Fog computing aims at extending the cloud towards the Internet of things so to achieve
improved quality of service and to empower latency‐sensitive and bandwidth‐hungry …

The importance of integer programming stems from the fact that it can be used to model a
vast array of problems arising from the most disparate areas, ranging from practical ones …

One of the most effective methods for nonlinearly constrained optimization generates steps
by solving quadratic subproblems. This sequential quadratic programming (SQP) approach …

This is a book for people interested in solving optimization problems. Because of the wide
(and growing) use of optimization in science, engineering, economics, and industry, it is …

Constraint programming is a powerful paradigm for solving combinatorial search problems
that draws on a wide range of techniques from artificial intelligence, computer science …

This paper describes K nitro 5.0, a C-package for nonlinear optimization that combines
complementary approaches to nonlinear optimization to achieve robust performance over a …

This textbook provides a comprehensive modeling, reformulation and optimization approach
for solving production planning and related supply chain planning problems, covering topics …

It is expected that electric vehicles (EVs) will soon represent a large share of the demand for
electricity. Several research works have extolled the advantages of these devices as flexible …

This thesis introduces the novel paradigm of" constraint integer programming"(CIP), which
integrates constraint programming (CP) and mixed integer programming (MIP) modeling …

Interior-point methods (IPMs) are among the most efficient methods for solving linear, and
also wide classes of other convex optimization problems. Since the path-breaking work of …