2017
Ramirez-Atencia, Cristian; Bello-Orgaz, Gema; R-Moreno, Maria D; Camacho, David
Solving complex multi-UAV mission planning problems using multi-objective genetic algorithms Journal Article
In: Soft Computing, vol. 21, iss. 17, pp. 4883-4900, 2017, ISSN: 1432-7643; 1433-7479.
Abstract | Links | BibTeX | Tags: Constraint Satisfaction Problems, Genetic Algorithms, Multi-objective Optimization, Planning, Unmanned Aircraft Systems
@article{Ramirez-Atencia2016c,
title = {Solving complex multi-UAV mission planning problems using multi-objective genetic algorithms},
author = {Cristian Ramirez-Atencia and Gema Bello-Orgaz and Maria D R-Moreno and David Camacho},
doi = {10.1007/s00500-016-2376-7},
issn = {1432-7643; 1433-7479},
year = {2017},
date = {2017-09-01},
urldate = {2016-01-01},
journal = {Soft Computing},
volume = {21},
issue = {17},
pages = {4883-4900},
publisher = {Springer Berlin Heidelberg},
abstract = {Due to recent booming of unmanned air vehicles (UAVs) technologies, these are being used in many fields involving complex tasks. Some of them involve a high risk to the vehicle driver, such as fire monitoring and rescue tasks, which make UAVs excellent for avoiding human risks. Mission planning for UAVs is the process of planning the locations and actions (loading/dropping a load, taking videos/pictures, acquiring information) for the vehicles, typically over a time period. These vehicles are controlled from ground control stations (GCSs) where human operators use rudimentary systems. This paper presents a new multi-objective genetic algorithm for solving complex mission planning problems involving a team of UAVs and a set of GCSs. A hybrid fitness function has been designed using a constraint satisfaction problem to check whether solutions are valid and Pareto-based measures to look for optimal solutions. The algorithm has been tested on several datasets, optimizing different variables of the mission, such as the makespan, the fuel consumption, and distance. Experimental results show that the new algorithm is able to obtain good solutions; however, as the problem becomes more complex, the optimal solutions also become harder to find.},
keywords = {Constraint Satisfaction Problems, Genetic Algorithms, Multi-objective Optimization, Planning, Unmanned Aircraft Systems},
pubstate = {published},
tppubtype = {article}
}
2016
Bello-Orgaz, Gema; Ramirez-Atencia, Cristian; Fradera-Gil, Jaime; Camacho, David
GAMPP: Genetic Algorithm for UAV Mission Planning Problems Book Section
In: Intelligent Distributed Computing IX, pp. 167–176, Springer International Publishing, 2016.
Abstract | Links | BibTeX | Tags: Genetic Algorithms, Planning, Unmanned Aircraft Systems
@incollection{bello2016gampp,
title = {GAMPP: Genetic Algorithm for UAV Mission Planning Problems},
author = {Gema Bello-Orgaz and Cristian Ramirez-Atencia and Jaime Fradera-Gil and David Camacho},
url = {https://aida.etsisi.upm.es/wp-content/uploads/2015/11/IDC15_BelloOrgazEtAl.pdf},
year = {2016},
date = {2016-01-01},
booktitle = {Intelligent Distributed Computing IX},
pages = {167--176},
publisher = {Springer International Publishing},
abstract = {Due to the rapid development of the UAVs capabilities, these are being incorporated into many fields to perform increasingly complex tasks. Some of these tasks are becoming very important because they involve a high risk to the vehicle driver, such as detecting forest fires or rescue tasks, while using UAVs avoids risking human lives. Recent researches on artificial intelligence techniques applied to these systems provide a new degree of high-level autonomy of them. Mission planning for teams of UAVs can be defined as the planning process of locations to visit (waypoints) and the vehicle actions to do (loading/dropping a load, taking videos/pictures, acquiring information), typically over a time period. Currently, UAVs are controlled remotely by human operators from ground control stations, or use rudimentary systems. This paper presents a new Genetic Algorithm for solving Mission Planning Problems (GAMPP) using a cooperative team of UAVs. The fitness function has been designed combining several measures to look for optimal solutions minimizing the fuel consumption and the mission time (or makespan). The algorithm has been experimentally tested through several missions where its complexity is incrementally modified to measure the scalability of the problem. Experimental results show that the new algorithm is able to obtain good solutions improving the runtime of a previous approach based on CSPs.},
keywords = {Genetic Algorithms, Planning, Unmanned Aircraft Systems},
pubstate = {published},
tppubtype = {incollection}
}
2015
Ramirez-Atencia, Cristian; Bello-Orgaz, Gema; R-Moreno, María D; Camacho, David
A Hybrid MOGA-CSP for Multi-UAV Mission Planning Proceedings Article
In: Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference, pp. 1205–1208, ACM 2015.
Links | BibTeX | Tags: Constraint Satisfaction Problems, Genetic Algorithms, Multi-objective Optimization, Planning, Unmanned Aircraft Systems
@inproceedings{ramirez2015hybrid,
title = {A Hybrid MOGA-CSP for Multi-UAV Mission Planning},
author = {Cristian Ramirez-Atencia and Gema Bello-Orgaz and María D R-Moreno and David Camacho},
url = {https://aida.etsisi.upm.es/wp-content/uploads/2015/09/ramirez-atenciaHybrid.pdf},
year = {2015},
date = {2015-01-01},
booktitle = {Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference},
pages = {1205--1208},
organization = {ACM},
keywords = {Constraint Satisfaction Problems, Genetic Algorithms, Multi-objective Optimization, Planning, Unmanned Aircraft Systems},
pubstate = {published},
tppubtype = {inproceedings}
}
2014
Ramirez-Atencia, Cristian; Bello-Orgaz, Gema; R-Moreno, Maria D; Camacho, David
Solving UAV Mission Planning based on Temporal Constaint Satisfaction Problem using Genetic Algorithms Proceedings Article
In: Doctoral Program Proceedings of The 20th International Conference on Principles and Practice of Constraint Programming (CP 2014), 2014.
Abstract | BibTeX | Tags: Constraint Satisfaction Problems, Genetic Algorithms, Planning, Unmanned Aircraft Systems
@inproceedings{ramirez2014solving,
title = {Solving UAV Mission Planning based on Temporal Constaint Satisfaction Problem using Genetic Algorithms},
author = {Cristian Ramirez-Atencia and Gema Bello-Orgaz and Maria D R-Moreno and David Camacho},
year = {2014},
date = {2014-09-12},
urldate = {2014-09-12},
booktitle = {Doctoral Program Proceedings of The 20th International Conference on Principles and Practice of Constraint Programming (CP 2014)},
abstract = {The problem of Mission Planning for a large number of Unmanned Air Vehicles (UAV) consists of a set of locations to visit in different time windows, and the actions that the vehicle can perform based on its features such as the payload, speed or fuel capacity. We study how this problem can be formulated as a Temporal Constraint Satisfaction Problem (TCSP). This problem contains several constraints assuring UAVs are assigned to tasks they have enough characteristics to perform, and soft-constraints for optimizing the time and fuel spent in the process. Our goal is to implement this model and then try to solve it using Genetic Algorithms (GAs). For this purpose, we will carry out a mission simulation containing m UAVs with different sensors and characteristics located in different waypoints, and n requested tasks varying mission priorities. The GA will match the model constraints and use a multi-objective function in order to minimize the cost.},
keywords = {Constraint Satisfaction Problems, Genetic Algorithms, Planning, Unmanned Aircraft Systems},
pubstate = {published},
tppubtype = {inproceedings}
}
Menendez, Hector D; Barrero, David F; Camacho, David
A Co-Evolutionary Multi-Objective approach for a K-adaptive graph-based clustering algorithm Proceedings Article
In: Evolutionary Computation (CEC), 2014 IEEE Congress on, pp. 2724–2731, IEEE 2014.
BibTeX | Tags: Clustering, Genetic Algorithms, Graph Theory, Multi-objective Optimization
@inproceedings{menendez2014co,
title = {A Co-Evolutionary Multi-Objective approach for a K-adaptive graph-based clustering algorithm},
author = {Hector D Menendez and David F Barrero and David Camacho},
year = {2014},
date = {2014-01-01},
urldate = {2014-01-01},
booktitle = {Evolutionary Computation (CEC), 2014 IEEE Congress on},
pages = {2724--2731},
organization = {IEEE},
keywords = {Clustering, Genetic Algorithms, Graph Theory, Multi-objective Optimization},
pubstate = {published},
tppubtype = {inproceedings}
}
Menéndez, Héctor D; Barrero, David F; Camacho, David
A Genetic Graph-based Approach for Partitional Clustering Journal Article
In: International journal of neural systems, vol. 24, no. 03, 2014.
BibTeX | Tags: Clustering, Genetic Algorithms, Graph Theory
@article{menendez2014genetic,
title = {A Genetic Graph-based Approach for Partitional Clustering},
author = {Héctor D Menéndez and David F Barrero and David Camacho},
year = {2014},
date = {2014-01-01},
journal = {International journal of neural systems},
volume = {24},
number = {03},
publisher = {World Scientific Publishing Company},
keywords = {Clustering, Genetic Algorithms, Graph Theory},
pubstate = {published},
tppubtype = {article}
}
Menendez, Hector D; Camacho, David
A Multi-Objective Graph-based Genetic Algorithm for Image Segmentation Proceedings Article
In: Innovations in Intelligent Systems and Applications (INISTA) Proceedings, 2014 IEEE International Symposium on, pp. 234–241, IEEE 2014.
BibTeX | Tags: Clustering, Genetic Algorithms, Graph Theory, Multi-objective Optimization
@inproceedings{menendez2014multi,
title = {A Multi-Objective Graph-based Genetic Algorithm for Image Segmentation},
author = {Hector D Menendez and David Camacho},
year = {2014},
date = {2014-01-01},
urldate = {2014-01-01},
booktitle = {Innovations in Intelligent Systems and Applications (INISTA) Proceedings, 2014 IEEE International Symposium on},
pages = {234--241},
organization = {IEEE},
keywords = {Clustering, Genetic Algorithms, Graph Theory, Multi-objective Optimization},
pubstate = {published},
tppubtype = {inproceedings}
}
Menéndez, Héctor D; Plaza, Laura; Camacho, David
Combining graph connectivity and genetic clustering to improve biomedical summarization Proceedings Article
In: Evolutionary Computation (CEC), 2014 IEEE Congress on, pp. 2740–2747, IEEE 2014.
BibTeX | Tags: Automatic Summarization, Clustering, Genetic Algorithms
@inproceedings{menendez2014combining,
title = {Combining graph connectivity and genetic clustering to improve biomedical summarization},
author = {Héctor D Menéndez and Laura Plaza and David Camacho},
year = {2014},
date = {2014-01-01},
booktitle = {Evolutionary Computation (CEC), 2014 IEEE Congress on},
pages = {2740--2747},
organization = {IEEE},
keywords = {Automatic Summarization, Clustering, Genetic Algorithms},
pubstate = {published},
tppubtype = {inproceedings}
}
Gonzalez-Pardo, Antonio; Camacho, David
Environmental influence in bio-inspired game level solver algorithms Conference
7th International Symposium on Intelligent Distributed Computing (IDC 2013)., vol. 511, Studies in Computational Intelligence Springer Berlin Heidelberg, 2014, ISBN: 978-3-319-01570-5.
BibTeX | Tags: Ant Colony Optimization, Computational Intelligence, Genetic Algorithms, Swarm Intelligence, Videogames
@conference{2013-IDC-GonzalezCamacho,
title = {Environmental influence in bio-inspired game level solver algorithms},
author = {Antonio Gonzalez-Pardo and David Camacho},
isbn = {978-3-319-01570-5},
year = {2014},
date = {2014-01-01},
urldate = {2014-01-01},
booktitle = {7th International Symposium on Intelligent Distributed Computing (IDC 2013).},
volume = {511},
pages = {157 -- 162},
publisher = {Springer Berlin Heidelberg},
series = {Studies in Computational Intelligence},
keywords = {Ant Colony Optimization, Computational Intelligence, Genetic Algorithms, Swarm Intelligence, Videogames},
pubstate = {published},
tppubtype = {conference}
}
Bello-Orgaz, Gema; Camacho, David
Evolutionary clustering algorithm for community detection using graph-based information Proceedings Article
In: Evolutionary Computation (CEC), 2014 IEEE Congress on, pp. 930–937, IEEE 2014.
Links | BibTeX | Tags: Clustering, Community Detection, Genetic Algorithms, Graph Theory
@inproceedings{bello2014evolutionary,
title = {Evolutionary clustering algorithm for community detection using graph-based information},
author = {Gema Bello-Orgaz and David Camacho},
url = {https://aida.etsisi.upm.es/wp-content/uploads/2014/12/CEC14_BelloOrgaz-Camacho.pdf},
year = {2014},
date = {2014-01-01},
booktitle = {Evolutionary Computation (CEC), 2014 IEEE Congress on},
pages = {930--937},
organization = {IEEE},
keywords = {Clustering, Community Detection, Genetic Algorithms, Graph Theory},
pubstate = {published},
tppubtype = {inproceedings}
}
2013
Bello-Orgaz, Gema; Barrero, David F; R-Moreno, Maria D; Camacho, David
Acquisition of Business Intelligence from Human Experience in Route Planning Journal Article
In: Enterprise Information Systems, no. Impact Factor: 9.26-Q1, 2013, ISSN: 1751-7575.
Links | BibTeX | Tags: Business Intelligence, Data Mining, Genetic Algorithms, Graph Theory
@article{Bello-Orgaz:2012:EIS,
title = {Acquisition of Business Intelligence from Human Experience in Route Planning},
author = {Gema Bello-Orgaz and David F Barrero and Maria D R-Moreno and David Camacho},
url = {https://aida.etsisi.upm.es/wp-content/uploads/2012/12/eis.pdf},
issn = {1751-7575},
year = {2013},
date = {2013-06-22},
urldate = {2013-06-22},
journal = {Enterprise Information Systems},
number = {Impact Factor: 9.26-Q1},
publisher = {Taylor & Francis},
keywords = {Business Intelligence, Data Mining, Genetic Algorithms, Graph Theory},
pubstate = {published},
tppubtype = {article}
}
Barrero, David F; Menéndez, Héctor D; Camacho, David
A Multi-Objective Genetic Graph-based Clustering Algorithm with Memory Optimization Conference
IEEE Congress on Evolutionary Computation (CEC 2013), 2013.
Links | BibTeX | Tags: Clustering, Genetic Algorithms, Graph Theory, Multi-objective Optimization
@conference{Hector-2013-CEC,
title = {A Multi-Objective Genetic Graph-based Clustering Algorithm with Memory Optimization},
author = {David F Barrero and Héctor D Menéndez and David Camacho},
url = {https://atc1.aut.uah.es/~david/cec2013/Menendez2013CEC.pdf},
year = {2013},
date = {2013-06-20},
urldate = {2013-06-20},
booktitle = {IEEE Congress on Evolutionary Computation (CEC 2013)},
keywords = {Clustering, Genetic Algorithms, Graph Theory, Multi-objective Optimization},
pubstate = {published},
tppubtype = {conference}
}
Plaza, Laura; Menéndez, Héctor D; Camacho, David
A Genetic Graph-based Clustering approach to Biomedical Summarization Conference
Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics, no. 10, WIMS '13 ACM Press, Madrid, Spain, 2013, ISBN: 978-1-4503-1850-1/13/06.
Links | BibTeX | Tags: Automatic Summarization, Clustering, Genetic Algorithms, Natural Language Processing
@conference{Menendez:2013:WIMS,
title = {A Genetic Graph-based Clustering approach to Biomedical Summarization},
author = {Laura Plaza and Héctor D Menéndez and David Camacho},
url = {http://dx.doi.org/10.1145/2479787.2479807},
isbn = {978-1-4503-1850-1/13/06},
year = {2013},
date = {2013-06-12},
urldate = {2013-06-12},
booktitle = {Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics},
number = {10},
pages = {8},
publisher = {ACM Press},
address = {Madrid, Spain},
series = {WIMS '13},
keywords = {Automatic Summarization, Clustering, Genetic Algorithms, Natural Language Processing},
pubstate = {published},
tppubtype = {conference}
}
Gonzalez-Pardo, Antonio; Camacho, David
Environmental influence in bio-inspired game level solver algorithms Conference
Proceedings of the 7th International Symposium on Intelligent Distributed Computing - IDC 2013, Studies in Computational Intelligence Springer Berlin Heidelberg, 2013.
BibTeX | Tags: Ant Colony Optimization, Computational Intelligence, Genetic Algorithms, Multi-agents systems, Swarm Intelligence, Videogames
@conference{2013-GonzalezCamacho-IDC,
title = {Environmental influence in bio-inspired game level solver algorithms},
author = {Antonio Gonzalez-Pardo and David Camacho},
year = {2013},
date = {2013-04-21},
urldate = {2013-04-21},
booktitle = {Proceedings of the 7th International Symposium on Intelligent Distributed Computing - IDC 2013},
pages = {In press},
publisher = {Springer Berlin Heidelberg},
series = {Studies in Computational Intelligence},
keywords = {Ant Colony Optimization, Computational Intelligence, Genetic Algorithms, Multi-agents systems, Swarm Intelligence, Videogames},
pubstate = {published},
tppubtype = {conference}
}
2012
Gonzalez-Pardo, Antonio; Camacho, David
Maximal Component detection in graphs using swarm-based and genetic algorithms Conference
Proceedings of the 6th International Symposium on Intelligent Distributed Computing - IDC 2012, vol. 446, Studies in Computational Intelligence Springer Berlin Heidelberg, 2012, ISBN: 978-3-642-32523-6.
Links | BibTeX | Tags: Ant Colony Optimization, Computational Intelligence, Genetic Algorithms, Graph Theory, Swarm Intelligence
@conference{2012-GonzalezCamacho,
title = {Maximal Component detection in graphs using swarm-based and genetic algorithms},
author = {Antonio Gonzalez-Pardo and David Camacho},
url = {https://aida.etsisi.upm.es/wp-content/uploads/2013/07/IDC-2012.pdf},
isbn = {978-3-642-32523-6},
year = {2012},
date = {2012-07-03},
urldate = {2012-07-03},
booktitle = {Proceedings of the 6th International Symposium on Intelligent Distributed Computing - IDC 2012},
volume = {446},
pages = {247 – 252},
publisher = {Springer Berlin Heidelberg},
series = {Studies in Computational Intelligence},
keywords = {Ant Colony Optimization, Computational Intelligence, Genetic Algorithms, Graph Theory, Swarm Intelligence},
pubstate = {published},
tppubtype = {conference}
}
Bello-Orgaz, Gema; Menendez, Hector D; Camacho, David
Adaptive K-Means Algorithm for overlapped graph clustering Journal Article
In: International Journal of Neural Systems, vol. 22 (Impact Factor:5.1 -Q1), no. 05, pp. 1250018 1–19, 2012, ISSN: 0129-0657.
Links | BibTeX | Tags: Clustering, Genetic Algorithms, Graph Theory, Overlapping Clustering
@article{Bello-Orgaz:2012:IJNS,
title = {Adaptive K-Means Algorithm for overlapped graph clustering},
author = {Gema Bello-Orgaz and Hector D Menendez and David Camacho},
url = {http://www.worldscientific.com/doi/abs/10.1142/S0129065712500189
https://aida.etsisi.upm.es/wp-content/uploads/2012/09/ijns-2012.pdf},
issn = {0129-0657},
year = {2012},
date = {2012-06-18},
urldate = {2012-06-18},
journal = {International Journal of Neural Systems},
volume = {22 (Impact Factor:5.1 -Q1)},
number = {05},
pages = {1250018 1--19},
keywords = {Clustering, Genetic Algorithms, Graph Theory, Overlapping Clustering},
pubstate = {published},
tppubtype = {article}
}
Barrero, David F; R-Moreno, Maria D; Camacho, David
Adapting Searchy to extract data using evolved wrappers Journal Article
In: Expert Systems with Applications, vol. 39, no. 3, pp. 3061 - 3070, 2012, ISSN: 0957-4174.
Links | BibTeX | Tags: Genetic Algorithms, Information Extraction, Wrappers
@article{Barrero20123061,
title = {Adapting Searchy to extract data using evolved wrappers},
author = {David F Barrero and Maria D R-Moreno and David Camacho},
url = {http://dx.doi.org/10.1016/j.eswa.2011.08.168},
issn = {0957-4174},
year = {2012},
date = {2012-02-15},
urldate = {2012-02-15},
journal = {Expert Systems with Applications},
volume = {39},
number = {3},
pages = {3061 - 3070},
publisher = {Elsevier},
keywords = {Genetic Algorithms, Information Extraction, Wrappers},
pubstate = {published},
tppubtype = {article}
}
2011
Gonzalez-Pardo, Antonio; Camacho, David
Analysis of Grammatical Evolution Approaches to Regular Expression Induction Conference
Evolutionary Computation (CEC), 2011 IEEE Congress on, 2011, ISBN: 978-1-4244-7835-4/11/.
Links | BibTeX | Tags: Genetic Algorithms, Information Extraction, Regular Expressions
@conference{11-Gonzalez-Pardo-CEC,
title = {Analysis of Grammatical Evolution Approaches to Regular Expression Induction},
author = {Antonio Gonzalez-Pardo and David Camacho},
url = {https://aida.etsisi.upm.es/wp-content/uploads/2011/09/CEC-11-GonzalezCamacho.pdf},
isbn = {978-1-4244-7835-4/11/},
year = {2011},
date = {2011-03-24},
booktitle = {Evolutionary Computation (CEC), 2011 IEEE Congress on},
pages = {639 -- 646},
keywords = {Genetic Algorithms, Information Extraction, Regular Expressions},
pubstate = {published},
tppubtype = {conference}
}
Bello-Orgaz, Gema; Menéndez, Héctor D; Camacho, David
Using the Clustering Coefficient to Guide a Genetic-Based Communities Finding Algorithm Book Section
In: Intelligent Data Engineering and Automated Learning - IDEAL 2011, vol. 6936, pp. 160-169, Springer Berlin / Heidelberg, 2011, ISSN: 978-3-642-23877-2.
Links | BibTeX | Tags: Clustering, Genetic Algorithms, Graph Theory
@incollection{springerlink:10.1007/978-3-642-23878-9_20,
title = {Using the Clustering Coefficient to Guide a Genetic-Based Communities Finding Algorithm},
author = {Gema Bello-Orgaz and Héctor D Menéndez and David Camacho},
url = {http://dx.doi.org/10.1007/978-3-642-23878-9_20
https://aida.etsisi.upm.es/wp-content/uploads/2012/09/IDEAL2011UsingClustering.pdf},
issn = {978-3-642-23877-2},
year = {2011},
date = {2011-01-01},
urldate = {2011-01-01},
booktitle = {Intelligent Data Engineering and Automated Learning - IDEAL 2011},
volume = {6936},
pages = {160-169},
publisher = {Springer Berlin / Heidelberg},
series = {Lecture Notes in Computer Science},
keywords = {Clustering, Genetic Algorithms, Graph Theory},
pubstate = {published},
tppubtype = {incollection}
}
2010
Gonzalez-Pardo, Antonio; Granados, Ana; Camacho, David; Rodríguez, Francisco Borja
Influence of music representation on compression-based clustering Conference
IEEE World Congress on Computational Intelligence, IEEE Xplore, 2010, ISSN: 978-1-4244-6910-9.
Links | BibTeX | Tags: Clustering, Genetic Algorithms, Information Theory, Normalized Compression Distance
@conference{10-GonzalezPardo-CEC,
title = {Influence of music representation on compression-based clustering},
author = {Antonio Gonzalez-Pardo and Ana Granados and David Camacho and Francisco Borja Rodríguez},
url = {https://aida.etsisi.upm.es/wp-content/uploads/2011/09/CEC-GonzalezEtAl.pdf},
issn = {978-1-4244-6910-9},
year = {2010},
date = {2010-07-22},
urldate = {2010-07-22},
booktitle = {IEEE World Congress on Computational Intelligence},
pages = {2988 - 2995},
publisher = {IEEE Xplore},
keywords = {Clustering, Genetic Algorithms, Information Theory, Normalized Compression Distance},
pubstate = {published},
tppubtype = {conference}
}
Barrero, David F; Gonzalez-Pardo, Antonio; Camacho, David; R-Moreno, Maria D
Distributed Parameter Tunning for Genetic Algorithm Journal Article
In: Computer Science and Information Systems (COMSIS), vol. 7, no. 3, pp. 661-677, 2010, ISSN: 1820-0214.
Links | BibTeX | Tags: Genetic Algorithms, Multi-agents systems
@article{10-BarreroEtAl-COMSIS,
title = {Distributed Parameter Tunning for Genetic Algorithm},
author = {David F Barrero and Antonio Gonzalez-Pardo and David Camacho and Maria D R-Moreno},
url = {http://www.comsis.org/ComSIS/Vol7No3/RegularPapers/paper13.pdf},
issn = {1820-0214},
year = {2010},
date = {2010-06-25},
journal = {Computer Science and Information Systems (COMSIS)},
volume = {7},
number = {3},
pages = {661-677},
publisher = {Publisher ComSIS Consortium},
keywords = {Genetic Algorithms, Multi-agents systems},
pubstate = {published},
tppubtype = {article}
}
Gonzalez-Pardo, Antonio; Barrero, David F; Camacho, David; R-Moreno, Maria D
A Case Study on Grammatical-Based Representation for Regular Expression Evolution Conference
Trends in Practical Applications of Agents and Multiagent Systems, vol. 71, Advances in Soft Computing Universidad Autónoma de Madrid Departamento de Informática C/Francisco Tomás y Valiente, n 11 28049 Madrid Spain Springer Berlin / Heidelberg, 2010, ISSN: 978-3-642-12432-7.
Links | BibTeX | Tags: Genetic Algorithms, Information Extraction, Regular Expressions
@conference{10-GonzalezEtAl-PAAMS,
title = {A Case Study on Grammatical-Based Representation for Regular Expression Evolution},
author = {Antonio Gonzalez-Pardo and David F Barrero and David Camacho and Maria D R-Moreno},
url = {https://aida.etsisi.upm.es/wp-content/uploads/2011/09/PAAMS-GonzalezEtAl.pdf},
issn = {978-3-642-12432-7},
year = {2010},
date = {2010-04-27},
urldate = {2010-04-27},
booktitle = {Trends in Practical Applications of Agents and Multiagent Systems},
volume = {71},
pages = {379-386},
publisher = {Springer Berlin / Heidelberg},
organization = {Universidad Autónoma de Madrid Departamento de Informática C/Francisco Tomás y Valiente, n 11 28049 Madrid Spain},
series = {Advances in Soft Computing},
keywords = {Genetic Algorithms, Information Extraction, Regular Expressions},
pubstate = {published},
tppubtype = {conference}
}
Barrero, David F; Gonzalez-Pardo, Antonio; R-Moreno, Maria D; Camacho, David
Variable Length-Based Genetic Representation to Automatically Evolve Wrappers Conference
Trends in Practical Applications of Agents and Multiagent Systems, vol. 71, Advances in Soft Computing Springer Berlin / Heidelberg, 2010, ISSN: 978-3-642-12432-7.
Links | BibTeX | Tags: Genetic Algorithms, Information Extraction, Regular Expressions
@conference{10-BarreroEtAl-PAAMS,
title = {Variable Length-Based Genetic Representation to Automatically Evolve Wrappers},
author = {David F Barrero and Antonio Gonzalez-Pardo and Maria D R-Moreno and David Camacho},
url = {https://aida.etsisi.upm.es/wp-content/uploads/2011/09/PAAMS-BarreroEtAl.pdf},
issn = {978-3-642-12432-7},
year = {2010},
date = {2010-04-26},
urldate = {2010-04-26},
booktitle = {Trends in Practical Applications of Agents and Multiagent Systems},
volume = {71},
pages = {371-378},
publisher = {Springer Berlin / Heidelberg},
series = {Advances in Soft Computing},
keywords = {Genetic Algorithms, Information Extraction, Regular Expressions},
pubstate = {published},
tppubtype = {conference}
}
Barrero, David F; Camacho, David; R-Moreno, Maria D
Confidence intervals of success rates in evolutionary computation Proceedings Article
In: GECCO, pp. 975-976, 2010.
BibTeX | Tags: Genetic Algorithms
@inproceedings{DBLP:conf/gecco/BarreroCR10,
title = {Confidence intervals of success rates in evolutionary computation},
author = {David F Barrero and David Camacho and Maria D R-Moreno},
year = {2010},
date = {2010-01-01},
urldate = {2010-01-01},
booktitle = {GECCO},
pages = {975-976},
crossref = {DBLP:conf/gecco/2010},
keywords = {Genetic Algorithms},
pubstate = {published},
tppubtype = {inproceedings}
}
2009
Barrero, David F; Camacho, David; R-Moreno, Maria D
A Framework for Agent-Based Evaluation of Genetic Algorithms Proceedings Article
In: IDC, pp. 31-41, 2009.
BibTeX | Tags: Genetic Algorithms, Multi-agents systems
@inproceedings{DBLP:conf/idc/BarreroCR09,
title = {A Framework for Agent-Based Evaluation of Genetic Algorithms},
author = {David F Barrero and David Camacho and Maria D R-Moreno},
year = {2009},
date = {2009-01-01},
urldate = {2009-01-01},
booktitle = {IDC},
pages = {31-41},
crossref = {DBLP:conf/idc/2009},
keywords = {Genetic Algorithms, Multi-agents systems},
pubstate = {published},
tppubtype = {inproceedings}
}
2004
Aler, Ricardo; Camacho, David; Moscardini, Alfredo
The Effects of Transfer of Global Improvements in Genetic Programming Journal Article
In: Computers and Artificial Intelligence, vol. 23, no. 4, 2004.
BibTeX | Tags: Genetic Algorithms
@article{DBLP:journals/cai/AlerCM04,
title = {The Effects of Transfer of Global Improvements in Genetic Programming},
author = {Ricardo Aler and David Camacho and Alfredo Moscardini},
year = {2004},
date = {2004-01-01},
journal = {Computers and Artificial Intelligence},
volume = {23},
number = {4},
keywords = {Genetic Algorithms},
pubstate = {published},
tppubtype = {article}
}
2002
Aler, Ricardo; Camacho, David; Blázquez, Fernando
Evolución de jerarquías de subrutinas Proceedings Article
In: Primer Congreso Español de Algoritmos Evolutivos y Bioinspirados (AEB'02), Merida, Spain, 2002.
BibTeX | Tags: Genetic Algorithms
@inproceedings{camacho:aeb02,
title = {Evolución de jerarquías de subrutinas},
author = {Ricardo Aler and David Camacho and Fernando Blázquez},
year = {2002},
date = {2002-12-10},
booktitle = {Primer Congreso Español de Algoritmos Evolutivos y Bioinspirados (AEB'02)},
address = {Merida, Spain},
keywords = {Genetic Algorithms},
pubstate = {published},
tppubtype = {inproceedings}
}
2001
Aler, Ricardo; Blázquez, Francisco; Camacho, David
Experimentacion en Programacion Genetica Multinivel Journal Article
In: Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, vol. 13, pp. 10-22, 2001.
BibTeX | Tags: Genetic Algorithms
@article{DBLP:journals/aepia/AlerBC01,
title = {Experimentacion en Programacion Genetica Multinivel},
author = {Ricardo Aler and Francisco Blázquez and David Camacho},
year = {2001},
date = {2001-01-01},
journal = {Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial},
volume = {13},
pages = {10-22},
keywords = {Genetic Algorithms},
pubstate = {published},
tppubtype = {article}
}