IEEE Transactions on Evolutionary Computation, Volume 19, Number 1, February 2015

1. Adaptive Multiobjective Particle Swarm Optimization Based on Parallel Cell Coordinate System
Author(s): Hu, W. ; Yen, G.G.
Page(s): 1 - 18

2. Characterization of the Performance of Memetic Algorithms for the Automation of Bone Tracking With Fluoroscopy
Author(s): Tersi, L. ; Fantozzi, S. ; Stagni, R.
Page(s): 19 - 30

3. Enhancing Differential Evolution Utilizing Eigenvector-Based Crossover Operator
Author(s): Guo, S. ; Yang, C.
Page(s): 31 - 49

4. A New Local Search-Based Multiobjective Optimization Algorithm
Author(s): Chen, B. ; Zeng, W. ; Lin, Y. ; Zhang, D.
Page(s): 50 - 73

5. Exploratory Landscape Analysis of Continuous Space Optimization Problems Using Information Content
Author(s): Munoz, M.A. ; Kirley, M. ; Halgamuge, S.K.
Page(s): 74 - 87

6. Learning Value Functions in Interactive Evolutionary Multiobjective Optimization
Author(s): Branke, J. ; Greco, S. ; Slowinski, R. ; Zielniewicz, P.
Page(s): 88 - 102

7. The Rolling Tide Evolutionary Algorithm: A Multiobjective Optimizer for Noisy Optimization Problems
Author(s): Fieldsend, J.E. ; Everson, R.M.
Page(s): 103 - 117

8. Optimizing Existing Software With Genetic Programming
Author(s): Langdon, W.B. ; Harman, M.
Page(s): 118 - 135

9. History-Based Topological Speciation for Multimodal Optimization
Author(s): Li, L. ; Tang, K.
Page(s): 136 - 150

10. Intelligent Bandwidth Estimation for Variable Bit Rate Traffic
Author(s): Khan, G.M. ; Arshad, R. ; Mahmud, S.A. ; Ullah, F.
Page(s): 151 - 155

Call for Papers: IEEE WCCI 2016

The IEEE World Congress on Computational Intelligence (IEEE WCCI) is the largest technical event in the field of computational intelligence. The IEEE WCCI 2016 will host three conferences: The 2016 International Joint Conference on Neural Networks (IJCNN 2016), the 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE2016), and the 2016 IEEE Congress on Evolutionary Computation (IEEE CEC 2016) under one roof. It encourages cross-fertilization of ideas among the three big areas and provides a forum for intellectuals from all over theworld to discuss and present their research findings on computational intelligence.

IEEE WCCI 2016 will be held at the Vancouver Convention Centre, Vancouver, Canada. Vancouver is Canada’s Pacific gem, offering a winning combination of world-class hotels, meeting venues, and restaurants in a setting of spectacular beauty. Few convention cities can offer such a wide range of cosmopolitan amenities in a downtown core that is safe, clean, pedestrian friendly, and stunning in its backdrop of mountains and ocean.

IJCNN is the flagship conference of the International Neural Network Society and the IEEE Computational Intelligence Society. It covers a wide range of topics in the field of neural networks, from biological neural network modeling to artificial neural computation.

FUZZ-IEEE is the foremost conference in the field of fuzzy systems. It covers all topics in fuzzy systems, from theory to applications.

IEEE CEC is a major event in the field of evolutionary computation, and covers all topics in evolutionary computation from theory to applications.

Call for Papers

Papers for IEEE WCCI 2016 should be submitted electronically through the Congress website at www.wcci2016.org, and will be refereed by experts in the fields and ranked based on the criteria of originality, significance, quality and clarity.

Call for Tutorials

IEEE WCCI 2016 will feature pre-Congress tutorials, covering fundamental and advanced topics in computational intelligence. A tutorial proposal should include title, outline, expected enrollment, and presenter/organizer biography. Inquiries regarding tutorials should be addressed to Tutorials Chairs.

Call for Special Session Proposals

IEEE WCCI 2016 solicits proposals for special sessions within the technical scope of the three conferences. Special sessions, to be organized by internationally recognized experts, aim to bring together researchers in special focused topics. Cross-fertilization of the three technical disciplines and newly emerging research areas are strongly encouraged. Inquiries regarding special sessions and proposals should be addressed to Special Sessions Chairs.

Call for Competition Proposals

IEEE WCCI 2016 will host competitions to stimulate research in computational intelligence. A competition proposal should include descriptions of the problem(s) addressed, evaluation procedures, and a biography of the organizers. Inquiries regarding competitions should be addressed to the Competitions Chair.

Important Dates

• Special Session & Workshop Proposals Deadline:  15 November 2015
• Competition & Tutorial Proposals Deadline:  15 December 2015 
• Paper Submission Deadline:  15 January 2016 
• Paper Acceptance Notification Date:  15 March 2016 
• Final Paper Submission & Early Registration Deadline:  15 April 2016
• IEEE WCCI 2016:  25-29 July 2016

For more information on the congress, please visit: www.wcci2016.org

Organizing Committee

General Co-Chairs
Kay Chen Tan, Singapore
Gary G. Yen, USA

IJCNN Conference Chair
Pablo A. Estevez, Chile

IJCNN Technical Chairs
Plamen P. Angelov, UK
Emilio Del Moral Hernandez, Brazil
Derong Liu, USA
Lipo Wang, Singapore

FUZZ-IEEE Conference Chair
Oscar Cordon, Spain

FUZZ-IEEE Technical Chairs
James M. Keller, USA
Naoyuki Kubota, Japan
Bernadette R. Bouchon Meunier, France
Nikhil R. Pal, India

CEC Conference Chair
Yew Soon Ong, Singapore

CEC Technical Chairs
Carlos A. Coello Coello, Mexico
Garrison W. Greenwood, USA
Sanaz Mostaghim, Germany
Yuhui Shi, China

Competitions Chair
Simon M. Lucas, UK

Conflict-of-Interest Paper Chairs
Cesare Alippi, Italy
Gary B. Fogel, USA
Hisao Ishibuchi, Japan

Exhibits Chair
Fakhri Karray, Canada

Finance Chair
Haibo He, USA

Local Arrangements Chair
Yifeng Li, Canada

Panel Sessions Chair
Marios M. Polycarpou, Cyprus

Paper Submissions Chair
Ke Tang, China

Plenary Sessions Chair
Chin-Teng Lin, Taiwan

Poster Sessions Chairs
Jong-Hwan Kim, South Korea
Laszlo T. Koczy, Hungary
Yi Zhang, China

Publications Chair
Hussein A. Abbass, Australia

Publicity Chairs
Rami Abielmona, Canada
Valentina E. Balas, Romania
Min Jiang, China
Xiaodong Li, Australia
Dongbin Zhao, China

Registrations Chair
Yaochu Jin, UK

Special Sessions Chairs
Uzay Kaymak, Netherlands
Mengjie Zhang, New Zealand
Zhi-Hua Zhou, China

Student Activities Chair
Dipti Srinivasan, Singapore

Tutorials Chairs
Kalyanmoy Deb, USA
Hani Hagras, UK
Nikola Kasabov, New Zealand

Workshops Chair
Piero P. Bonissone, USA

Call for Papers: Special Session at IJCNN 2015 on Neuro-Adaptive Systems for Big Data and Social Media Analysis

The ever increasing aspect of social networking and deployment of advanced digital sensors, to gather data particularly with high social content has interesting dimensions to be explored. The content variation in the data/media streams poses a challenging task to the data scientists in terms of adaptability required to capture the sense and context of the problem being addressed. The adaptability thus required has to cater multi-faceted issues. These issues pertain to considerations related to the 4V’s of Big Data (Volume, Variety, Velocity and Veracity).

The neuro-adaptive systems have been used in the past to capture the variation and to incorporate adaptiveness within the systems. The aim of this special session is to solicit contributions that are based on statistical learning, lazy learning, artificial neural networks, fuzzy logic based, evolutionary, genetic, knowledge system and adaptive algorithms designed to focus on Big Data, Social Media Analytics especially in the context of the topics listed for the special session.

Topics of interest include, but are not limited to:

• Data Science and Social Analytics
• Emerging Technologies and their Complexities
• Modelling and Visualization
• Parallelization and Distributed Processing
• Personalized Digital Activities
• Opinion Mining and Sentiment Analysis
• Author Profiling, Personality and Behavioral Predictions 
• Ontology Analysis
• Web Content Mining
• Community Structure Prediction
• Trust Recommendation Modeling

Important Dates:

Paper submission: February 5, 2015
Paper decision notification: March 25, 2015
Camera-ready submission: April 25, 2015
Conference days: July 12-17, 2015

Submission:

Authors are invited to submit their papers through the main IJCNN 2015 conference submission system at: http://ieee-cis.org/conferences/ijcnn2015/upload.php

Please make sure to select the Special Session (SS24) under "S. SPECIAL SESSION TOPICS" in the "Main Research topic" drop-down list. Templates and detailed instructions for authors can be found at http://www.ijcnn.org/paper-submission. All papers submitted to the special session will be subject to the same peer-review procedure as regular papers. Accepted papers will be published in the conference proceedings.

Programme Committee:

• Amir Hussain, University of Stirling, UK
• Andrea Bolioli, CELI, Italy
• Arturo Montero, University of Jaen, Spain
• Asim Karim, Lahore University of Management Sciences, LUMS, Pakistan
• Basit Shafiq, Lahore University of Management Sciences, LUMS, Pakistan
• Beatriz Aguilar Cortés, Socialancer, SL., Spain
• Benet María Marcos Casanovas, Socialancer, SL., Spain
• Francisco Casacuberta, PRHLT, Universitat Politècnica de Valencia, Spain
• Francisco Marco-Serrano, GSM London Ltd, United Kingdom
• Giancarlo Ruffo, Netatlas, Italy
• Hai Dong, Royal Melbourne Institute of Technology, Australia
• Jon Ander Gómez, PRHLT Research Center, Universitat Politècnica de València, Spain
• Jon Atle Gulla, Norwegian University of Science and Technology, Norway
• Juan Ramos Balaguer, Money Mate R&D Lab, Spain
• Liaqat Majeed, University of Central Punjab, Pakistan
• Luis Belloch Gómez, Money Mate R&D Lab, Spain
• Mário J. Gaspar da Silva, INESC-ID, Portugal
• Matthew Williams, Cardiff University
• Muhammad Younas, Oxford Brookes University, UK
• Naveed Arshad, Lahore University of Management Sciences, LUMS, Pakistan
• Omar Khadeer Hussain, University of New South Wales Canberra, Australia
• Peter Burnap, Cardiff University
• Rafael Banchs, Institute for Infocomm Research, Singapore
• Roberto Paredes, PRHLT, Universitat Politècnica de Valencia, Spain
• Roman Kern, Know Center, Austria
• Shady Mohammad, Deakin University, Australia
• Shafay Shamail, Lahore University of Management Sciences, LUMS, Pakistan
• Simon Caton, NCC, Dublin, Ireland

Organisers:

Mian M. Awais
Department of Computer Science, Syed Babar Ali School of Science and Engineering, LUMS, Pakistan
Email: awais@lums.edu.pk
http://lums.edu.pk/faculty-details.php/awais

El-Sayed M. El-Alfy
Intelligent Systems Research Group, College of Computer Sciences and Engineering, King Fahd University of Petroleum and Minerals, Saudi Arabia.
Email: alfy@kfupm.edu.sa
http://faculty.kfupm.edu.sa/ics/alfy/ 

Paolo Rosso
Natural Language Engineering Lab, PRHLT Research Center, Universitat
Politècnica de València, Spain.
Email: prosso@dsic.upv.es
http://users.dsic.upv.es/~prosso/

Farookh K. Hussain
Associate Professor,Centre for Quantum Computation and Intelligent Systems, University of Technology Sydney, Australia
Email: farookh.hussain@uts.edu.au
www.uts.edu.au

Omer F Rana
Professor, Computer Science & Informatics,
Cardiff University, Queen's Buildings,5 The Parade, Roath,
Cardiff CF24 3AA, UK
Email: O.F.Rana@cs.cardiff.ac.uk

Francisco Rangel
CTO at Autoritas Consulting
Personal site: http://www.kicorangel.com
Company site: http://www.autoritas.net
Email: francisco.rangel@autoritas.es

IJCNN 2015 Deadline Extension

The paper submission deadline for the International Joint Conference on Neural Networks (IJCNN) 2015 has been extended to February 5, 2015. This extension also applies to submissions to the special sessions.

CFP: Evolutionary Computation Journal (MIT Press) special issue on "Combinatorial Optimization Problems"

Special Issue in Evolutionary Computation Journal, MIT Press, on Combinatorial Optimization Problems

DESCRIPTION

Combinatorial Optimization Problems consist in finding an optimal solution (according to some objective function) from a finite search space. These problems arise in Industry and Academia and, unfortunately, most of them cannot be solved efficiently, that is, they are NP-hard and no polynomial time algorithm is known to solve them. For this reason, in the last decades researches have investigated the use of stochastic search algorithms to find near optimal solutions to these problems. In particular, a great research effort has been devoted to the development of metaheuristic algorithms to solve combinatorial optimization problems.

Successfully solved problems include scheduling, timetabling, network design, transportation and distribution problems, vehicle routing, travelling salesman, graph problems, satisfiability, energy optimization problems, packing problems and planning problems.

Prominent examples of metaheuristics include evolutionary algorithms, simulated annealing, tabu search, scatter search, memetic algorithms, ant colony optimization, particle swarm optimization, variable neighbourhood search, iterated local search, greedy randomized adaptive search procedures, estimation of distribution algorithms, hyperheuristics and hybrid algorithms.

We encourage authors to submit original high-quality research on the application of metaheuristic algorithms to combinatorial optimization problems or theoretical aspects of this application.

SUBMISSION GUIDELINES

All submissions have to be prepared according to the "guidelines for authors" as published in the journal website at http://ecj.fhv.at. Authors should submit their manuscripts to the Evolutionary Computation Editorial Manager at http://ecj.fhv.at . When submitting a paper, please send at the same time an email to Francisco Chicano (chicano@lcc.uma.es) and a copy to ecj@fhv.at mentioning the special issue, the paper title, and author list to inform about the submission.

TENTATIVE SCHEDULE

15 August 2015       submission deadline
15 December 2015     authors notification
15 March 2016        authors’ revisions
1 July 2016          final notification
15 July 2016         final manuscript
Winter 2016          tentative publication

GUEST EDITORS

Francisco Chicano
e-mail: chicano@lcc.uma.es
University of Malaga, Spain

Christian Blum
e-mail: christian.blum@ehu.es
University of the Basque Country, Spain

Gabriela Ochoa
e-mail: gabriela.ochoa@cs.stir.ac.uk
University of Stirling, Scotland, UK

CFP: IEEE TFS Special Issue on "Fuzzy Techniques in Financial Modelling and Simulation"

I. AIMS AND SCOPE

Computational intelligence has attracted a significant and increasing interest from the financial engineering and economics communities in recent years.  Computational systems capturing sentiments, preferences, behaviour and beliefs, are becoming indispensable in virtually all financial applications, from portfolio selection to proprietary trading, algorithmic trading, and risk management.  The bar has been raised with the revision of regulations, and the required compliance and risk management.  The new rules should be implemented through new processes and supported by developing new computational tools.

The fuzzy systems domain provides an armoury of techniques to address the challenges currently encountered in the financial engineering area.  Fuzzy logic can be used to effectively describe and incorporate financial experts’ and market participants’ intuition and behaviour, reaching beyond the capabilities of probabilistic models traditionally used in financial modelling.  In addition, fuzzy techniques can be used in conjunction with probabilistic models or with other machine learning techniques, such as evolutionary optimisation methods or neural networks, in order to better address the challenges raised in this area.

The objective of this special issue is to bring together the most recent advances in the design and application of fuzzy approaches to real problems in financial engineering.  A focus of interest is simulating scenarios at different level of granularity, as well as developing test environments for new financial and banking regulation, while accommodating behavioural aspects.

II. TOPICS COVERED

This special issue solicits original contributions on theoretical developments for financial modelling and simulations based on the following paradigms:

• fuzzy time series         
• fuzzy data mining
• fuzzy intelligent          
• fuzzy optimisation
• decision-making           
• fuzzy systems
• fuzzy granular             
• fuzzy-rough approaches
• computing                   
• evolving fuzzy systems
• neuro-fuzzy systems     
• support vector machines

Application papers of these paradigms to the following financial engineering areas are welcome:

• agent-based artificial financial markets
• financial-regulation test environments
• financial sentiment analysis, emotion mining
• financial scenarios modelling and simulation
• algorithmic trading       
• instruments pricing
• financial forecasting     
• risk management
• contagion analysis        
• systemic risk modelling
• portfolio optimization   
• trading strategies
• behavioural finance      
• finance big data analytics

III. IMPORTANT DATES

July 1, 2015: Submission deadline
Oct. 1, 2015: Notification of the first-round review
Nov. 1, 2015: Revised submission due
Dec. 15, 2015: Final notice of acceptance/reject

IV. SUBMISSION GUIDELINES

Manuscripts should be prepared according to the instruction of the “Information for Authors” section of the journal found and submission should be done through the IEEE TFS journal website: http://mc.manuscriptcentral.com/tfs-ieee Clearly mark “Special Issue on Fuzzy Techniques in Financial Modelling and Simulation” in your cover letter to the Editor-in-Chief. All submitted manuscripts will be reviewed using the standard procedure that is followed for regular submissions.

V. GUEST EDITORS

Ronald Yager
Machine Intelligence Institute
Iona College, USA
ryager@iona.edu

Antoaneta Serguieva
Financial Computing and Analytics Group
University College London, UK
a.serguieva@ucl.ac.uk

Vasile Palade
Faculty of Engineering and Computing
Coventry University, UK
vasile.palade@coventry.ac.uk

Hisao Ishibuchi
Computer Science and Intelligent Systems
Osaka Prefecture University, Japan
hisaoi@cs.osakafu-u.ac.jp

Call for Papers: IEEE 2015 International Conference on Data Science and Advanced Analytics

Preliminary Call for Papers: IEEE 2015 International Conference on Data Science and Advanced Analytics (DSAA 2015)

19-21 October, 2015, Paris, France

Website: http://dsaa2015.lip6.fr/

Important Dates

Paper Submission deadline: 18 May, 2015
Notification of acceptance: 6 July, 2015
Final Camera-ready papers due: 28 August, 2015

Publications

All accepted papers will be published by IEEE and included in the IEEE Xplore Digital Library. The conference proceedings will be submitted for EI indexing through INSPEC by IEEE. Top quality papers accepted and presented at the conference will be selected for extension and publication in the special issues of some international journals, including IEEE Intelligent Systems and WWWJ.

Introduction

Data driven scientific discovery is an important emerging paradigm for computing in areas including social, service, Internet of Things, sensor networks, telecommunications, biology, health-care and cloud. Under this paradigm, Data Science is the core that drives new researches in many areas, from environmental to social. There are many associated scientific challenges, ranging from data capture, creation, storage, search, sharing, modeling, analysis, and visualization. Among the complex aspects to be addressed we mention here the integration across heterogeneous, interdependent complex data resources for real-time decision making, streaming data, collaboration, and ultimately value co-creation. Data science encompasses the areas of data analytics, machine learning, statistics, optimization and managing big data, and has become essential to glean understanding from large data sets and convert data into actionable intelligence, be it data available to enterprises, Government or on the Web.

Following the first successful edition held in 2014 in Shanghai, the 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA 2015) aims to provide a premier forum that brings together researchers, industry practitioners, as well as potential users of big data, for discussion and exchange of ideas on the latest theoretical developments in Data Science as well as on the best practices for a wide range of applications.

DSAA is also technically sponsored by ACM through SIGKDD.

DSAA'2015 will consist of two main Tracks: Research and Application; the Research Track is aimed at collecting contributions related to theoretical foundations of Data Science and Data Analytics. The Application Track is aimed at collecting contributions related to applications of Data Science and Data Analytics in real life scenarios. DSAA solicits then both theoretical and practical works on data science and advanced analytics.

Topics of Interest

General areas of interest to DSAA'2015 include but are not limited to:
1. Foundations

• New mathematical, probabilistic and statistical models and theories
• New machine learning theories, models and systems
• New knowledge discovery theories, models and systems
• Manifold and metric learning, deep learning
• Scalable analysis and learning
• Non-iidness learning
• Heterogeneous data/information integration
• Data pre-processing, sampling and reduction
• High dimensional data, feature selection and feature transformation
• Large scale optimization
• High performance computing for data analytics
• Architecture, management and process for data science

2. Data analytics, machine learning and knowledge discovery

• Learning for streaming data
• Learning for structured and relational data
• Intent and insight learning
• Mining multi-source and mixed-source information
• Mixed-type and structure data analytics
• Cross-media data analytics
• Big data visualization, modeling and analytics
• Multimedia/stream/text/visual analytics
• Relation, coupling, link and graph mining
• Personalization analytics and learning
• Web/online/social/network mining and learning
• Structure/group/community/network mining
• Cloud computing and service data analysis

3. Storage, retrieval and search

• Data warehouses, cloud architectures
• Large-scale databases
• Information and knowledge retrieval
• Information and knowledge retrieval
• Web/social/databases query and search
• Personalized search and recommendation
• Human-machine interaction and interfaces
• Crowdsourcing and collective intelligence

4. Privacy and security

• Security, trust and risk in big data
• Data integrity, matching and sharing
• Privacy and protection standards and policies
• Privacy preserving big data access/analytics
• Social impact

5. Applications, practices, tools and evaluation

• Best practices and lessons
• Data-intensive organizations, business and economy
• Domain-specific applications
• Business/government analytics
• Online/social/living/environment data analysis
• Mobile analytics for hand-held devices
• Quality assessment and interestingness metrics
• Complexity, efficiency and scalability
• Anomaly/fraud/exception/change/event/crisis analysis
• Large-scale recommender and search systems
• Big data representation and visualization
• Large scale application case studies

Organizing Committee

Honorary Chair
Usama Fayyad, Barclays Bank, UK

General Chairs
Longbing Cao, University of Technology Sydney, Australia
Eric Gaussier, University Joseph Fourier, France

Conference Chairs
Olivier Capp, Telecom Paristech, CNRS, France
Wei Wang, University of California at Los Angeles, USA

Research Track Chairs
Patrick Gallinari, University Pierre & Marie Curie, France
James Kwok, Hong Kong University of Science and Technology, China

Application Track Chairs
Gabriella Pasi, Universita degli Studi di Milano Biccoca, Italy
Osmar Zaiane, Univ. of Alberta, Canada