This paper presents an overview of mixed-integer nonlinear programming techniques by first
providing a unified treatment of the Branch and Bound, Outer-Approximation, Generalized …

This paper presents an overview of mixed-integer nonlinear programming techniques by first
providing a unified treatment of the Branch and Bound, Outer-Approximation, Generalized …

This paper has as a major objective to present a unified overview and derivation of mixed-
integer nonlinear programming (MINLP) techniques, Branch and Bound, Outer …

The use of networks allows the representation of a variety of important engineering
problems. The treatment of a particular class of network applications, the process synthesis …

This paper addresses two major issues related to the convergence of generalized Benders
decomposition which is an algorithm for the solution of mixed integer linear and nonlinear …

The branch and bound principle has been established as an effective computational tool for
solving linear integer programming problems. In the present dissertation the feasibility of …

Many optimization problems involve integer or discrete variables and can be modelled as
Mixed Integer Nonlinear Programming problems (MINLPs). These variables can variously …

Filling a void in chemical engineering and optimization literature, this book presents the
theory and methods for nonlinear and mixed-integer optimization, and their applications in …

Branch and bound (BB) is the primary deterministic approach that has been applied
successfully to solve mixed-integer nonlinear programming (MINLPs) problems in which the …

Branch and bound has been widely recognized as an effective method in solving linear
integer programming problems. This paper presents a study on the feasibility of the branch …