This paper presents the review of past studies concerning mathematical models for rescheduling passenger railway services, as part of delay management in the occurrence of railway disruption. Many past mathematical models highlighted were aimed at minimizing the service delays experienced by passengers during service disruptions. Integer programming (IP) and mixed-integer programming (MIP) mode...

In hybrid solvers for combinatorial optimization, combining Constraint (Logic) Programming (CLP) and Mixed Integer Programming (MIP), it is important to have tight connections between the two domains. We extend and generalize previous work on automatic linearizations and propagation of symbolic CLP constraints that cross the boundary between CLP and MIP. We also present how reduced costs from t...

This study addresses a stochastic structure for generation companies (GenCoʼs) that participate in hydro-thermal self-scheduling with a wind power plant on short-term scheduling for simultaneous reserve energy and energy market. In stochastic scheduling of HTSS with a wind power plant, in addition to various types of uncertainties such as energy price, spinning /non-spinning reserve prices, unc...

Mixed-integer programming (MIP) technology offers a generic way of formulating and solving combinatorial optimization problems. While generally reliable, state-of-the-art MIP solvers base many crucial decisions on hand-crafted heuristics, largely ignoring common patterns within given instance distribution the problem interest. Here, we propose MIP-GNN, general framework for enhancing such with ...

This paper aims at linking the work presented in Dauzère-Pérès et al. (1998) and more recently Kasapidis (2021) on multiresource flexible job-shop scheduling problem with nonlinear routes or equivalently arbitrary precedence graphs. In particular, we present a mixed integer linear programming (MIP) model constraint (CP) to formulate problem. We also compare theorems introduced propose new theor...

The fixed-charge Capacitated Multi-commodity Network Design (CMND) is a well-known problem of both practical and theoretical significance. Network design models represent a wide variety of planning and operation management issues in transportation telecommunication, logistics, production and distribution. In this paper, Ant Colony Optimization (ACO) based neighborhoods are proposed for CMND pro...

In this paper we provide a computation algorithm to get global solution for the maximum rank correlation estimator using mixed integer programming (MIP) approach. We construct new constrained optimization problem by transforming all indicator functions into binary parameters be estimated and show that it is equivalent original problem. also consider an application of best subset prediction can ...

BACKGROUND AND PURPOSE Patients received by radiotherapy departments are diverse and may be diagnosed with different cancers. Therefore, they need different radiotherapy treatment plans and thus have different needs for medical resources. This research aims to explore the best method of scheduling the admission of patients receiving radiotherapy so as to reduce patient loss and maximize the usa...

Abstract The paper considers the assignment of items to groups according their attribute values such that are as balanced possible. Although problem is in general NP -hard, we prove it can be solved pseudo-polynomial time if integer. We point out a relation partition and more multi-way number partitioning. Furthermore, introduce mixed-integer programming (MIP) formulation, variable reduction te...