Tuesday 6 November 2018

CFP: IEEE CEC Special Session on Evolutionary Algorithms for Complex Optimization in the Energy Domain (Jan 7th)

IEEE Congress on Evolutionary Computation – CEC 2019
10-13 June, Wellington, New Zealand
João Soares, Fernando Lezama, Zita Vale, and Markus Wagner

Aim and scope: 

Keeping the world at current pace in what concerns energy demand is not possible with the limited world resources. Sustainability and efficiency are a crucial part of the process to enable this sustained growth. Moreover, adequate methods of energy optimization are highly relevant in the current paradigm playing a key role in the planning, operation, and control of energy systems. However, several optimization problems in the energy domain are complex by nature since they are highly constrained and face issues related to high-dimensionality, lack of information, noisy and corrupted data as well as real-time requirements. Under these circumstances, achieving good solutions in a reasonable amount of time remains a challenge in most problems. Even the most sophisticated exact solutions require workarounds that often lead to unsatisfactory performance and applicability of the algorithms. 

Due to the difficulties of traditional algorithms to find feasible solutions for those complex problems in real-world conditions, Evolutionary Computation (EC) has emerged and demonstrated satisfactory performance in a wide variety of applications in the energy domain.

This is a follow-up of the previous special session in WCCI2018. Research work is welcome concerning complex real-world applications of EC in the energy domain. The problems can be focused on different parts of the energy chain (e.g., heating, cooling, and electricity supply) and different consumer targets (e.g., residential or industrial level). Problems dealing with uncertainty, dynamic environments, many-objectives, and large-scale search spaces are important for the scope of this special session. This special session aims at bringing together the latest applications of EC to complex optimization problems in the energy domain. Besides, this special session is linked to the competition on “Evolutionary Computation in Uncertain Environments: A Smart Grid Application”. Therefore, participants are welcome to submit the results of their algorithms to our session.

Topicsmust be related to EC in the energy domain including, but not limited to:

-       Electric and plug-in hybrid vehicles
-       Electricity markets
-       Energy scheduling
-       Heat and electricity joint optimization problems
-       Hydrogen economy problems
-       Multi/many-objective problems in the energy domain
-       Natural gas optimization problems
-       Optimal power flow in distribution and transmission
-       Residential, industrial and district cooling/heating problems
-       Smart grid and micro-grid problems
-       Solar and wind power integration and forecast
-       Super grids problems (continental and trans-continental transmission system)
-       Transportation & energy joint problems
-       Distributed evolutionary approaches in the energy domain

Important deadlines:
January 7, 2019         Paper submission deadline
March 7, 2019                        Author notification of acceptance or rejection
March 31, 2019          Deadline for receipt of final manuscript

Special Session Organizers:
Joao Soares, GECAD, Polytechnic of Porto
Fernando Lezama, GECAD, Polytechnic of Porto
Zita Vale, Polytechnic of Porto
Markus Wagner, Adelaide University 

Activity ofIEEE CIS Task Force 3 on Computational Intelligence in the Energy Domain

Friday 2 November 2018

IEEE TNNLS November 2018 - Table of Contents

IEEE Transactions on Neural Networks and Learning Systems; Volume 29, Issue 11, November 2018.
Posted by: Haibo He (ieeetnnls@gmail.com)
Date submitted: November 1, 2018.

The following articles appeared in the latest issue of IEEE Transactions on Neural Networks and Learning Systems: Volume 29, Issue 11, November 2018.

This issue published papers on deep reinforcement learning, spiking neural network, multi-task learning, adaptive control, recurrent neural network, among others. We welcome your submissions to IEEE TNNLS.

These articles can be retrieved on IEEE Xplore:
or directly by clicking the individual paper URL below.

IEEE Transactions on Neural Networks and Learning Systems;
Volume 29, Issue 11, November 2018.

1. Hierarchical Deep Reinforcement Learning for Continuous Action Control
Author(s): Zhaoyang Yang; Kathryn Merrick; Lianwen Jin; Hussein A. Abbass
Page(s): 5174 - 5184

2. F-SVM: Combination of Feature Transformation and SVM Learning via Convex Relaxation
Author(s): Xiaohe Wu; Wangmeng Zuo; Liang Lin; Wei Jia; David Zhang
Page(s): 5185 - 5199

3. Adaptive Neural Dynamic Surface Control for Nonstrict-Feedback Systems With Output Dead Zone
Author(s): Xiaocheng Shi; Cheng-Chew Lim; Peng Shi; Shengyuan Xu
Page(s): 5200 - 5213

4. Fuzzy Neural Network Control of a Flexible Robotic Manipulator Using Assumed Mode Method
Author(s): Changyin Sun; Hejia Gao; Wei He; Yao Yu
Page(s): 5214 - 5227

5. Approximate Low-Rank Projection Learning for Feature Extraction
Author(s): Xiaozhao Fang; Na Han; Jigang Wu; Yong Xu; Jian Yang; Wai Keung Wong; Xuelong Li
Page(s): 5228 - 5241

6. Theoretical Study of Oscillator Neurons in Recurrent Neural Networks
Author(s): Lei Zhang; Zhang Yi; Shun-ichi Amari
Page(s): 5242 - 5248

7. Integrating Space, Time, and Orientation in Spiking Neural Networks: A Case Study on Multimodal Brain Data Modeling
Author(s): Neelava Sengupta; Carolyn B. McNabb; Nikola Kasabov; Bruce R. Russell
Page(s): 5249 - 5263

8. Exploring Auxiliary Context: Discrete Semantic Transfer Hashing for Scalable Image Retrieval
Author(s): Lei Zhu; Zi Huang; Zhihui Li; Liang Xie; Heng Tao Shen
Page(s): 5264 - 5276

9. Sequential Outlier Criterion for Sparsification of Online Adaptive Filtering
Author(s): Shiliang Zhang; Hui Cao; Shuo Yang; Yanbin Zhang; Xiali Hei
Page(s): 5277 - 5291

10. Shared Predictive Cross-Modal Deep Quantization
Author(s): Erkun Yang; Cheng Deng; Chao Li; Wei Liu; Jie Li; Dacheng Tao
Page(s): 5292 - 5303

11. Tree2Vector: Learning a Vectorial Representation for Tree-Structured Data
Author(s): Haijun Zhang; Shuang Wang; Xiaofei Xu; Tommy W. S. Chow; Q. M. Jonathan Wu
Page(s): 5304 - 5318

12. Admissible Delay Upper Bounds for Global Asymptotic Stability of Neural Networks With Time-Varying Delays
Author(s): Xian-Ming Zhang; Qing-Long Han; Jun Wang
Page(s): 5319 - 5329

13. Nonparametric Bayesian Correlated Group Regression With Applications to Image Classification
Author(s): Lei Luo; Jian Yang; Bob Zhang; Jielin Jiang; Heng Huang
Page(s): 5330 - 5344

14. Deep Hyperspectral Image Sharpening
Author(s): Renwei Dian; Shutao Li; Anjing Guo; Leyuan Fang
Page(s): 5345 - 5355

15. Biologically Inspired Intensity and Depth Image Edge Extraction
Author(s): Dermot Kerr; Sonya Coleman; Thomas Martin McGinnity
Page(s): 5356 - 5365

16. Semisupervised Negative Correlation Learning
Author(s): Huanhuan Chen; Bingbing Jiang; Xin Yao
Page(s): 5366 - 5379

17. A Generalized Model for Robust Tensor Factorization With Noise Modeling by Mixture of Gaussians
Author(s): Xi’ai Chen; Zhi Han; Yao Wang; Qian Zhao; Deyu Meng; Lin Lin; Yandong Tang
Page(s): 5380 - 5393

18. A Supervised Learning Algorithm for Learning Precise Timing of Multiple Spikes in Multilayer Spiking Neural Networks
Author(s): Aboozar Taherkhani; Ammar Belatreche; Yuhua Li; Liam P. Maguire
Page(s): 5394 - 5407

19. Learning Rates of Regularized Regression With Multiple Gaussian Kernels for Multi-Task Learning
Author(s): Yong-Li Xu; Xiao-Xing Li; Di-Rong Chen; Han-Xiong Li
Page(s): 5408 - 5418

20. A Neural Controller for Image-Based Visual Servoing of Manipulators With Physical Constraints
Author(s): Yinyan Zhang; Shuai Li
Page(s): 5419 - 5429

21. Multistability Analysis of Quaternion-Valued Neural Networks With Time Delays
Author(s): Qiankun Song; Xiaofeng Chen
Page(s): 5430 - 5440

22. Recursive Neural Networks for Density Estimation Over Generalized Random Graphs
Author(s): Marco Bongini; Leonardo Rigutini; Edmondo Trentin
Page(s): 5441 - 5458

23. Efficient Reinforcement Learning via Probabilistic Trajectory Optimization
Author(s): Yunpeng Pan; George I. Boutselis; Evangelos A. Theodorou
Page(s): 5459 - 5474

24. Deep Cascade Learning
Author(s): Enrique S. Marquez; Jonathon S. Hare; Mahesan Niranjan
Page(s): 5475 - 5485

25. Event-Triggered Cooperative Global Robust Practical Output Regulation for Second-Order Uncertain Nonlinear Multiagent Systems
Author(s): Wei Liu; Jie Huang
Page(s): 5486 - 5498

26. Complex Gaussian Processes for Regression
Author(s): Rafael Boloix-Tortosa; Juan José Murillo-Fuentes; Francisco Javier Payán-Somet; Fernando Pérez-Cruz
Page(s): 5499 - 5511

27. A Game-Theoretic Approach to Design Secure and Resilient Distributed Support Vector Machines
Author(s): Rui Zhang; Quanyan Zhu
Page(s): 5512 - 5527

28. Optimizing Kernel Machines Using Deep Learning
Author(s): Huan Song; Jayaraman J. Thiagarajan; Prasanna Sattigeri; Andreas Spanias
Page(s): 5528 - 5540

29. Multiview Clustering via Unified and View-Specific Embeddings Learning
Author(s): Qiyue Yin; Shu Wu; Liang Wang
Page(s): 5541 - 5553

30. Adaptive Neural Control for Robotic Manipulators With Output Constraints and Uncertainties
Author(s): Shuang Zhang; Yiting Dong; Yuncheng Ouyang; Zhao Yin; Kaixiang Peng
Page(s): 5554 - 5564

31. An Online Minimax Optimal Algorithm for Adversarial Multiarmed Bandit Problem
Author(s): Kaan Gokcesu; Suleyman Serdar Kozat
Page(s): 5565 - 5580

32. A Block EM Algorithm for Multivariate Skew Normal and Skew t-Mixture Models
Author(s): Sharon X. Lee; Kaleb L. Leemaqz; Geoffrey J. McLachlan
Page(s): 5581 - 5591

33. Concept Drift and Anomaly Detection in Graph Streams
Author(s): Daniele Zambon; Cesare Alippi; Lorenzo Livi
Page(s): 5592 - 5605

34. Reduced-Order Filtering of Delayed Static Neural Networks With Markovian Jumping Parameters
Author(s): He Huang; Tingwen Huang; Yang Cao
Page(s): 5606 - 5618

35. Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks
Author(s): Siavash Sakhavi; Cuntai Guan; Shuicheng Yan
Page(s): 5619 - 5629

36. A Unifying Objective Function of Independent Component Analysis for Ordering Sources by Non-Gaussianity
Author(s): Yoshitatsu Matsuda; Kazunori Yamaguchi
Page(s): 5630 - 5642

37. Latent Topic Text Representation Learning on Statistical Manifolds
Author(s): Bingbing Jiang; Zhengyu Li; Huanhuan Chen; Anthony G. Cohn
Page(s): 5643 - 5654

38. Collaborative Deconvolutional Neural Networks for Joint Depth Estimation and Semantic Segmentation
Author(s): Jing Liu; Yuhang Wang; Yong Li; Jun Fu; Jiangyun Li; Hanqing Lu
Page(s): 5655 - 5666

39. Efficient Cluster-Based Boosting for Semisupervised Classification
Author(s): Rodrigo G. F. Soares; Huanhuan Chen; Xin Yao
Page(s): 5667 - 5680

40. Adaptive Critic Design for Pure-Feedback Discrete-Time MIMO Systems Preceded by Unknown Backlashlike Hysteresis
Author(s): Li Tang; Yan-Jun Liu; C. L. Philip Chen
Page(s): 5681 - 5690

41. Synchronization of Nonlinearly and Stochastically Coupled Markovian Switching Networks via Event-Triggered Sampling
Author(s): Hailing Dong; Jiamu Zhou; Bingchang Wang; Mingqing Xiao
Page(s): 5691 - 5700

42. A Comprehensive Look at Coding Techniques on Riemannian Manifolds
Author(s): Masoud Faraki; Mehrtash T. Harandi; Fatih Porikli
Page(s): 5701 - 5712

43. Adaptive Learning-Based k-Nearest Neighbor Classifiers With Resilience to Class Imbalance
Author(s): Sankha Subhra Mullick; Shounak Datta; Swagatam Das
Page(s): 5713 - 5725

44. Swarming Behavior of Multiple Euler–Lagrange Systems With Cooperation–Competition Interactions: An Auxiliary System Approach
Author(s): Hong-Xiang Hu; Guanghui Wen; Wenwu Yu; Qi Xuan; Guanrong Chen
Page(s): 5726 - 5737

45. A Collaborative Neurodynamic Approach to Multiobjective Optimization
Author(s): Man-Fai Leung; Jun Wang
Page(s): 5738 - 5748

46. Matrix Factorization From a Few Dominators
Author(s): Quan Liu; Yanbo Wang; Bo Yuan
Page(s): 5749 - 5755

47. Improved Stability Criterion for Recurrent Neural Networks With Time-Varying Delays
Author(s): Jing-Jing Xiong; Guobao Zhang
Page(s): 5756 - 5760

48. Unification of MAP Estimation and Marginal Inference in Recurrent Neural Networks
Author(s): Zhaofei Yu; Feng Chen; Fei Deng
Page(s): 5761 - 5766

49. New Discrete-Time ZNN Models for Least-Squares Solution of Dynamic Linear Equation System With Time-Varying Rank-Deficient Coefficient
Author(s): Binbin Qiu; Yunong Zhang; Zhi Yang
Page(s): 5767 - 5776

50. Output Reachable Set Estimation and Verification for Multilayer Neural Networks
Author(s): Weiming Xiang; Hoang-Dung Tran; Taylor T. Johnson
Page(s): 5777 - 5783

51. Ristretto: A Framework for Empirical Study of Resource-Efficient Inference in Convolutional Neural Networks
Author(s): Philipp Gysel; Jon Pimentel; Mohammad Motamedi; Soheil Ghiasi
Page(s): 5784 - 5789

52. A Weightedly Uniform Detectability for Sensor Networks
Author(s): Wangyan Li; Guoliang Wei; Daniel W. C. Ho; Derui Ding
Page(s): 5790 - 5796