Add to ORKGIn this contribution we apply different approaches to solve four rather different MINLP problems: special extensions to time-indexed for-mulations of production planning problems, a production planning problem in BASF’s petrochemical division, a site analysis of one o
Abstract. This paper has as a major objective to present a unified overview and derivation of mixed-...
This work presents a review of the applications of mixed-integer nonlinear programming (MINLP) in pr...
AbstractWe provide formulation techniques for obtaining sharp (i.e., convex hull) mixed integer prog...
Abstract. Many optimization problems involve integer and continuous variables that can be modeled as...
roper organization, planning and design of production, storage locations, transportation and schedul...
Many optimization problems involve integer and continuous variables that can be modeled as mixed in...
Mathematical models for optimal decisions often require both nonlinear and discrete components. Thes...
This textbook provides a comprehensive modeling, reformulation and optimization approach for solving...
Proper organization, planning and design of production, storage locations, transportation and schedu...
With widespread use of mixed-integer modeling for continuous and discontinuous nonlinear chemical pr...
We consider a production planning problem where the production process creates a mixture of desirabl...
Abstract: "The development of new mixed-integer nonlinear programming (MINLP) algorithms, coupled wi...
With diversified requirements and varying manufacturing environments, the optimal production plannin...
In this paper we consider problems which stem from production planning processes in the chemical ind...
The mathematical modeling of systems often requires the use of both nonlinear and discrete component...
Abstract. This paper has as a major objective to present a unified overview and derivation of mixed-...
This work presents a review of the applications of mixed-integer nonlinear programming (MINLP) in pr...
AbstractWe provide formulation techniques for obtaining sharp (i.e., convex hull) mixed integer prog...
Abstract. Many optimization problems involve integer and continuous variables that can be modeled as...
roper organization, planning and design of production, storage locations, transportation and schedul...
Many optimization problems involve integer and continuous variables that can be modeled as mixed in...
Mathematical models for optimal decisions often require both nonlinear and discrete components. Thes...
This textbook provides a comprehensive modeling, reformulation and optimization approach for solving...
Proper organization, planning and design of production, storage locations, transportation and schedu...
With widespread use of mixed-integer modeling for continuous and discontinuous nonlinear chemical pr...
We consider a production planning problem where the production process creates a mixture of desirabl...
Abstract: "The development of new mixed-integer nonlinear programming (MINLP) algorithms, coupled wi...
With diversified requirements and varying manufacturing environments, the optimal production plannin...
In this paper we consider problems which stem from production planning processes in the chemical ind...
The mathematical modeling of systems often requires the use of both nonlinear and discrete component...
Abstract. This paper has as a major objective to present a unified overview and derivation of mixed-...
This work presents a review of the applications of mixed-integer nonlinear programming (MINLP) in pr...
AbstractWe provide formulation techniques for obtaining sharp (i.e., convex hull) mixed integer prog...