J
Jose A. Egea
Researcher at Spanish National Research Council
Publications - 139
Citations - 4965
Jose A. Egea is an academic researcher from Spanish National Research Council. The author has contributed to research in topics: Prunus armeniaca & Metaheuristic. The author has an hindex of 35, co-authored 127 publications receiving 4418 citations. Previous affiliations of Jose A. Egea include University of Cartagena & Universidad Politécnica de Cartagena.
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Novel metaheuristic for parameter estimation in nonlinear dynamic biological systems
TL;DR: A novel metaheuristic, inspired by recent developments in the field of operations research, was applied to a set of three challenging parameter estimation problems of nonlinear dynamic biological systems, outperforming very significantly all the methods previously used for these benchmark problems.
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Chilling and heat requirements of almond cultivars for flowering
TL;DR: The apricot cultivars showed important differences concerning flowering date, and the results indicate a high positive correlation between chilling requirements and floweringdate, as well as a negative correlation between chill requirements for breaking of dormancy and heat requirements for flowering.
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Extended ant colony optimization for non-convex mixed integer nonlinear programming
TL;DR: Two novel extensions for the well known ant colony optimization (ACO) framework are introduced here, which allow the solution of mixed integer nonlinear programs (MINLPs) and a hybrid implementation based on this extended ACO framework, specially developed for complex non-convex MINLPs is presented.
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Phenotypic diversity and relationships of fruit quality traits in apricot (Prunus armeniaca L.) germplasm
David Ruiz,Jose A. Egea +1 more
TL;DR: Year-by-year variations were observed for some pomological traits such as harvest date, flesh colour, fruit weight, firmness and soluble solids content and a high correlation was found among some apricot quality attributes.
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Carotenoids from new apricot (Prunus armeniaca L.) varieties and their relationship with flesh and skin color.
TL;DR: The carotenoid content was correlated with the color measurements, and the hue angle in both flesh and peel was the parameter with the best correlation that could be achieved by using a portable colorimeter, as a simple and easy method for field usage applications.