Results 81 to 90 of about 256,176 (302)
Multistage Stochastic Integer Programs: An Introduction [PDF]
, 2001 We consider linear multistage stochastic integer programs and study their functional and dynamic programming formulations as well as conditions for optimality and stability of solutions. Furthermore, we study the application of the Rockafellar-Wets dualization approach as well as the structure and algorithmic potential of corresponding dual problems ...
Römisch, Werner, Schultz, Rüdiger
openaire +3 more sources
Advanced Intelligent Systems, EarlyView.This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
Planning of a supply chain for anti-personal landmine disposal by means of robots
Innovar: Revista de Ciencias Administrativas y Sociales, 2012 The current paper presents a Mixed-Integer-Linear Programming Model (MIP) which incorporates strategic and tactical management decisions into the supply chain of an anti-personal landmine robotic detection and disposal system.
Rafael Guillermo García-Cáceres +2 more
doaj
SIAM Journal on Optimization, 2019 We present an asynchronous bundle-trust-region algorithm within the context of Lagrangian dual decomposition for stochastic mixed-integer programs.
Kibaek Kim, C. Petra, V. Zavala
semanticscholar +1 more source
Risk‐aware safe reinforcement learning for control of stochastic linear systems
Asian Journal of Control, EarlyView.Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili +2 more
wiley +1 more source
Journal of Industrial Engineering and Management, 2015 Purpose: This paper aims to propose an optimal scheduling for medical resources order and shipment in community health service centers (CHSCs).Design/methodology/approach: This paper presents two logistical support models for scheduling medical resources
Ming Liu
doaj +1 more source
Network Interdiction and Stochastic Integer Programming
, 2013 D. L. Woodruff
semanticscholar +2 more sources
A goodness‐of‐fit test for regression models with discrete outcomes
Canadian Journal of Statistics, EarlyView.Abstract Regression models are often used to analyze discrete outcomes, but classical goodness‐of‐fit tests such as those based on the deviance or Pearson's statistic can be misleading or have little power in this context. To address this issue, we propose a new test, inspired by the work of Czado et al.
Lu Yang +2 more
wiley +1 more source
A sequential stochastic mixed integer programming model for tactical master surgery scheduling
European Journal of Operational Research, 2018 In this paper, we develop a stochastic mixed integer programming model to optimise the tactical master surgery schedule (MSS) in order to achieve a better patient flow under downstream capacity constraints. We optimise the process over several scheduling
Ashwani Kumar +3 more
semanticscholar +1 more source
Energy Science &Engineering, EarlyView.A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan +4 more
wiley +1 more source