J
Javier Sanchis
Researcher at Polytechnic University of Valencia
Publications - 91
Citations - 1964
Javier Sanchis is an academic researcher from Polytechnic University of Valencia. The author has contributed to research in topics: Multi-objective optimization & Model predictive control. The author has an hindex of 23, co-authored 88 publications receiving 1767 citations.
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A new graphical visualization of n-dimensional Pareto front for decision-making in multiobjective optimization
TL;DR: A new graphical representation, called Level Diagrams, for n-dimensional Pareto front analysis is proposed, which consists of representing each objective and design parameter on separate diagrams and can be coloured in order to introduce designer preferences.
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Model-based predictive control of greenhouse climate for reducing energy and water consumption
TL;DR: In this paper, an alternative to classical climate control is proposed based on an accurate non-linear model and a model-based predictive control (MBPC) that incorporates energy and water consumption.
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Controller tuning using evolutionary multi-objective optimisation: Current trends and applications
TL;DR: In this paper, a design procedure based on evolutionary multi-objective optimisation (EMO) is presented and significant applications on controller tuning are discussed, but these statements are not commonly used in controller tuning.
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A new perspective on multiobjective optimization by enhanced normalized normal constraint method
TL;DR: In this paper, a new utopia hyperplane is proposed to improve the original normalized normal constraint method using two approaches: a redefinition of the anchor points and an exact linear transformation between the design objectives space and the normalized space.
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Controller Tuning by Means of Multi-Objective Optimization Algorithms: A Global Tuning Framework
TL;DR: A holistic multi-objective optimization design technique for controller tuning that gives control engineers greater flexibility to select a controller that matches their specifications and enables an analysis of whether a preference for a certain control technique is justified.