Computers & Chemical Engineering 2018

B. Beykal F. Boukouvala C.A. Floudas E.N. Pistikopoulos

The (global) optimization of energy systems, commonly characterized by high-fidelity and large-scale complex models, poses a formidable challenge partially due to the high noise and/or computational expense associated with the calculation of derivatives. This complexity is further amplified in the…

Computer Aided Chemical Engineering 2018

F. Boukouvala J. Zhai SH Kim

Data-analytics is becoming a very influential tool for decision-making today both in industry and academia. The incorporation of data-driven concepts in the core chemical engineering curriculum would be very beneficial to our graduates, making them competitive in today’s market. The…

Comprehensive Quality by Design for Pharmaceutical Product Development and Manufacture 2018

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

The need for a more structured approach to process development has been recently identified in the pharmaceutical industry in order to consistently guarantee quality and value to processes and products. The concept of design space (DS) is a key aspect…

Computational Geosciences 2017

B. Beykal C.A. Floudas F. Boukouvala E. Gildin 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…

Optimization Letters 2016

F. Boukouvala C.A. Floudas

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…