiménez, Bienvenido; Novo, Vicente - 2023

Preface -- Chapter 1. Basic Notions and Definitions -- 1.1. Introduction -- 1.2. Basic Notions of Analysis and Linear Algebra -- 1.3. Basic Notions and Properties of Optimization Problems -- Chapter 2. Elements of Convex Analysis. Theorems of the Alternative for Linear Systems. Tangent Cones --...

Persistent link: https://www.econbiz.de/10014318479

Optimal service time windows

Ulmer, Marlin Wolf; Goodson, Justin C.; Thomas, Barrett W. - In: Transportation science 58 (2024) 2, pp. 394-411

Persistent link: https://www.econbiz.de/10014527144

Incorporating holding costs in continuous-time service network design : new model, relaxation, and exact algorithm

Shu, Shengnan; Xu, Zhou; Baldacci, Roberto - In: Transportation science 58 (2024) 2, pp. 412-433

Persistent link: https://www.econbiz.de/10014527145

Evolutionary Optimization.

Sarker, Ruhul - 2002

Persistent link: https://www.econbiz.de/10012685592

Unequal-area stochastic facility layout problems : solutions using improved covariance matrix adaptation evolution strategy, particle swarm optimisation, and genetic algorithm

Ali Derakhshan Asl; Kuan Yew Wong; Tiwari, Manoj Kumar - In: International journal of production research 54 (2016) 3/4, pp. 799-823

Persistent link: https://www.econbiz.de/10011491863

A step-size follow-the-leader optimization algorithm with an improved step parameters

Kottath, Rahul - In: Decision analytics journal 9 (2023), pp. 1-16

Follow the leader (FTL) algorithm is a newly developed optimization algorithm inspired by a sheep's movement within a flock. FTL has been successfully implemented to solve power prediction problems. However, the probability of falling in local optima is high due to randomness in the step...

Persistent link: https://www.econbiz.de/10014533154

Is Q-learning minimax optimal? : a tight sample complexity analysis

In: Operations research 72 (2024) 1, pp. 222-236

Persistent link: https://www.econbiz.de/10014505079

Scheduling aerial resource operations for the extinction of large-scale wildfires

Skorin-Kapov, Nina; Mesarić, Luka; García, Fernando … - In: Omega : the international journal of management science 122 (2024), pp. 1-19

Persistent link: https://www.econbiz.de/10014532368

Scheduling a set of jobs with convex piecewise linear cost functions on a single-batch-processing machine

Zhang, Hongbin; Yang, Yu; Wu, Feng - In: Omega : the international journal of management science 122 (2024), pp. 1-15

Persistent link: https://www.econbiz.de/10014532446