CFP: CEC 2019 workshop "Understanding of Evolutionary Optimization Behavior"

CALL FOR PAPERS

We are organising the workshop “Understanding of Evolutionary Optimization Behavior (UEOB 2019)” at the IEEE Congress on Evolutionary Computation 2019 (http://cec2019.org/programs/workshops.html#cec-02) in Wellington, New Zealand.

Please consider to contribute to and/or forward to the appropriate groups the following opportunity to present original research articles in CEC 2019.

SCOPE

The focus of the UEOB 2019 is to highlight theoretical and empirical research that investigates approaches needed to analyze stochastic optimization algorithms and performance assessment with regard to different criteria. The main goal is to bring the problem and importance of understanding optimization algorithms closer to researchers and to show them how and why this is important for future development in the optimization community. This will help researchers/users to transfer the gained knowledge from theory into the real world, or to find the algorithm that is best suited to the characteristics of a given real-world problem.

More detailed information can be found at http://cs.ijs.si/ueob/.

TOPICS OF INTEREST

• Data-driven approaches (machine learning/information theory/statistics) for assessing algorithm performance
• Vector embeddings of problem search space
• Meta-learning
• New advances in analysis and comparison of algorithms
• Operators influence on algorithm behavior
• Parameters influence on algorithm behavior
• Theoretical algorithm analysis

SUBMISSION GUIDELINES

All submissions should be formatted according to the CEC 2019 submission guidelines provided at http://www.cec2019.org/papers.html#submission. 

All submissions will be handled through EasyChair (https://easychair.org/conferences/?conf=ueob2019) and reviewed by the program committee.

In order to participate to this workshop, a full or a student registration at CEC 2019 is required.

Selected papers will be invited to be extended for a special issue in Natural Computing (https://link.springer.com/journal/11047).

IMPORTANT DATES

• Paper submission: 15 March, 2019
• Notification to authors: 31 March, 2019
• Early registration: 31 March, 2019
• Final submission: 15 April, 2019
• Conference: 10-13 June, 2019

ORGANIZERS

Tome Eftimov

Department of Biomedical Data Sciences, Stanford Medicine

Stanford University

USA

Peter Korošec

Computer Systems Department

Jožef Stefan Institute

Slovenia

Christian Blum

Artificial Intelligence Research Institute (IIIA)

Spanish National Research Council (CSIC)

Spain

WCCI 2016 Workshop Key Challenges and Future Directions of Evolutionary Computation

Organised by:

Yun Li, University of Glasgow, UK (Chair)

Cesare Alippi, Politecnico di Milano, Italy (Vice President for Education, IEEE Computational Intelligence Society)

Thomas Bäck, Universiteit Leiden, The Netherlands (Editor, Handbook of Evolutionary Computation)

Piero Bonissone, Formerly Chief Scientist of GE Global Research, USA (WCCI'16 Workshops Chair)

Stefano Cagnoni, Università degli Studi di Parma, Italy (Secretary, AI*IA)

Carlos Coello Coello, CINVESTAV-IPN, Mexico (Associate Editor, IEEE Trans Evolutionary Computation)

Oscar Cordón, Universidad de Granada, Spain (WCCI'16 FUZZ-IEEE Conference Chair)

Kalyanmoy Deb, Michigan State University, USA (Associate Editor, IEEE Trans Evolutionary Computation)

David Fogel, Natural Selection Inc, USA (Founding Editor-in-Chief, IEEE Trans Evolutionary Computation)

Marouane Kessentini, University of Michigan, USA (WCCI'16 CEC Tutorial organiser)

Yuhui Shi, Xi'an Jiaotong-Liverpool University, China (WCCI'16 CEC Technical Chair)

Xin Yao, University of Birmingham, UK (President, IEEE Computational Intelligence Society)

Mengjie Zhang, Victoria University of Wellington, New Zealand (WCCI'16 CEC Special Sessions Chair)

Motivation:

Since the first WCCI taking place in Orlando in 1994, this Congress series and the Evolutionary Computation community have progressed tremendously. A number of CEC Panel Sessions were held and explored future directions of Evolutionary Computation. As part of the forthcoming WCCI, CEC 2016 in Vancouver promises c.50 Special Sessions, covering comprehensive activities. A Workshop to explore "Key Challenges and Future Directions of Evolutionary Computation" and to reach consensus among academia and industry is therefore timely. This format (instead of a discussion-only forum or panel session) will allow position papers that are submitted, peer reviewed and duly accepted to be recorded in the CEC Workshop Proceedings for future references.

The Workshop:

Following individual presentations of accepted position papers, small breakout sessions will be held in parallel to explore deeper and broader views. Then an open panel discussion will proceed for convergence among academia and industry. It is intended that a short summary will be written up later for IEEE Computational Intelligence Magazine as a separate article for the CIS community and beyond.

Main Topics:

You are warmly invited to submit a position paper with rationale, rigour and supporting evidence on one or more of the following aspects

• key challenges in Evolutionary Computation (such as NP-complexity, constraint handling, convergence proof, convergence vs robustness, optimality vs robustness, multi-/many-objectives, benchmarks, benchmarking problems);
• future directions of Evolutionary Computation (such as multi-modal optimisation, non-stationary evolution, multi-rate or learning evolution, variable-size or fuzzy evolution, distributed and concurrent optimisation, cloud-based evolution, automated design and customisation, optimal evolution, predictive evolution, hybrid ecological and cultural evolution, quantum and analogue 'evolutionary computation');
• real-world challenges to applications of Evolutionary Computation (such as application demand vs supply, real-world NP-hardest problems, landscape forecasting, complexity reduction, generational evolution vs interactive learning, real-time issues, streaming evolution, ease of implementation, scalability and parallelism, big data application);
• and their emergence and trending behaviours (such as Thomson Reuters' "Hot Topics", "Research Fronts" and "Essential Science Indicators").

Technical Requirements:
You position paper should be academic and should normally contain

1. An introduction - clearly identifying the issue and your position, and written in a way that catches the reader's attention
2. A perspective - based on critical reviews, and providing facts for a solid foundation of your arguments
3. A statement of your position or the challenge - formulating and limiting your chosen issue or argument carefully; supporting or validating your position through inductive reasoning with statistical data, authoritative references, or interviews with industrialist experts; analysing opportunities and threats
4. A discussion of both sides of the issue - examining the strengths and weaknesses of your position and potential alternatives
5. Perceived milestones - suggesting courses of action that you have deduced for future developments or in addressing their challenges
6. Potential impacts - evaluating possible solutions and their impacts on the subject, the field and the wider world
7. A conclusion - summarising and reinforcing (without repeating the introduction or body of the paper) the main points, millstones and impacts that you have formulated and advocated.

Submission:

• Submission by 15 January 2016 at Congress website http://ieee-cis.org/conferences/cec2016/upload.php
• LaTeX and MS-Word Templates are available here: http://wcci2016.org/submission.php

Publication:

Your position paper will be reviewed by a cross-disciplinary international programme committee, mainly comprising the organisers of this Workshop.  Accepted academic papers will be published in the CEC Workshop Proceedings. Further, it is intended that the summative discussion will be written up for the IEEE Computational Intelligence Magazine following the Workshop.

Biography of the Chair:

Yun Li is Professor of Systems Engineering at University of Glasgow. He received his PhD in parallel computing and control from University of Strathclyde in 1990. Following a period as Consultant Engineer with UK National Engineering Laboratory in 1989 and as post-doctoral Research Engineer with Industrial Systems and Control Ltd in 1990, he joined University of Glasgow as Lecturer in 1991. Dr Li developed a "Neural and Evolutionary Computing" course in 1995 and a popular online interactive courseware GA Demo in 1997.  In 1998, he established and chaired the IEEE CACSD Evolutionary Computation Working Group. He also established the European Network of Excellence in Evolutionary Computing (EvoNet) workgroup on systems, control and drives, and served on the EvoNet Management Board. In 2011, Professor Li went to Singapore as Founding Director to establish and lead University of Glasgow Singapore, the first overseas subsidiary in the University's 560-year history. He has over 200 publications, one of which is elected by Thomson Reuters into "Research Front in Computer Science", one into "Research Front in Engineering", four into "Essential Science Indicators" (ESI), one has been the most popular paper in IEEE Trans Control Systems Technology every month since publication in 2005, and one among the five most popular in IEEE Trans Systems, Man & Cybernetics - B. Professor Li is also the University's third "Top Author", an Associate Editor of IEEE Trans Evolutionary Computation and other journals, a Chartered Engineer in the UK, and an overseas referee for China's "Yangtze River Scholars Program" and Singapore's National Research Foundation and Ministry of Education.  

WCCI 2016 Workshops

IEEE WCCI 2016 is pleased to confirm the following workshops:

1. Computational Energy Management in Smart Grids - organized by Stefano Squartini, Derong Liu, Francesco Piazza, Dongbin Zhao and Haibo He.
2. Neuromorphic Computing and Cyborg Intelligence - organized by Huajin Tang, Gang Pan, Arindam Basu and Luping Shi

Visit goo.gl/F0dAGA for more information about the workshops.

CEMiSG 2015 2nd International Workshop on Computational Energy Management in Smart Grids 12-17 July 2015, Killarney, Ireland

Scope

The exploitation of natural resources by the increasing world population represents an urgent issue to face for humanity. Electrical Energy represents a relevant example from this perspective and the strong demand coming from developed and developing countries shoved the scientists worldwide to intensify their studies on renewable energy resources, especially in the last two decades. At the same time, we have also registered a remarkable increment of the complexity of the electrical grid at diverse levels in order to include variegated and distributed generation and storage sites.

As a consequence of these aspects, a growing interest has been oriented in the last few years to the development of smart systems able to optimally manage the usage and the distribution of energy among the population with the objective of minimizing wasting and the economic impact, considering the different needs of the heterogeneous grid costumers and the different peculiarities of energy sources. Several ways of intervention are feasible, as the ones indicated in the US Energy Independence and Security Act of 2007.

This motivated the recent spread of advanced technological solutions developed with the objective to introduce intelligence within the energy grid, both at academic and commercial levels. However, the social relevance of the topic makes the need of deepening the studies and providing more and more performing solutions always lively, thus asking for a constant multidisciplinary coordinated action to the scientific communities operating in the Electrical and Electronic Engineering, Computational Intelligence, Digital Signal Processing and Communications research fields.

Narrowing the focus to the interests of our scientific community, the organizers of this Workshop, as inside the IJCNN2015 conference, wants to explore the new frontiers and challenges within the Computational Intelligence research area for the optimal usage and management of energy resources in Smart Grid applicative scenarios.

Topics

• Computational Intelligence for Smart Grids
• Neural Networks based algorithms for Complex Energy Systems
• Deep Learning strategies for Energy Efficiency
• Soft Computing based Algorithms in Energy Applications
• Learning Systems for Smart Grid Optimization
• Learning-based Control of Renewable Energy Generators
• Fast Optimization at diverse Grid levels
• Smart Home Energy Management
• Energy Resource Allocation and Task Scheduling
• Building Energy Consumption Forecasting
• Demand-side Management
• Short-term Load Forecasting
• Neural Networks for Time Series Prediction in Smart Grids
• Non-Intrusive Load Monitoring
• Hybrid Battery Management

Organizers

Stefano Squartini
Università Politecnica delle Marche, Italy
s.squartini@univpm.it

Derong Liu
Chinese Academy of Sciences, China
derongliu@gmail.com
www.cemisg2015.org

Francesco Piazza
Università Politecnica delle Marche, Italy
f.piazza@univpm.it

Dongbin Zhao
Chinese Academy of Sciences, China
dongbin.zhao@ia.ac.cn

Haibo He
University of Rhode Island, USA
he@ele.uri.edu

Technical Program Committee

• Giacomo Boracchi, Italy
• Nelson Kagan, Brazil
• Paul Kaufmann, Germany
• Elias Kyriadikes, Cyprus
• Andrew Kusiak, USA
• Ginaluca Ippoliti Italy
• Chengdong Li, China
• Kang Li, UK
• Danilo Mandic, UK
• Stephen Matthews, UK
• Salman Mohagheghi, USA
• Hugo Morais, France
• Peter Palensky, Austria
• Dianwei Qian, China
• Wei Qiao, USA
• Marco Raugi, Italy
• Pierluigi Siano, Italy
• Gerard Smit, Netherlands
• Dipti Srinivasan, Singapore
• Kumar Venayagamoorthy, USA
• Markus Wagner, Australia
• Qinglai Wei, China

Submission Guidelines

Prospective authors are invited to submit papers according to the IEEE format. All submissions should be according to the specifications of IJCNN2015. Accepted contributions will be part of the IJCNN2015 conference proceedings.

Important Dates

• 15th January 2015: Due date for paper submission
• 15th March 2015: Notification to authors
• 15th April 2016: Camera-ready deadline for accepted papers
• 12th - 17th July 2014: Workshop Days

Call for Papers: WCCI 2014 Workshop "Computational Energy Management in Smart Grids"

The International Workshop on Computational Energy Management in Smart Grids (CEMiSG 2014) will be held on July 6th, 2014 in Beijing, China as inside the 2014 IEEE World Congress on Computational Intelligence (WCCI 2014). The Workshop is oriented to explore the new frontiers and challenges within the Computational Intelligence research area, including in particular Neural Networks, Evolutionary Computation and Soft Computing based solutions, for the optimal usage and management of energy resources in Smart Grid applicable scenarios. The Workshop will be a proficient discussion table within the WCCI conference, which attracts the most famous researchers in the Computational Intelligence field worldwide.

ORGANIZERS

• Derong Liu, Chinese Academy of Sciences, China
• Stefano Squartini, Università Politecnica delle Marche, Italy
• Francesco Piazza, Università Politecnica delle Marche , Italy
• Dongbin Zhao, Chinese Academy of Sciences, China
• Haibo He, University of Rhode Island, USA

SCOPE

As the world population increases, the sustainable usage of natural resources becomes an issue that humanity and technology are urgently asked to face. Energy represents a relevant example from this perspective and the strong demand coming from developed and developing countries shoved the scientists worldwide to intensify their studies on renewable energy resources. At the same time, due to the increasing complexity of MV and LV distribution grids on which distributed electrical generators based on renewables have to be included, a growing interest has been oriented to the development of smart systems able to optimally manage the usage and the distribution of energy among the population with the objective of minimizing wasting and the economic impact even at family consumption level. This yielded in a flourishing scientific literature on sophisticated algorithms and systems aimed at introducing intelligence within the energy grid, with also several effective solutions already available in the market. The task is surely challenging and multi-faceted. Indeed the different needs of the heterogeneous grid costumers and the different peculiarities of energy sources to be included in the grid itself have to be taken into account. Moreover several ways of intervention are feasible, as the ones indicated in the US Energy Independence and Security Act of 2007 as reference: self-healing capability, fault-tolerance on resisting attack, integration of all energy generation and storage, dynamic optimization of grid operation and resources with full cyber-security, incorporation of demand-response, demand-side resources and energy-efficient resources, actively client participation in the grid operations by providing timely information and control options, improvement of reliability, power quality, security and efficiency of the electricity infrastructure.

A multi-disciplinary coordinated action is required to the scientific communities operating in the Electrical and Electronic engineering, Computational Intelligence, Digital Signal Processing and Telecommunications research fields to provide adequate technological solutions to these issues having in mind the more and more stringent constraints we have to consider in terms of environment sustainability. In particular, the organizers of this Workshop wants to explore the new frontiers and challenges within the Computational Intelligence research area, including in particular Neural Networks, Evolutionary Computation and Soft Computing based solutions, for the optimal usage and management of energy resources in Smart Grid applicative scenarios.

TOPICS

Workshop topics include, but are not limited to:

• Smart Home Energy Management
• Computational Intelligence for Smart Grids
• Learning Systems for Smart Grid Optimization Tasks
• Neural Networks based algorithms for Complex Energy Systems
• Evolutionary Algorithms in Energy Applications
• Soft Computing in Renewable Energy Systems
• Energy Resource and Task Scheduling
• Building Energy Consumption Forecasting
• Demand-side Management
• Short-term Load Forecasting
• Neural Networks for Time Series Prediction in Smart Grid Applications
• Non-intrusive Electrical Load Analysis
• Hybrid Battery Management
• Brain inspired algorithms for Energy Efficiency

TECHNICAL PROGRAMME COMMITTE

• Pietro Burrascano, University of Terni, Italy
• Zhaohui Hu, Chinese Academy of Sciences, China
• Robert John, University of Nottingham, UK
• Elias Kyriadikes, University of Cyprus, Cyprus
• Andrew Kusiak, University of Iowa, USA
• Chengdong Li,  Shandong Jianzhu University, China
• Kang Li, Queen’s University Belfast, UK
• Honghai Liu, University of Portsmouth, UK
• Sauro Longhi, Polytechnic University of Marche, Italy
• Danilo Mandic, Imperial College, UK
• Stephen G. Matthews, University of Bristol, UK
• Michael Negnevitsky, University of Tasmania, Australia
• Peter Palensky, Austrian Institute of Technology, Austria
• Dianwei Qian, North China Electric Power University, China
• Wei Qiao, University of Nebraska–Lincoln, USA
• Manuel Roveri, Polytechnic of Milan, Italy
• Pierluigi Siano, University of Salerno, Italy
• Gerard Smit, University of Twente, Netherlands
• Dipti Srinivasan, National University of Singapore, Singapore
• Zita Vale, Polytechnic of Porto, Portugal
• Qinglai Wei, Chinese Academy of Sciences, China
• Jinyu Wen, Huazhong University of Science and Technology, China

SUBMISSION GUIDELINES

Prospective authors are invited to submit papers according to the IEEE format. All submissions should be according to the specifications of the IEEE WCCI 2014. Manuscripts will be submitted through the IEEE WCCI 2014 paper submission website and will be subject to the same peer-review review procedure as the IEEE WCCI2014 regular papers. Accepted contributions will be part of the IJCNN conference proceedings, which will be available in IEEE Xplore. A Special Issue of the Neurocomputing journal (IF: 1.634) is also foreseen.

IMPORTANT DATES

• Submission deadline: December 20, 2013
• Notification of acceptance: March 15, 2014
• Camera-ready deadline: April 15, 2014
• Workshop date: July 5, 2014