Aleš Zamuda, University of Maribor, Maribor, Slovenia
Swagatam Das, Indian Statistical Institute, Kolkata, India
Ponnuthurai Nagaratnam Suganthan, Nanyang Technological University, Singapore
Bijaya Ketan Panigrahi, Indian Institute of Technology Delhi, Delhi, India
The 7-th Joint International Conferences on Swarm, Evolutionary and Memetic Computing Conference (SEMCCO 2019) & Fuzzy And Neural Computing Conference (FANCCO 2019) as seventh installment of the conference, will be held in Maribor, Slovenia, EU, 10-12 July 2019.
The SEMCCO 2019 is the seventh international conference of this series, where SEMCCO 2010 has been successfully organized at SRM University, Chennai, SEMCCO 2011 at ANITS, Visakhpatnam, SEMCCO 2012 at SOA University, Bhubaneswar, SEMCCO 2013 at SRM University, Chennai, SEMCCO 2014 at SOA University, Bhubaneswar, and SEMCCO 2015 at Hyderabad, India. The FANCCO 2019 is the fifth international conference of this series, collocated and co-organized with SEMCCO.
These conferences aim at bringing together researchers from academia and industry to report and review the latest progresses in the cutting – edge research with Swarm, Evolutionary, Memetic, Fuzzy, and Neural computing to explore new application areas and to design new bio – inspired algorithms for solving specific hard optimization problems and finally to create awareness on these domains to a wider audience to practitioners. Therefore, researchers are encouraged to submit their contributions in both theoretical and practical aspects.
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http://semcco2019.org/
Biography:
Ponnuthurai Nagaratnam Suganthan received the B.A. degree, Postgraduate Certificate and M.A. degree in Electrical and Information Engineering from the University of Cambridge, UK in 1990, 1992 and 1994, respectively. After completing his PhD research in 1995, he served as a pre-doctoral Research Assistant in the Dept. of Electrical Engineering, University of Sydney in 1995–96 and a lecturer in the Dept. of Computer Science and Electrical Engineering, University of Queensland in 1996–99. He moved to NTU in 1999. He was an Editorial Board Member of the Evolutionary Computation Journal, MIT Press (2013 – 2018) and an associate editor of the IEEE Trans on Cybernetics (2012 – 2018). He is an associate editor of Applied Soft Computing (Elsevier, 2018 -), Neurocomputing (Elsevier, 2018 -), IEEE Trans on Evolutionary Computation (2005 -), Information Sciences (Elsevier, 2009 -), Pattern Recognition (Elsevier, 2001 -) and Int. J. of Swarm Intelligence Research (2009 -) Journals. He is a founding co-editor-in-chief of Swarm and Evolutionary Computation (2010 -), an SCI Indexed Elsevier Journal. His co-authored SaDE paper (published in April 2009) won the “IEEE Trans. on Evolutionary Computation outstanding paper award” in 2012. His former PhD student, Dr Jane Jing Liang, won the IEEE CIS Outstanding PhD dissertation award, in 2014. IEEE CIS Singapore Chapter won the best chapter award in Singapore in 2014 for its achievements in 2013 under his leadership. His research interests include swarm and evolutionary algorithms, pattern recognition, forecasting, randomized neural networks, deep learning and applications of swarm, evolutionary & machine learning algorithms. His publications have been well cited (Google Scholar Citations: ~34k). His SCI indexed publications attracted over 1000 SCI citations in a calendar year since 2013. He was selected as one of the highly cited researchers by Thomson Reuters every year from 2015 to 2018 in computer science. He served as the General Chair of the IEEE SSCI 2013. He is an IEEE CIS distinguished lecturer (DLP) in 2018-2020. He has been a member of the IEEE (S’91, M’92, SM’00, Fellow’15) since 1991 and an elected AdCom member of the IEEE Computational Intelligence Society (CIS) in 2014 – 2016.
Email:
Address:S2-B2a-21, EEE, Nanyang Technological University, Singapore, Singapore, Singapore, 639798
While theory is an integral part of research on bio-inspired algorithms for many years now, it isoften believed to mostly give fundamental explanations, but not to really help improving theexisting methods. In this talk, I will argue that this is not the full picture and that theoretical workcan quickly lead to ready-to-use improvements of classic algorithms - at least if one reads thetheoretical results right and if the theory community supports this by writing them up in anaccessible manner.
Biography:
Benjamin Doerr is a senior researcher at the Max Planck Institute for Computer Science and a professor at École Polytechnique and Saarland University. He received his diploma (1998), PhD (2000) and habilitation (2005) in mathematics from Kiel University. His research area is the theory both of problem-specific algorithms and of randomized search heuristics like evolutionary algorithms. Major contributions to the latter include runtime analyses for evolutionary algorithms and ant colony optimizers, as well as the further development of the drift analysis method, in particular, multiplicative and adaptive drift. In the young area of black-box complexity, he proved several of the current best bounds. He is a member of the editorial boards of Journal of Complexity, Theoretical Computer Science, RAIRO-Theoretical Informatics and Applications, Information Processing Letters, Evolutionary Computation, Natural Computing, and Artificial Intelligence. Together with Anne Auger, he is an editor of the book “Theory of Randomized Search Heuristics”.
Email:
Address:1 rue Honoré d'Estienne d'Orves, Bâtiment Alan Turing, Campus de l'École Polytechnique, Palaiseau, France, 91120
Download: PDF Conference Program Schedule (final)
Preliminary Program Uploaded: 26. 6. 2019, 12:49 CET — Final Program Uploaded: 9. 7. 2019, 12:24 CET
Keynotes: 2
Sessions with papers: 5
Social events: 4
Arrival of participants in Maribor, Slovenia.
8:00-15:00 Registration
9:00-9:30 Opening ceremony
9:30-10:30 Keynote (Benjamin Doerr)
10:30-11:00 Tea/coffee break
11:00-12:30 Paper presentation session 1
12:30-13:30 Lunch break (served in aula of the hotel)
13:30-14:30 Free Time (break-out session)
14:30-15:00 Tea/coffee break
15:00-16:30 Paper presentation session 2
17:30-19:30 Social event 1 (guided tour around Maribor)
8:00-15:00 Registration
9:00-10:00 Keynote (Ponnuthurai Nagaratnam Suganthan)
10:00-10:30 Tea/coffee break
10:30-12:00 Paper presentation session 3
12:00-13:10 Lunch break (served in aula of the hotel)
13:10-14:00 Tutorial (Aleš Zamuda: Differential Evolution Applicability)
14:00-14:30 Tea/coffee break
14:30-16:00 Paper presentation session 4
17:00-19:00 Social event 2 (bus tour to a Maribor’s nearby hill)
20:00-00:00 Social event 3 (Gala Dinner)
8:00-12:00 Registration
9:00-10:00 Benchmarking panel discussion
10:00-10:30 Tea/coffee break
10:30-11:30 Paper presentation session 5
11:30-12:00 Technical program closing ceremony
12:30-00:00 Lunch with Social event 4 (bus tour)
Chair: Aleš Zamuda
11:00 P-26
Petr Bujok
Cooperative Model of Evolutionary Algorithms and Real-World Problems
11:20 P-23
Thanh Cong Truong, Quoc Bao Diep, Ivan Zelinka and Roman Senkerik
Pareto-based Self-Organizing Migrating Algorithm solving 100-Digit Challenge
11:40 P-2
Amina Alić, Klemen Berkovič, Borko Bošković and Janez Brest
Population Size in Differential Evolution
12:00 P-13
Marko Peras and Nikola Ivkovic
Channel Assignment with Ant Colony Optimization
Chair: Roman Senkerik
15:00 P-27
Michal Pluhacek, Roman Senkerik, Adam Viktorin and Tomas Kadavy
Self-organizing migrating algorithm with non-binary perturbation
15:20 P-28
Tomas Kadavy, Michal Pluhacek, Roman Senkerik and Adam Viktorin
Boundary Strategies for Self-organizing Migrating Algorithm Analyzed Using CEC`17 Benchmark
15:40 P-9
Vikas Palakonda and Rammohan Mallipeddi
MOEA with Approximate Nondominated Sorting based on Sum of Normalized Objectives
16:00 P-5
Shree Ram Pandey, Rituparna Datta, Aviv Segev and Bishakh Bhattacharya
Evolutionary Bi-Objective Optimization and Knowledge Extraction for Electronic and Automotive Cooling
Chair: Benjamin Doerr
10:30 P-8
Wen Xin Cheng, Ponnuthurai Nagaratnam Suganthan, Queheng Xue and Rakesh Katuwal
Classification of Stock Market Trends with Confidence-based Selective Predictions
10:50 P-12
Palash Pal, Rituparna Datta, Deepak Rajbansi and Aviv Segev
A Neural Net Based Prediction of Sound Pressure Level for the Design of the Aerofoil
11:10 P-3
Petr Bujok
Competition of Strategies in jSO Algorithm
11:30 P-21
Thanh Cong Truong, Ivan Zelinka and Roman Šenkeřík
Neural swarm virus
11:50 P-30
Aleš Zamuda
Solving 100-Digit Challenge with Score 100 by Extending Running Time
Chairs: Iztok Fister Jr., Roman Senkerik
14:30 P-14
Dušan Fister, Iztok Fister, Timotej Jagrič, Iztok Jr. Fister and Janez Brest
Wrapper-based feature selection using Self-adaptive Differential Evolution
14:50 P-20
Quoc Bao Diep, Ivan Zelinka, Swagatam Das and Roman Senkerik
SOMA T3A for Solving the 100-Digit Challenge
15:10 P-7
Daniel Angus and Iztok Jr. Fister
Tracking the exploration and exploitation in stochastic population-based nature-inspired algorithms using recurrence plots
15:30 P-29
Roman Senkerik, Adam Viktorin, Tomas Kadavy, Michal Pluhacek and Ivan Zelinka
Insight into Adaptive Differential Evolution Variants with Unconventional Randomization Schemes
Chair: Ponnuthurai Nagaratnam Suganthan
10:30 P-11
Eliana Giovannitti, Giovanni Squillero and Alberto Tonda
Virtual Measurement of the Backlash Gap in Industrial Manipulators
10:50 P-31
Jani Dugonik
Comparing methods in statistical machine translation including differential evolution
11:10 P-22
Ivana Strumberger, Eva Tuba, Nebojsa Bacanin and Milan Tuba
Hybrid Elephant Herding Optimization Approach for Cloud Computing Load Scheduling
List of editors: Aleš Zamuda, Swagatam Das, Ponnuthurai Nagaratnam Suganthan, Bijaya Ketan Panigrahi
On behalf of the conference organization chairs, establishment of an IEEE Computational Intelligence Society (CIS) chapter at IEEE Slovenia Section has also been intensively discussed, to be established later (established September 30, 2019), with geo-code CH08873 (chair Aleš Zamuda).
