International Workshop on Benchmarking of Computational Intelligence Algorithms
BOCIA 2018
- URL: http://iao.hfuu.edu.cn/bocia18
- Event Date: 2018-03-29 ~ 2018-03-31
- Submission Date: 2017-11-15
International Workshop on Benchmarking of Computational Intelligence Algorithms (BOCIA)
at the Tenth International Conference on Advanced Computational Intelligence (ICACI 2018)
March 29-31, 2018 in Xiamen, China
http://iao.hfuu.edu.cn/bocia18
BOCIA, the International Workshop on Benchmarking of Computational
Intelligence Algorithms, a part of the Tenth International Conference on
Advanced Computational Intelligence (ICACI 2018), is cordially inviting the
submission of original and unpublished research papers.
Computational Intelligence (CI) is a huge and expanding field which is
rapidly gaining importance, attracting more and more interests from both
academia and industry. It includes a wide and ever-growing variety of
optimization and machine learning algorithms, which, in turn, are applied
to an even wider and faster growing range of different problem domains. For
all of these domains and application scenarios, we want to pick the best
algorithms. Actually, we want to do more, we want to improve upon the best
algorithm. This requires a deep understanding of the problem at hand, the
performance of the algorithms we have for that problem, the features that
make instances of the problem hard for these algorithms, and the parameter
settings for which the algorithms perform the best. Such knowledge can only
be obtained empirically, by collecting data from experiments, by analyzing
this data statistically, and by mining new information from it.
Benchmarking is the engine driving research in the fields of optimization
and machine learning for decades, while its potential has not been fully
explored. Benchmarking the algorithms of Computational Intelligence is an
application of Computational Intelligence itself! This workshop wants to
bring together experts on benchmarking of optimization and machine learning
algorithms. It provides a common forum for them to exchange findings and to
explore new paradigms for performance comparison.
1. Topics of Interest
The topics of interest for this workshop include, but are not limited to:
o mining of higher-level information from experimental results
o modelling of algorithm behaviors and performance
o visualizations of algorithm behaviors and performance
o statistics for performance comparison (robust statistics, PCA, ANOVA,
statistical tests, ROC, …)
o evaluation of real-world goals such as algorithm robustness,
reliability, and implementation issues
o theoretical results for algorithm performance comparison
o comparison of theoretical and empirical results
o new benchmark problems
o automatic algorithm configuration
o algorithm selection
o the comparison of algorithms in "non-traditional" scenarios such as
- multi- or many-objective domains
- parallel implementations, e.g., using GGPUs, MPI, CUDA, clusters, or
running in clouds
- large-scale problems or problems where objective function evaluations
are costly
- dynamic problems or where the objective functions involve randomized
simulations or noise
- deep learning and big data setups
o comparative surveys with new ideas on
- dos and don'ts, i.e., best and worst practices, for algorithm
performance comparison
- tools for experiment execution, result collection, and algorithm
comparison
- benchmark sets for certain problem domains and their mutual advantages
and weaknesses
All accepted papers in this session will be included in the Proceedings of
the IEEE ICACI 2018 published by IEEE Press and indexed by EI.
2. Instructions for Authors
Prospective authors are invited to submit papers of no more than eight
pages in IEEE Manuscript Format for Conference Proceedings (double column,
A4 format), including results, figures and references, with a maximum file
size of 4MB, in PDF format.
More information regarding the submission process can be found at the
conference website
http://www.ieee.org/conferences_events/conferences/publishing/templates.html
and under http://www.icaci2018.org/submission/. Templates can be found at
http://www.icaci2018.org/wp-content/uploads/2017/06/2014_04_msw_a4_format.doc
(Word) and
http://www.icaci2018.org/wp-content/uploads/2017/06/ieee-latex-conference-template.zip
(LaTeX). The papers are to be submitted via the official conference website
submission form (http://easychair.org/conferences/?conf=icaci2018) where
the "International Workshop on Benchmarking of Computational Intelligence
Algorithms" should be selected as track.
The papers are to be submitted via the official conference website
submission form where the "International Workshop on Benchmarking of
Computational Intelligence Algorithms" should be selected as track.
3. Important Dates
Paper Submission Deadline: 15 November 2017
Notification of Acceptance: 15 December 2017
Camera-Ready Copy Due: 15 January 2018
Author Registration: 15 January 2018
Conference Presentation: 29-31 March 2018
For more information please contact Thomas Weise at tweise@hfuu.edu.cn.
4. Chairs
o Thomas Weise, Institute of Applied Optimization, Hefei University, Hefei, China
o Bin Li, University of Science and Technology of China, Hefei, China
o Markus Wagner, University of Adelaide, Adelaide, SA, Australia
o Xingyi Zhang, Anhui University, Hefei, China
o Jörg Lässig, University of Applied Sciences Zittau/Görlitz, Görlitz, Germany
5. International Program Committee
o Thomas Bartz-Beielstein, Technical University of Cologne, Köln (Cologne), Germany
o Josu Ceberio Uribe, University of the Basque Country, Bilbao, Spain
o Wenxiang Chen, Colorado State University, Fort Collins, CO, USA
o Marco Chiarandini, University of Southern Denmark, Odense M, Denmark
o Ramond Chiong, University of Newcastle, Newcastle, Australia
o Carola Doerr, Université Pierre et Marie Curie - Paris 6, Paris, France
o Mohamed El Yafrani, Mohammed V University of Rabat, Rabat, Morocco
o Marcus Gallagher, University of Queensland, Brisbane, Australia
o William La Cava, University of Pennsylvania, Philadelphia, PA, USA
o Jörg Lässig, University of Applied Sciences Zittau/Görlitz, Görlitz, Germany
o Bin Li, University of Science and Technology of China, Hefei, China
o Pu Li, Technische Universität Ilmenau, Ilmenau, Germany
o Jing Liang, Zhengzhou University, Zhengzhou, China
o Zhen Liu, Institute of Applied Optimization, Hefei University, Hefei, China
o Manuel López-Ibáñez, University of Manchester, Manchester, UK
o Yi Mei, Victoria University of Wellington, Wellington, New Zealand
o Martin Middendorf, Leipzig University, Leipzig, Germany
o Antonio J. Nebro, University of Málaga, Málaga, Spain
o Randal S. Olson, University of Pennsylvania, Philadelphia, PA, USA
o Patryk Orzechowski, University of Pennsylvania, Philadelphia, PA, USA
o Qi Qi, University of Science and Technology of China, Hefei, China
o Danilo Sipoli Sanches, Federal University of Technology – Paraná, Cornélio Procópio, Brazil
o Ponnuthurai Nagaratnam Suganthan, Nanyang Technological University, Singapore
o Ryan J. Urbanowicz, University of Pennsylvania, Philadelphia, PA, USA
o Markus Wagner, University of Adelaide, Adelaide, SA, Australia
o Thomas Weise, Institute of Applied Optimization, Hefei University, Hefei, China
o Yang Yu, Nanjing University, Nanjing, China
o Xingyi Zhang, Anhui University, Hefei, China
6. Chair Biographies
Prof. Dr. Thomas Weise obtained the MSc in Computer Science in 2005 from
the Chemnitz University of Technology and his PhD from the University of
Kassel in 2009. He then joined the University of Science and Technology of
China (USTC) as PostDoc and subsequently became Associate Professor at the
USTC-Birmingham Joint Research Institute in Intelligent Computation and Its
Applications (UBRI) at USTC. In 2016, he joined Hefei University as Full
Professor to found the Institute of Applied Optimization at the Faculty of
Computer Science and Technology. Prof. Weise has more than seven years of
experience as a full time researcher in China, having contributed
significantly both to fundamental as well as applied research. He has more
than 80 scientific publications in international peer reviewed journals and
conferences. His book "Global Optimization Algorithms – Theory and
Application" has been cited more than 730 times. He has acted as reviewer,
editor, or programme committee member at 70 different venues.
Prof. Dr. Bin Li received the B.S. degree from Hefei University of
Technology, Hefei, China, in 1992, the M.Sc. degree from Institute of
Plasma Physics, China Academy of Science, Hefei, China, in 1995, and the
Ph.D. degree from University of Science and Technology of China (USTC),
China in 2001. He is currently a professor with the School of Information
Science and Technology, USTC, Hefei, China. He has authored and co-authored
more than 40 refereed publications. His major research interests include
evolutionary computation, memetic algorithms, pattern recognition, and
real-world applications. Dr. Li is the Founding Chair of IEEE CIS Hefei
Chapter, Counselor of IEEE USTC Student Branch, senior member of Chinese
Institute of Electronics (CIE), member of the Technical Committee of
Electronic Circuits and Systems Section of CIE.
Dr. Markus Wagner is a Senior Lecturer at the School of Computer Science,
University of Adelaide, Australia. He has done his PhD studies at the Max
Planck Institute for Informatics in Saarbrücken, Germany and at the
University of Adelaide, Australia. His research topics range from
mathematical runtime analysis of heuristic optimization algorithms and
theory-guided algorithm design to applications of heuristic methods to
renewable energy production, professional team cycling and software
engineering. So far, he has been a program committee member 30 times, and
he has written over 70 articles with over 70 different co-authors. He has
chaired several education-related committees within the IEEE CIS, is Co-
Chair of ACALCI 2017 and General Chair of ACALCI 2018.
Prof. Dr. Xingyi Zhang received the B.Sc. from Fuyang Normal College in
2003, and the M.Sc. in 2006 and Ph.D. in 2009 both from Huazhong University
of Science and Technology. Currently, he is a professor in the School of
Computer Science and Technology, Anhui University. His main research
interests include unconventional models and algorithms of computation,
multi-objective evolutionary optimization and membrane computing. He is the
chair of 2017 Data Driven Optimization of Complex Systems and Applications
and 2015 Asian Conference on Membrane Computing. He also serves as
Editorial Board Member of Complex & Intelligent Systems and International
Journal of Bio-inspired Computing.
Prof. Dr. Jörg Lässig leads the Enterprise Application Development Group of
the University of Applied Sciences Zittau/Görlitz in Germany since 2011. He
holds degrees in Computer Science, Computational Physics, and received a
Ph.D. in Computer Science for his research on efficient algorithms and
models for the generation and control of cooperation networks at Chemnitz
University of Technology (Germany), which he finished in 2009. Prof. Lässig
has PostDocs at the Università della Svizzera italiana, Institute of
Computational Sciences (Lugano, Switzerland) and the International Computer
Science Institute Berkeley (California, USA). His research directions
include sustainable IT services, energy efficiency benchmarking, regional
carbon footprints and energy informatics.
7. Hosting Event
The Tenth International Conference on Advanced Computational Intelligence (ICACI 2018)
Xiamen, China, March 29–31, 2018
http://www.icaci2018.org
ICACI 2018 aims to provide a high-level international forum for scientists,
engineers, and educators to present the state-of-the-art research and
applications in computational intelligence. The conference will feature
plenary speeches given by world renowned scholars, regular sessions with
broad coverage, and special sessions focusing on popular topics. In
addition, best paper awards will be given during the conference. The
proceedings of ICACI 2018 will be submitted to the IEEE Xplore and EI
Compendex. Moreover, selected papers will be published in special issues of
related journals. The conference will favor papers representing advanced
theories and innovative applications in computational intelligence.
Topics areas include, but are not limited to: computational neuroscience,
connectionist theory and cognitive science, mathematical modeling of neural
systems, neurodynamic analysis, neurodynamic optimization and adaptive
dynamic programming, embedded neural systems, probabilistic and
information-theoretic methods, principal and independent component
analysis, hybrid intelligent systems, supervised, unsupervised and
reinforcement learning, deep learning, brain imaging and neural information
processing, neuroinformatics and bioinformatics, support vector machines
and kernel methods, autonomous mental development, data mining, pattern
recognition, time series analysis, image and signal processing, robotic and
control applications, telecommunications, transportation systems, intrusion
detection and fault diagnosis, hardware implementation, real-world
applications, big data processing, fuzzy systems, fuzzy logic, fuzzy set
theory, fuzzy decision making, fuzzy information processing, fuzzy logic
control, evolutionary computation, ant colony optimization, genetic
algorithms, parallel and distributed algorithms, particle swarm
optimization, evolving neural networks, evolutionary fuzzy systems,
evolving neuro-fuzzy systems, evolutionary games and multi-agent systems,
intelligent systems applications.
http://www.icaci2018.org/
at the Tenth International Conference on Advanced Computational Intelligence (ICACI 2018)
March 29-31, 2018 in Xiamen, China
http://iao.hfuu.edu.cn/bocia18
BOCIA, the International Workshop on Benchmarking of Computational
Intelligence Algorithms, a part of the Tenth International Conference on
Advanced Computational Intelligence (ICACI 2018), is cordially inviting the
submission of original and unpublished research papers.
Computational Intelligence (CI) is a huge and expanding field which is
rapidly gaining importance, attracting more and more interests from both
academia and industry. It includes a wide and ever-growing variety of
optimization and machine learning algorithms, which, in turn, are applied
to an even wider and faster growing range of different problem domains. For
all of these domains and application scenarios, we want to pick the best
algorithms. Actually, we want to do more, we want to improve upon the best
algorithm. This requires a deep understanding of the problem at hand, the
performance of the algorithms we have for that problem, the features that
make instances of the problem hard for these algorithms, and the parameter
settings for which the algorithms perform the best. Such knowledge can only
be obtained empirically, by collecting data from experiments, by analyzing
this data statistically, and by mining new information from it.
Benchmarking is the engine driving research in the fields of optimization
and machine learning for decades, while its potential has not been fully
explored. Benchmarking the algorithms of Computational Intelligence is an
application of Computational Intelligence itself! This workshop wants to
bring together experts on benchmarking of optimization and machine learning
algorithms. It provides a common forum for them to exchange findings and to
explore new paradigms for performance comparison.
1. Topics of Interest
The topics of interest for this workshop include, but are not limited to:
o mining of higher-level information from experimental results
o modelling of algorithm behaviors and performance
o visualizations of algorithm behaviors and performance
o statistics for performance comparison (robust statistics, PCA, ANOVA,
statistical tests, ROC, …)
o evaluation of real-world goals such as algorithm robustness,
reliability, and implementation issues
o theoretical results for algorithm performance comparison
o comparison of theoretical and empirical results
o new benchmark problems
o automatic algorithm configuration
o algorithm selection
o the comparison of algorithms in "non-traditional" scenarios such as
- multi- or many-objective domains
- parallel implementations, e.g., using GGPUs, MPI, CUDA, clusters, or
running in clouds
- large-scale problems or problems where objective function evaluations
are costly
- dynamic problems or where the objective functions involve randomized
simulations or noise
- deep learning and big data setups
o comparative surveys with new ideas on
- dos and don'ts, i.e., best and worst practices, for algorithm
performance comparison
- tools for experiment execution, result collection, and algorithm
comparison
- benchmark sets for certain problem domains and their mutual advantages
and weaknesses
All accepted papers in this session will be included in the Proceedings of
the IEEE ICACI 2018 published by IEEE Press and indexed by EI.
2. Instructions for Authors
Prospective authors are invited to submit papers of no more than eight
pages in IEEE Manuscript Format for Conference Proceedings (double column,
A4 format), including results, figures and references, with a maximum file
size of 4MB, in PDF format.
More information regarding the submission process can be found at the
conference website
http://www.ieee.org/conferences_events/conferences/publishing/templates.html
and under http://www.icaci2018.org/submission/. Templates can be found at
http://www.icaci2018.org/wp-content/uploads/2017/06/2014_04_msw_a4_format.doc
(Word) and
http://www.icaci2018.org/wp-content/uploads/2017/06/ieee-latex-conference-template.zip
(LaTeX). The papers are to be submitted via the official conference website
submission form (http://easychair.org/conferences/?conf=icaci2018) where
the "International Workshop on Benchmarking of Computational Intelligence
Algorithms" should be selected as track.
The papers are to be submitted via the official conference website
submission form where the "International Workshop on Benchmarking of
Computational Intelligence Algorithms" should be selected as track.
3. Important Dates
Paper Submission Deadline: 15 November 2017
Notification of Acceptance: 15 December 2017
Camera-Ready Copy Due: 15 January 2018
Author Registration: 15 January 2018
Conference Presentation: 29-31 March 2018
For more information please contact Thomas Weise at tweise@hfuu.edu.cn.
4. Chairs
o Thomas Weise, Institute of Applied Optimization, Hefei University, Hefei, China
o Bin Li, University of Science and Technology of China, Hefei, China
o Markus Wagner, University of Adelaide, Adelaide, SA, Australia
o Xingyi Zhang, Anhui University, Hefei, China
o Jörg Lässig, University of Applied Sciences Zittau/Görlitz, Görlitz, Germany
5. International Program Committee
o Thomas Bartz-Beielstein, Technical University of Cologne, Köln (Cologne), Germany
o Josu Ceberio Uribe, University of the Basque Country, Bilbao, Spain
o Wenxiang Chen, Colorado State University, Fort Collins, CO, USA
o Marco Chiarandini, University of Southern Denmark, Odense M, Denmark
o Ramond Chiong, University of Newcastle, Newcastle, Australia
o Carola Doerr, Université Pierre et Marie Curie - Paris 6, Paris, France
o Mohamed El Yafrani, Mohammed V University of Rabat, Rabat, Morocco
o Marcus Gallagher, University of Queensland, Brisbane, Australia
o William La Cava, University of Pennsylvania, Philadelphia, PA, USA
o Jörg Lässig, University of Applied Sciences Zittau/Görlitz, Görlitz, Germany
o Bin Li, University of Science and Technology of China, Hefei, China
o Pu Li, Technische Universität Ilmenau, Ilmenau, Germany
o Jing Liang, Zhengzhou University, Zhengzhou, China
o Zhen Liu, Institute of Applied Optimization, Hefei University, Hefei, China
o Manuel López-Ibáñez, University of Manchester, Manchester, UK
o Yi Mei, Victoria University of Wellington, Wellington, New Zealand
o Martin Middendorf, Leipzig University, Leipzig, Germany
o Antonio J. Nebro, University of Málaga, Málaga, Spain
o Randal S. Olson, University of Pennsylvania, Philadelphia, PA, USA
o Patryk Orzechowski, University of Pennsylvania, Philadelphia, PA, USA
o Qi Qi, University of Science and Technology of China, Hefei, China
o Danilo Sipoli Sanches, Federal University of Technology – Paraná, Cornélio Procópio, Brazil
o Ponnuthurai Nagaratnam Suganthan, Nanyang Technological University, Singapore
o Ryan J. Urbanowicz, University of Pennsylvania, Philadelphia, PA, USA
o Markus Wagner, University of Adelaide, Adelaide, SA, Australia
o Thomas Weise, Institute of Applied Optimization, Hefei University, Hefei, China
o Yang Yu, Nanjing University, Nanjing, China
o Xingyi Zhang, Anhui University, Hefei, China
6. Chair Biographies
Prof. Dr. Thomas Weise obtained the MSc in Computer Science in 2005 from
the Chemnitz University of Technology and his PhD from the University of
Kassel in 2009. He then joined the University of Science and Technology of
China (USTC) as PostDoc and subsequently became Associate Professor at the
USTC-Birmingham Joint Research Institute in Intelligent Computation and Its
Applications (UBRI) at USTC. In 2016, he joined Hefei University as Full
Professor to found the Institute of Applied Optimization at the Faculty of
Computer Science and Technology. Prof. Weise has more than seven years of
experience as a full time researcher in China, having contributed
significantly both to fundamental as well as applied research. He has more
than 80 scientific publications in international peer reviewed journals and
conferences. His book "Global Optimization Algorithms – Theory and
Application" has been cited more than 730 times. He has acted as reviewer,
editor, or programme committee member at 70 different venues.
Prof. Dr. Bin Li received the B.S. degree from Hefei University of
Technology, Hefei, China, in 1992, the M.Sc. degree from Institute of
Plasma Physics, China Academy of Science, Hefei, China, in 1995, and the
Ph.D. degree from University of Science and Technology of China (USTC),
China in 2001. He is currently a professor with the School of Information
Science and Technology, USTC, Hefei, China. He has authored and co-authored
more than 40 refereed publications. His major research interests include
evolutionary computation, memetic algorithms, pattern recognition, and
real-world applications. Dr. Li is the Founding Chair of IEEE CIS Hefei
Chapter, Counselor of IEEE USTC Student Branch, senior member of Chinese
Institute of Electronics (CIE), member of the Technical Committee of
Electronic Circuits and Systems Section of CIE.
Dr. Markus Wagner is a Senior Lecturer at the School of Computer Science,
University of Adelaide, Australia. He has done his PhD studies at the Max
Planck Institute for Informatics in Saarbrücken, Germany and at the
University of Adelaide, Australia. His research topics range from
mathematical runtime analysis of heuristic optimization algorithms and
theory-guided algorithm design to applications of heuristic methods to
renewable energy production, professional team cycling and software
engineering. So far, he has been a program committee member 30 times, and
he has written over 70 articles with over 70 different co-authors. He has
chaired several education-related committees within the IEEE CIS, is Co-
Chair of ACALCI 2017 and General Chair of ACALCI 2018.
Prof. Dr. Xingyi Zhang received the B.Sc. from Fuyang Normal College in
2003, and the M.Sc. in 2006 and Ph.D. in 2009 both from Huazhong University
of Science and Technology. Currently, he is a professor in the School of
Computer Science and Technology, Anhui University. His main research
interests include unconventional models and algorithms of computation,
multi-objective evolutionary optimization and membrane computing. He is the
chair of 2017 Data Driven Optimization of Complex Systems and Applications
and 2015 Asian Conference on Membrane Computing. He also serves as
Editorial Board Member of Complex & Intelligent Systems and International
Journal of Bio-inspired Computing.
Prof. Dr. Jörg Lässig leads the Enterprise Application Development Group of
the University of Applied Sciences Zittau/Görlitz in Germany since 2011. He
holds degrees in Computer Science, Computational Physics, and received a
Ph.D. in Computer Science for his research on efficient algorithms and
models for the generation and control of cooperation networks at Chemnitz
University of Technology (Germany), which he finished in 2009. Prof. Lässig
has PostDocs at the Università della Svizzera italiana, Institute of
Computational Sciences (Lugano, Switzerland) and the International Computer
Science Institute Berkeley (California, USA). His research directions
include sustainable IT services, energy efficiency benchmarking, regional
carbon footprints and energy informatics.
7. Hosting Event
The Tenth International Conference on Advanced Computational Intelligence (ICACI 2018)
Xiamen, China, March 29–31, 2018
http://www.icaci2018.org
ICACI 2018 aims to provide a high-level international forum for scientists,
engineers, and educators to present the state-of-the-art research and
applications in computational intelligence. The conference will feature
plenary speeches given by world renowned scholars, regular sessions with
broad coverage, and special sessions focusing on popular topics. In
addition, best paper awards will be given during the conference. The
proceedings of ICACI 2018 will be submitted to the IEEE Xplore and EI
Compendex. Moreover, selected papers will be published in special issues of
related journals. The conference will favor papers representing advanced
theories and innovative applications in computational intelligence.
Topics areas include, but are not limited to: computational neuroscience,
connectionist theory and cognitive science, mathematical modeling of neural
systems, neurodynamic analysis, neurodynamic optimization and adaptive
dynamic programming, embedded neural systems, probabilistic and
information-theoretic methods, principal and independent component
analysis, hybrid intelligent systems, supervised, unsupervised and
reinforcement learning, deep learning, brain imaging and neural information
processing, neuroinformatics and bioinformatics, support vector machines
and kernel methods, autonomous mental development, data mining, pattern
recognition, time series analysis, image and signal processing, robotic and
control applications, telecommunications, transportation systems, intrusion
detection and fault diagnosis, hardware implementation, real-world
applications, big data processing, fuzzy systems, fuzzy logic, fuzzy set
theory, fuzzy decision making, fuzzy information processing, fuzzy logic
control, evolutionary computation, ant colony optimization, genetic
algorithms, parallel and distributed algorithms, particle swarm
optimization, evolving neural networks, evolutionary fuzzy systems,
evolving neuro-fuzzy systems, evolutionary games and multi-agent systems,
intelligent systems applications.
http://www.icaci2018.org/
Journal Promotion
|
| Acta Koreana (Acta Koreana) |
|
| Acta Via Serica (AVS) |
|
| Computers and Concrete (CAC) |
|
| Journal of Information Processing Systems (JIPS) |
|
| Journal of Internet Computing and Services (KSII - JICS) |
|
| Journal of Smart Tourism (Smart Tourism) |
|
| Membrane and Water Treatment (MWT) |
|
| Wind and Structures, An International Journal (Wind and Structures) |
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