Aldo Vecchietti, Ignacio E. Grossmann
The objectives of this paper are to give a brief overview of the code LogMIP and to report numerical experience on a set of test problems. LOGMIP is currently the only code for disjunctive...
An Efficient MILP Model for the Short-Term Scheduling of Single Stage Batch Plants (2008)
Pedro M. Castro, Ignacio E. Grossmann
This paper presents a multiple time grid continuous time MILP model for the short-term scheduling of single stage, multiproduct batch plants where the objective is the minimization of total cost or...
Abstract. Optimization as an enabling technology has been one of the big success stories in process systems engineering. In this paper we present a review on recent research work in the area of...
AN ALGORITHM FOR THE USE OF SURROGATE MODELS IN MODULAR FLOWSHEET OPTIMIZATION. Abstract (2008)
José A. Caballero, Ignacio E. Grossmann
In this work a methodology is presented for the rigorous optimization of nonlinear programming problems in which the objective function and (or) some constraints are represented by noisy implicit...
Aldo Vecchietti, Ignacio E. Grossmann
The objectives of this paper are to give a brief overview of the code LogMIP and to report numerical experience on a set of test problems. LOGMIP is currently the only code for disjunctive...
Vikas Goel, Ignacio E. Grossmann
We address a class of planning problems where the optimization decisions influence the time of information discovery for a subset of the uncertain parameters. The standard stochastic programming...
Bora Tarhan, Ignacio E. Grossmann
This paper is dedicated to Professor Reklaitis for his leadership in the area of Process Systems Engineering. In this paper we consider the synthesis of process networks with time-varying uncertain...
Christos T. Maravelias, Ignacio E. Grossmann
Abstract: A new continuous-time MILP model for the short term scheduling of multipurpose batch plants with due dates is presented. The proposed model is a general State Task Network (STN) formulation...
Ignacio E. Grossmann, Lorenz T. Biegler
Following from Part I, which presents a retrospective on optimization, we focus here on areas that are recent active research topics and are likely to strongly influence the future of optimization...
25 th Year Issue on Computers and Chemical Engineering Retrospective on Optimization (2007)
Lorenz T. Biegler, Ignacio E. Grossmann
In this paper we provide a general classification of mathematical optimization problems, followed by a matrix of applications that shows the areas in which these problems have been typically applied...
A multiperiod MINLP model for offshore oilfield infrastructure planning is presented where nonlinear reservoir behavior is incorporated directly into the formulation. Discrete decisions include the...
Sangbum Lee, Ignacio E. Grossmann
This paper presents a review of advances in the mathematical programming approach to discrete/continuous optimization problems. We first present a brief review of MILP and MINLP for the case when...
Christos T. Maravelias, Ignacio E. Grossmann
In highly regulated industries, such as agrochemical and pharmaceutical, new products have to pass a number of regulatory tests related to safety, efficacy, and environmental impact to gain FDA...
Hector Yeomans, Ignacio E. Grossmann
This paper describes a Generalized Disjunctive Programming (GDP) model for the synthesis of distillation sequences using rigorous design equations. The model is obtained systematically from the State...
Abstract DISJUNCTIVE MULTIPERIOD OPTIMIZATION MODELS FOR PROCESS NETWORKS (2007)
Multiperiod optimization models for design and planning in the chemical industry have received considerable attention in recent years. In this paper, we present a general multiperiod Mixed Integer...
Jennifer R. Jackson, Jeanna Hofmann, John Wassick, Ignacio E. Grossmann
In this paper we propose a multiperiod nonlinear programming (NLP) formulation that incorporates empirical process models for the optimal planning of a multi-plant production site. Using as a basis a...
Mariana Barttfeld, Pío A. Aguirre, Ignacio E. Grossmann
disjunctive programming, initialization. This paper examines alternative models for the economic optimization of multicomponent distillation columns. Different column representations are modeled...
Una revisión del estado del Arte en Optimización (2007)
Caballero, José A., Grossmann, Ignacio E.
En este artículo se hace una revisión de las técnicas de optimización más importantes: programación lineal y no lineal con y sin variables discretas, así como de los algoritmos disponibles...
In this work we present a global optimization algorithm for solving a class of large-scale nonconvex optimization models that have a decomposable structure. Such models are frequently encountered in...
José A. Caballero, Andrew Odjo, Ignacio E. Grossmann
In this paper we address the synthesis and design of chemical processes using Chemical Modular Process Simulators – that include state of the art models- including discontinuous cost and sizing...
A class of stochastic programs with decision dependent uncertainty (2005)
Vikas Goel, Ignacio E. Grossmann
The standard approach to formulating stochastic programs is based on the assumption that the stochastic process is independent of the optimization decisions. We address a class of problems where the...
Pierre Bonami, Lorenz T. Biegler, Andrew R. Conn, Gérard Cornuéjols, Ignacio E. Grossmann, Carl D. Laird, ...
algorithmic framework for convex mixed integer
STATE-OF-THE-ART REVIEW OF OPTIMIZATION METHODS FOR SHORT-TERM SCHEDULING OF BATCH PROCESSES (2005)
Carlos A. Méndez, Jaime Cerdá, Ignacio E. Grossmann, Iiro Harjunkoski Marcofahl
There has been significant progress in the area of short-term scheduling of batch processes, including the solution of industrial-sized problems, in the last 20 years. The main goal of this paper is...
A class of stochastic programs with decision dependent uncertainty (2004)
Goel, Vikas, Grossmann, Ignacio E.
The standard approach to formulating stochastic programs is based on the assumption that the stochastic process is independent of the optimization decision. We address a class of problems where the...
A class of stochastic programs with decision dependent uncertainty (2004)
Goel, Vikas, Grossmann, Ignacio E.
The standard approach to formulating stochastic programs is based on the assumption that the stochastic process is independent of the optimization decision. We address a class of problems where the...
Christos T. Maravelias, Ignacio E. Grossmann
A hybrid Mixed-Integer Linear Programming (MILP)/Constraint Programming (CP) decomposition algorithm is proposed for the short-term scheduling of batch plants that rely on the State Task Network...
Superstructure Optimization of the Olefin Separation Process (2003)
Sangbum Lee, Jeffery S. Logsdon, Michael J. Foral, Ignacio E. Grossmann
Abstract: The olefin separation process involves handling a feed stream with a number of hydrocarbon components. The objective of this process is to separate each of these components at minimum cost....
Christos T. Maravelias, Ignacio E. Grossmann
A new continuous time MILP model for the short-term scheduling of multipurpose batch plants is presented. The proposed model relies on the State Task Network (STN) and addresses the general problem...
Christos T. Maravelias, Ignacio E. Grossmann
A new continuous time MILP model for the short-term scheduling of multipurpose batch plants is presented. The proposed model relies on the State Task Network (STN) and addresses the general problem...
DICOPT: A discrete continuous optimization package, http://www.gams.com/ ∼ erwin/dicopt.pdf (2003)
Ignacio E. Grossmann, Jagadisan Viswanathan, Aldo Vecchietti
Abstract. This paper first provides an overview of the financial state of the process industry, major issues it currently faces, and job placement of chemical engineers in the U.S. These facts...
Aldo Vecchietti, Sangbum Lee, Ignacio E. Grossmann
Abstract. This paper addresses the relaxations in alternative models for disjunctions, big-M and convex hull model, in order to develop guidelines and insights when formulating Mixed-Integer...
Discrete Optimization Methods and their Role in the Integration of Planning and Scheduling (2002)
Ignacio E. Grossmann, Iiro Harjunkoski
The need for improvement in process operations, logistics and supply chain management has created a great demand for the development of optimization models for planning and scheduling. In this paper...
Christos T. Maravelias, Ignacio E. Grossmann
A new continuous-time MILP model for the short-term scheduling of multipurpose batch plants is presented. The proposed model relies on the idea of the State Task Network (STN) and addresses the...
Discrete Optimization Methods and their Role in the Integration of Planning and Scheduling (2002)
Ignacio E. Grossmann, Iiro Harjunkoski
The need for improvement in process operations, logistics and supply chain management has created a great demand for the development of optimization models for planning and scheduling. In this paper...
High Level Optimization Model for the retrofit planning of process networks”,I&EC Research (2002)
Jennifer R. Jackson, Ignacio E. Grossmann
To Professor Jim Douglas for his leadership and contributions in the area of process synthesis. The retrofit design of a network of processes over several time periods is addressed in this paper. A...
Iiro Harjunkoski, Ignacio E. Grossmann
In this paper two strategies are presented to reduce the combinatorial complexity when solving single stage and multistage optimization scheduling problems that involve cost minimization and due...
Review of nonlinear mixed-integer and disjunctive programming techniques (2002)
This paper has as a major objective to present a unified overview and derivation of mixedinteger nonlinear programming (MINLP) techniques, Branch and Bound, Outer-Approximation, Generalized Benders...
Algorithms for hybrid MILP/CP models for a class of optimization problems (2001)
Vipul Jain, Ignacio E. Grossmann
The goal of this paper is to develop models and methods that use complementary strengths of Mixed Integer Linear Programming (MILP) and Constraint Programming (CP) techniques to solve problems that...
Sangbum Lee, Ignacio E. Grossmann
A global optimization algorithm for nonconvex Generalized Disjunctive Programming (GDP) problems is proposed in this paper. By making use of convex underestimating functions for bilinear, linear...
Generalized convex disjunctive programming: Nonlinear convex hull relaxation (2001)
Ignacio E. Grossmann, Sangbum Lee
Generalized Disjunctive Programming (GDP) has been introduced recently as an alternative to mixed-integer programming for represent-ing discrete/continuous optimization problems. The basic idea of...
A decomposition approach for the scheduling of a steel plant production (2001)
Iiro Harjunkoski, Ignacio E. Grossmann
In this paper we present a decomposition strategy for solving large scheduling problems using mathematical programming methods. Instead of formulating one huge and unsolvable MILP problem, we propose...
Algorithms for hybrid MILP/CP models for a class of optimization problems (2001)
Vipul Jain, Ignacio E. Grossmann
vipul.jaincmu. edu grossmanncmu. edu The goal of this paper is to develop models and methods that use comple-mentary strengths of Mixed Integer Linear Programming (MILP) and Constraint Programming...
Algorithms for hybrid MILP/CP models for a class of optimization problems (2001)
Vipul Jain, Ignacio E. Grossmann
The goal of this paper is to develop models and methods that use complementary strengths of Mixed Integer Linear Programming (MILP) and Constraint Programming (CP) techniques to solve problems that...
New algorithms for nonlinear generalized disjunctive programming (2000)
Sangbum Lee, Ignacio E. Grossmann
Generalized Disjunctive Programming (GDP) has been introduced recently as an alternative model to MINLP for representing discrete/continuous optimization problems. The basic idea of GDP consists of...
Research Challenges in Process Systems Engineering (2000)
Ignacio E. Grossmann, Arthur W. Westerberg
Companies must design and operate chemical processes effectively and efficiently so they may survive in today’s highly competitive world. Providing the methods, tools and people that allow industry...
Ignacio E. Grossmann, Jose Antonio Caballero, Hector Yeomans
This paper presents a review of advances that have taken place in the mathematical programming approach to process design and synthesis. A review is first presented on the algorithms that are...
Systematic Methods of Chemical Process Design (1997)
Biegler, Lorenz T., Grossmann, Ignacio E., Westerberg, Arthur W.
Systematic Methods of Chemical Process Design (1997)
Biegler, Lorenz T., Grossmann, Ignacio E., Westerberg, Arthur W.
0-13-492422-3
M.S.Krol:On a Galerkin-averaging method for weakly nonlinear wave equations (1989)
Ignacio E. Grossmann, Jagadisan Viswanathan, Aldo Vecchietti, Ramesh Raman, Erwin Kalvelagen
DICOPT is a program for solving mixed-integer nonlinear programming (MINLP) problems that involve linear binary or integer variables and linear and nonlinear continuous variables. While the modeling...
M.S.Krol:On a Galerkin-averaging method for weakly nonlinear wave equations (1989)
Ignacio E. Grossmann, Jagadisan Viswanathan, Aldo Vecchietti, Ramesh Raman, Erwin Kalvelagen
DICOPT is a program for solving mixed-integer nonlinear programming (MINLP) problems that involve linear binary or integer variables and linear and nonlinear continuous variables. While the modeling...