C
Carlos Camacho-Gómez
Researcher at University of Alcalá
Publications - 26
Citations - 430
Carlos Camacho-Gómez is an academic researcher from University of Alcalá. The author has contributed to research in topics: Population & Optimization problem. The author has an hindex of 8, co-authored 24 publications receiving 275 citations. Previous affiliations of Carlos Camacho-Gómez include Technical University of Madrid.
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Journal ArticleDOI
An efficient neuro-evolutionary hybrid modelling mechanism for the estimation of daily global solar radiation in the Sunshine State of Australia
TL;DR: The study ascertains that the CRO-based hybrid system where a large pool of predictor data are carefully screened through a wrapper-based modelling system and the ELM model is applied as a objective estimation tool can be adopted as a qualified stratagem in solar radiation estimation problems.
Proceedings ArticleDOI
A coral reefs optimization algorithm with substrate layers and local search for large scale global optimization
TL;DR: This paper proposes to extend the original CRO with different substrate layers, where several exploration operators are defined, which allows establishing a competitive co-evolution process within the CRO, which improves the search for optimal solution in large scale optimization problems.
Journal ArticleDOI
A novel Coral Reefs Optimization algorithm with substrate layers for optimal battery scheduling optimization in micro-grids
Sancho Salcedo-Sanz,Carlos Camacho-Gómez,R. Mallol-Poyato,Silvia Jiménez-Fernández,J. Del Ser +4 more
TL;DR: The good performance of the proposed CRO-SL is shown, where the effect of the battery scheduling optimization obtains savings up 10 % of the total electricity cost in the MG, when compared with the deterministic procedure.
Journal ArticleDOI
Structures vibration control via Tuned Mass Dampers using a co-evolution Coral Reefs Optimization algorithm
Sancho Salcedo-Sanz,Carlos Camacho-Gómez,Alvaro Magdaleno,Emiliano Pereira,Antolín Lorenzana +4 more
TL;DR: The Coral Reefs Optimization with Substrate Layer is proposed as a competitive co-evolution algorithm with different exploration procedures within a single population of solutions to solve the TMD design and location problem, by exploiting the combination of different types of searching mechanisms.
Journal ArticleDOI
Active Vibration Control Design Using the Coral Reefs Optimization with Substrate Layer Algorithm
TL;DR: This work provides an important step to improve the applicability of AVC systems to real complex structures by achieving global optimum designs with affordable computation time by proposing an alternative approach based on a recently proposed meta-heuristic, the Coral Reefs Optimization (CRO) algorithm.