Relevant Publications

Dimensionality reduction for production optimization using polynomial approximations

Computational Geosciences 2017

B. Beykal Christodoulos A Floudas E. Gildin Fani Boukouvala N. Sorek

The objective of this paper is to introduce a novel paradigm to reduce the computational effort in waterflooding global optimization problems while realizing smooth well control trajectories amenable for practical deployments in the field. In order to overcome the problems…

ARGONAUT: AlgoRithms for Global Optimization of coNstrAined grey-box compUTational problems

Optimization Letters 2016

Christodoulos A Floudas Fani Boukouvala

The algorithmic framework ARGONAUT is presented for the global optimization of general constrained grey-box problems. ARGONAUT incorporates variable selection, bounds tightening and constrained sampling techniques, in order to develop accurate surrogate representations of unknown equations, which are globally optimized. ARGONAUT…

Global Optimization Advances in Mixed-Integer Nonlinear Programming, MINLP, and Constrained Derivative-Free Optimization, CDFO

European Journal of Operational Research 2015

Christodoulos A Floudas Fani Boukouvala Ruth Misener

This manuscript reviews recent advances in deterministic global optimization for Mixed-Integer Nonlinear Programming (MINLP), as well as Constrained Derivative-Free Optimization (CDFO). This work provides a comprehensive and detailed literature review in terms of significant theoretical contributions, algorithmic developments, software implementations…

Derivative-free optimization for expensive constrained problems using a novel expected improvement objective function

AIChE Journal 2014

Fani Boukouvala M.G. Ierapetritou

In this work, an algorithm for the optimization of costly constrained systems is introduced. The proposed method combines advantages of global- and local-search algorithms with new concepts of feasibility space mapping, within a framework that aims to find global solutions…

Surrogate-based optimization of expensive flowsheet models for continuous pharmaceutical manufacturing

Journal of Pharmaceutical Information 2013

F. Boukouvala F.J. Muzzio M.G. Ierapetritou

Simulation-based optimization is a research area that is currently attracting a lot of attention in many industrial applications, where expensive simulators are used to approximate, design, and optimize real systems. Pharmaceuticals are typical examples of high-cost products which involve expensive…

Relevant Presentations

Data-Centric Optimization: Methods and Applications

2015 AIChE Annual Meeting in Exhibit Hall 1 (Salt Palace Convention Center)

November 08, 2015

F. Boukouvala

As an engineering community we have been working towards developing detailed mathematical simulation models which accurately capture the behavior of complex systems. This trend is reinforced by our drive to couple multiscale information which ranges from the atomistic and molecular…

Constrained Grey-Box Global Optimization of High Dimensional Problems

2015 AIChE Annual Conference in Salon F (Salt Lake Marriott Downtown at City Creek)

November 11, 2015 at 12.55

C.A. Floudas F. Boukouvala

The use of deterministic global optimization methods based on analytical C2 functions is prohibitive in a large portion of engineering applications which have one or multiple of the following characteristics: (a) high computational cost which implies that the calculation of derivatives…

Global Optimization of Constrained Grey-Box Computational Problems

World Congress on Global Optimization 2015 in Gainesville, Florida

February 24, 2015

C.A. Floudas F. Boukouvala

Grey-box global optimization refers to problems for which derivatives of the objective function and/or constraints of the original model are not directly employed for obtaining the global optimum. In typical applications of grey-box optimization, derivative information is either: (1) available…

Argonaut: Algorithms for Global Optimization of Constrained Grey-Box Computational Problems

2014 AIChE Annual Meeting in Atlanta

November 19, 2014

F. Boukouvala C.A. Floudas

Constrained grey-box optimization methods do not employ derivative information of the objective function and/or constraints of the original model for obtaining the global optimum. In typical applications of the above methods, derivative information may be available but deceptive or prohibitively…

Optimization of CO2 Capture, Utilization and Sequestration (CCUS) Supply Chain Networks

2013 AIChE Annual Meeting in San Fransisco

November 08, 2013

M.M.F. Hasan F. Boukouvala C.A. Floudas

CO2 capture, utilization and storage (CCUS) is an enabling technology toward reducing CO2 emissions from stationary sources which include power plants, cement production plants, iron and steel plants, refineries, petrochemicals and gas processing plants. More than 60% of the total…

Global Optimization of Grey-Box Constrained Models

2013 AIChE Annual Meeting in San Fransisco

November 05, 2013

F. Boukouvala M.M.F. Hasan C.A. Floudas

Grey-box optimization methods have a wide range of applicability in various fields which rely on expensive simulations or solely input-output data [1]. Consequently, there has been great interest in the development of methods for the optimization of models for which…

Copyright © 2015 Fani Boukouvala