This manuscript reviews recent advances in deterministic global optimization for Mixed-
Integer Nonlinear Programming (MINLP), as well as Constrained Derivative-Free …

This paper reviews the literature on algorithms for solving bound-constrained mixed-integer
derivative-free optimization problems and presents a systematic comparison of available …

The initial selection and development of suppliers is a critical and increasingly complex
component of organizational supply chains. In recent years sustainability issues have …

This paper formulates one-way station-based carsharing systems as a mixed queuing
network model and proposes a profit-maximization model for the joint design of fleet size …

The mesh adaptive direct search (Mads) algorithm is designed for blackbox optimization
problems for which the functions defining the objective and the constraints are typically the …

In this paper we consider the problem of planning the production and distribution in a supply
chain. The situation consists in a set of distribution centers seeking to serve to a set of …

ABSTRACT his paper introduces a dynamic pickup and delivery problem with time windows,
heterogeneous fleet vehicles, no depot, and dynamic priority (DPDP-TWHVNDDP) in the …

Methods which do not use any derivative information are becoming popular among
researchers, since they allow to solve many real-world engineering problems. Such …

Urban rail transit often has high sensitivity against random disruptions. Hence regularity of
the rail services should be maintained to prevent adverse impacts. This study focused on an …

Hospitals have been challenged in recent years to deliver high quality care with limited
resources. Given the pressure to contain costs, develo** procedures for optimal resource …