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Editorial: Advances on Bio-inspired Information, Communication and Computational Systems

Junichi Suzuki, Parisa Memarmoshrefi, Tadashi Nakano
2016 Journal on spesial topics in mobile networks and applications  
Editorial: This special issue features seven selected papers from the 8th International Conference Bio-inspired Information and Communications Technologies (BICT), which took place in Boston, MA, USA,  ...  among agents in a socialtechnological network such as an internet of humans and things (IOHT); with the aim of study of the behavior of the entity in the network such as honest and deceptive behavior.  ...  Imrich Chlamtac and Sara Fruner for their significant guidance to edit this special issue.  ... 
doi:10.1007/s11036-016-0706-8 fatcat:hfs6h32duvfnjp3mlvlcykl4t4

Editorial to tenth anniversary issue on progress in genetic programming and evolvable machines

Julian F. Miller, Riccardo Poli
2010 Genetic Programming and Evolvable Machines  
Acknowledgments We would like to thank the editor-in-chief, Lee Spector, for suggesting and supporting this special issue.  ...  In 1994, 10 years before the establishment of the annual human-competitive results competition at the 2004 Genetic and Evolutionary Computation Conference (GECCO 2004) , he obtained the first human competitive  ...  Three articles were invited to act as reference points for the special issue: one on theoretical results in GP, a review of human-competitive applications of GP and one aimed at providing a snapshot of  ... 
doi:10.1007/s10710-010-9115-0 fatcat:bgfdqrboljfbdghj4e4mkwkpee

Guest editorial: special issue on biologically inspired music, sound, art and design

Juan Romero, Penousal Machado, Adrian Carballal
2013 Genetic Programming and Evolvable Machines  
special issue.  ...  at the conference and in this special issue.  ... 
doi:10.1007/s10710-013-9191-z fatcat:nvkzvm4ffnbm3kqvwm24y5sxau

Special Issue on Context-Awareness of Mobile Systems: Models, Algorithms and Applications

Phan Cong Vinh, Jun Suzuki
2013 Journal on spesial topics in mobile networks and applications  
In particular, the special issue covers various problems on models, algorithms and applications for context-awareness of mobile systems.  ...  These contributions include some recent advances in contextawareness of mobile systems reflected in the six papers that we chose to invite for this special issue.  ...  In particular, the special issue covers various problems on models, algorithms and applications for context-awareness of mobile systems.  ... 
doi:10.1007/s11036-013-0432-4 fatcat:kr4y45omofhbtaeqkrog3sq3uq

Newly Elected CIS Administrative Committee Members (2021-2023) [Society Briefs]

Bernadette Bouchon-Meunier Bouchon-Meunier
2021 IEEE Computational Intelligence Magazine  
conferences such as GECCO 2004 , 2017 , 2018 , 2020 , FUZZ-IEEE 2009 , 2011 and EMO 2019 .  ...  He received 74 patents issued by the US Patent Office.  ...  Also, he published three monographs (in Chinese), one of which, entitled with "Systematic Theory of Neural Networks for Pattern Recognition," won the Second-Class Prize of the 8th Excellent High Technology  ... 
doi:10.1109/mci.2021.3061851 fatcat:pjkhrycrlvcfvkg5uda3f2r574

Search-based software engineering

Mark Harman, S. Afshin Mansouri, Yuanyuan Zhang
2012 ACM Computing Surveys  
The field of SE is also imbued with rich metrics that can be useful initial candidates for fitness functions [Harman and Clark 2004]. This paper aims to provide a comprehensive survey of SBSE.  ...  The interest in SBO for SE has led to an increased interest in other forms of optimization for SE that are not necessarily directly based on a 'search'.  ...  of one is likely to have an impact on the fitness of another, so evolution in isolation may not be capable of locating the best solutions.  ... 
doi:10.1145/2379776.2379787 fatcat:m4elb2acwvfdjaifqdcjftgksq

The 2009 Simulated Car Racing Championship

Daniele Loiacono, Pier Luca Lanzi, Julian Togelius, Enrique Onieva, David A Pelta, Martin V Butz, Thies D Lönneker, Luigi Cardamone, Diego Perez, Yago Sáez, Mike Preuss, Jan Quadflieg
2010 IEEE Transactions on Computational Intelligence and AI in Games  
ACM Genetic and Evolutionary Computation Conference (GECCO), and the 2009 IEEE Symposium on Computational Intelligence and Games (CIG).  ...  Then, the five best teams describe the methods of computational intelligence they used to develop their drivers and the lessons they learned from the participation in the championship.  ...  ACKNOWLEDGMENT The organizers of the championship, D. Loiacono, P. L. Lanzi, and J.  ... 
doi:10.1109/tciaig.2010.2050590 fatcat:uqxuu55u6zgy7ne5cabbhrjeiy

Diagnostic interpretation of array data using public databases and internet sources

Nicole de Leeuw, Trijnie Dijkhuizen, Jayne Y. Hehir-Kwa, Nigel P. Carter, Lars Feuk, Helen V. Firth, Robert M. Kuhn, David H. Ledbetter, Christa Lese Martin, Conny M. A. van Ravenswaaij-Arts, Steven W. Scherer, Soheil Shams (+4 others)
2012 Human Mutation  
Correct CNV interpretation and optimal use of the genotype information provided by single-nucleotide polymorphism probes on an array depends largely on knowledge present in various resources.  ...  With our knowledge of the human genome growing rapidly, applications for array testing continuously broadening, and the resolution of CNV detection increasing, this leads to great complexity in interpreting  ...  Part of the information for this paper was gathered during the symposium and based on participants' answers to a questionnaire and their input during the workshop on "The interpretation of CNVs and the  ... 
doi:10.1002/humu.22049 pmid:26285306 pmcid:PMC5027376 fatcat:hqvlbupy2faw7njm7ppq52hifa

An Evolutionary Squeaky Wheel Optimization Approach to Personnel Scheduling

U. Aickelin, E.K. Burke, Jingpeng Li
2009 IEEE Transactions on Evolutionary Computation  
The quest for robust heuristics that are able to solve more than one problem is ongoing.  ...  The aim of the Analysis step is to identify below average solution components by calculating a fitness value for all components.  ...  He is also a guest coeditor of two feature issues of the European Journal of Operational Research and two forthcoming special issues of the Annals of Operations Research.  ... 
doi:10.1109/tevc.2008.2004262 fatcat:43mdlpmbsvdabnxwyxsozgqlsa

Multiagent Learning: Basics, Challenges, and Prospects

Karl Tuyls, Gerhard Weiss
2012 The AI Magazine  
Multiagent systems (MAS) are widely accepted as an important method for solving problems of a distributed nature. A key to the success of MAS is efficient and effective multiagent learning (MAL).  ...  The past twenty-five years have seen a great interest and tremendous progress in the field of MAL.  ...  Acknowledgments We would like to thank the anonymous reviewers and the editors of this issue for their insightful comments and suggestions.  ... 
doi:10.1609/aimag.v33i3.2426 fatcat:pvbbzu2stjh2nexxnpumxwxhpi

On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation

Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Fausto Fasano, Rocco Oliveto, Andrea De Lucia
2017 Empirical Software Engineering  
In this paper we present a large scale empirical investigation on the diffuseness of code smells and their impact on code change-and fault-proneness.  ...  The study was conducted across a total of 395 releases of 30 Empir Software Eng open source projects and considering 17,350 manually validated instances of 13 different code smell kinds.  ...  He has published more than 200 papers on these topics in international journals, books, and conference proceedings and has edited books and journal special issues.  ... 
doi:10.1007/s10664-017-9535-z fatcat:6ghkc2bxgvbb7bukrrwyr3ojni

Evolution and development of neural controllers for locomotion, gradient-following, and obstacle-avoidance in artificial insects

J. Kodjabachian, J.-A. Meyer
1998 IEEE Transactions on Neural Networks  
The underlying adaptation of morphology and kinematics to varying flight speed were compared to available biological data on the flight of birds.  ...  Abstract This paper is inspired by the way birds like albatrosses are able to exploit wind gradients at the surface of oceans for staying aloft during very long periods while minimizing their energy expenditure  ...  Acknowledgement The authors thank T. Druot for helpfull advice on using and improving the FMFAW flight simulator.  ... 
doi:10.1109/72.712153 pmid:18255767 fatcat:iy4zjzgcjzc6pmwoqp3c5xpfga

Does single blind peer review hinder newcomers?

Marco Seeber, Alberto Bacchelli
2017 Scientometrics  
The need to adopt either one of these modes has been object of scholarly debate, which has mostly focused on issues of fairness.  ...  Several fields of research are characterized by the coexistence of two different peer review modes to select quality contributions for scientific venues, namely double blind (DBR) and single blind (SBR  ...  Acknowledgements The authors thank the two anonymous reviewers for their useful comments and Kelvin Jones for discussing the statistical method.  ... 
doi:10.1007/s11192-017-2264-7 pmid:29056791 pmcid:PMC5629234 fatcat:dsaufvxtondcpm3qnsegr3uqf4

AI Evaluation: past, present and future [article]

Jose Hernandez-Orallo
2016 arXiv   pre-print
We discuss several possibilities: the adaptation of cognitive tests used for humans and animals, the development of tests derived from algorithmic information theory or more general approaches under the  ...  We describe the limitations of the many evaluation settings and competitions in these three categories and propose several ideas for a more systematic and robust evaluation.  ...  Special issue on Kolmogorov complexity. 20 [176] G. Wang, M. Mohanlal, C. Wilson, X. Wang, M. Metzger, H. Zheng, and B. Y. Zhao.  ... 
arXiv:1408.6908v3 fatcat:6g5h2nzaezey5a3qy3us7lnkvu

An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics

Victoria López, Alberto Fernández, Salvador García, Vasile Palade, Francisco Herrera
2013 Information Sciences  
Kotcz, Editorial: special issue on learning from imbalanced data sets, SIGKDD Explorations 6 (1) (2004) 1–6. [30] N.V. Chawla, A. Lazarevic, L.O. Hall, K.W.  ...  ., & Kotcz, A. (2004). Editorial: Special issue on learning Ishibuchi, H., Yamamoto, T., & Nakashima, T. (2005). Hybridization of fuzzy GBML from imbalanced data sets.  ... 
doi:10.1016/j.ins.2013.07.007 fatcat:dtuhxqu7hzfclktmqlci5ykiw4
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