Eric S. Fraga

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The aim of this article is to illustrate and evaluate a synthesis procedure which has been extended to tackle bioprocesses. Physical property information is used to screen candidate units thereby reducing the size of the synthesis problem. In this way, only units which exploit large property differences between components in a stream are selected. This is(More)
In this paper, an optimization-based approach is proposed using a mixed integer quadratic programming model for the economic dispatch of electrical power generators with prohibited zones of operation. The main advantage of the proposed approach is its capability to solve case studies from the literature to global optimality quickly and without any targeting(More)
The business environment facing the ECPI (European Chemical & Process Industry) is changing at an ever-increasing rate, bringing with it new challenges to process engineers which the current generation of CAPE tools are illequipped to help them address. This paper puts forward a view of some of the challenges and offers some thoughts on a potential way(More)
Nature-inspired algorithms are proving to be very successful on complex optimisation problems. A new algorithm, inspired by the way plants, and in particular the strawberry plant, propagate is presented. The algorithm is explained, tested on standard test functions, and compared with the well known Nelder-Mead algorithm. The new approach is then applied to(More)
Process optimisation is often a multi-criteria problem. Combined with the use of nonlinear models, generating a Pareto front can be difficult to achieve reliably. This paper describes the use of high-dimensional data analysis and visualisation techniques as the basis for a multi-step procedure for generating a Pareto front for a two criteria problem. A case(More)