A. Portilla-Figueras

ORCID: 0000-0001-6569-6780
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About
Contact & Profiles
Research Areas
  • Metaheuristic Optimization Algorithms Research
  • Wireless Communication Networks Research
  • Advanced Wireless Network Optimization
  • Advanced MIMO Systems Optimization
  • Evolutionary Algorithms and Applications
  • Advanced Multi-Objective Optimization Algorithms
  • Wind Energy Research and Development
  • Energy Load and Power Forecasting
  • Neural Networks and Applications
  • Vehicle Routing Optimization Methods
  • Wireless Networks and Protocols
  • Satellite Communication Systems
  • Air Quality Monitoring and Forecasting
  • Mobile Ad Hoc Networks
  • Wind and Air Flow Studies
  • ICT Impact and Policies
  • Scheduling and Timetabling Solutions
  • Vehicle emissions and performance
  • Optimization and Search Problems
  • Machine Learning and ELM
  • Optimization and Packing Problems
  • Auction Theory and Applications
  • Microwave Engineering and Waveguides
  • Artificial Intelligence in Games
  • Advanced Clustering Algorithms Research

Universidad de Alcalá
2012-2023

Universidad de Valladolid
2014

Universidad Complutense de Madrid
2008-2010

University of Sheffield
2010

University of Rome Tor Vergata
2008

This paper presents a novel bioinspired algorithm to tackle complex optimization problems: the coral reefs (CRO) algorithm. The CRO artificially simulates reef, where different corals (namely, solutions problem considered) grow and reproduce in colonies, fighting by choking out other for space reef. fight space, along with specific characteristics of corals' reproduction, produces robust metaheuristic shown be powerful solving hard problems. In this research is tested several continuous...

10.1155/2014/739768 article EN cc-by The Scientific World JOURNAL 2014-01-01

Abstract Wind speed prediction is a key point in the management of wind farms because it directly related to power produced by each farm's turbines. usually one most important tasks farming, and companies that manage these invest large amounts money improve their systems. In this paper, we propose an improvement existing system, using banks regression Support Vector Machines (SVMr) for final step system. Several novel SVMr structures are proposed paper diversity input data arising from use...

10.1002/we.411 article EN Wind Energy 2010-06-08
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