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EvoStoc 2014: Call For Papers

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  • Anabela Simões
    CALL FOR PAPERS EvoSTOC 2014 - Evolutionary Algorithms in Stochastic and Dynamic Environments Track of EvoApplications, the 16th European Conference on the
    Message 1 of 10 , Sep 13, 2013
    • 0 Attachment
      CALL FOR PAPERS

      EvoSTOC 2014 - Evolutionary Algorithms in Stochastic and Dynamic
      Environments
      Track of EvoApplications, the 16th European Conference on the
      Applications of Evolutionary Computation

      Part of Evo* 2014

      April 2014, Baeza, Andalucía, Spain

      evo*: http://www.evostar.org
      evoSTOC: http://www.evostar.org/cfpEvoSTOC.html

      *********************************************************************

      Following the success of previous events and the importance of the field
      of evolutionary and bio-inspired computation for dynamic optimization
      problems, the EvoSTOC 2014 will run its 11th edition as a track of
      EvoApplications, the 17th European Conference on the Applications of
      Evolutionary and bio-inspired Computation.


      **** PUBLICATION DETAILS ****

      Submissions will be rigorously reviewed by at least three members of the
      program committee. Accepted papers will be presented orally at the event
      and included in the EvoApplications proceedings, published by Springer
      Verlag in a dedicated volume of the Lecture Notes in Computer Science
      series. Submissions must be original and not published elsewhere. The
      submissions will be peer reviewed. The authors of accepted papers will
      have to improve their paper on the basis of the reviewers’ comments and
      will be asked to send a camera-ready version of their manuscripts. At
      least one author of each accepted work has to register for the
      conference and attend the conference and present the work.



      **** TOPICS OF INTEREST ****

      Many real-world optimisation problems are characterised by some types of
      uncertainty that need to be accounted for by the algorithms used to
      solve the problems. These uncertainties include noise (noisy
      optimisation), approximations (surrogate-assisted optimisation),
      dynamics (dynamic/online optimisation problems) as well as the
      requirements for robust solutions (robust optimisation). Dealing with
      these uncertainties has become increasingly popular in stochastic
      optimisation in recent years and a variety of new techniques have been
      proposed. The objective of EvoSTOC is to foster interest in
      metaheuristics and stochastic optimisation for stochastic and dynamic
      environments and to provide an opportunity for researchers to meet and
      to present and discuss the state-of-the-arts in the field. EvoSTOC
      accepts contributions, both empirical and theoretical in nature, for any
      work relating to nature-inspired, metaheuristics and stochastic
      techniques applied to a domain characterised by one or more types of
      uncertainty.



      Topics of interest include, but are not limited to, any of the
      followings in the realm of nature-inspired, metaheuristics and
      stochastic computation:

      noisy fitness functions

      fitness approximations / surrogate-assisted optimisation

      robust solutions and robust optimisation

      dynamic optimisation problems

      dynamic constrained optimisation problems

      dynamic multi-objective optimisation problems

      co-evolutionary domains

      online optimisation

      online learning

      data analysis in dynamic environments

      dynamic and robust optimisation benchmark problems

      real-world applications characterised by uncertainty and online
      real-world applications

      the applications of nature-inspired, metaheuristics and stochastic
      optimisation on vulnerability and risk analysis/management

      the applications of nature-inspired, metaheuristics and stochastic
      optimisation on reliability and robustness of real-world systems

      optimisation in (video) games and related domains (e.g., dynamical systems)

      theoretical results (e.g., runtime analysis) for stochastic problems



      **** Important Dates (to be confirmed) ****

      Submission: November 1 2013
      Notification to authors: December 2013
      Camera-ready deadline: January 2014
      Evo*: 23-25 April 2014



      **** Additional information and submission details ****

      Submit your manuscript, at most 12 A4 pages long, in Springer LNCS
      format (instructions downloadable
      fromhttp://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0) no
      later than November 1, 2013 (date to be confirmed).
      Submission link: TBA
      Page limit: 12 pages

      The reviewing process will be double-blind; please omit information
      about the authors in the submitted paper.

      Further information on the conference and co-located events can be found
      in: http://www.evostar.org

      **** Programme committee (tentative) ****

      Enrique Alba (University of Malaga, Spain)
      Peter A.N. Bosman (Centre for Mathematics and Computer Science, the
      Netherlands)
      Juergen Branke (University of Warwick, United Kingdom)
      Lam Thu Bui (Le Quy Don Technical University, Vietnam)
      Hui Cheng (University of Bedfordshire, United Kingdom)
      Ernesto Costa (University of Coimbra, Portugal)
      Andries P Engelbrecht (University of Pretoria, South Africa)
      A. Sima Etaner-Uyar (Istanbul Technical University, Turkey)
      Yaochu Jin (University of Surrey, United Kingdom)
      Shayan Kavakeb (Liverpool John Moores University, United Kingdom)
      Changhe Li (China University of Geosciences, China)
      Michalis Mavrovouniotis (De Monfort University, United Kingdom)
      Jorn Mehnen (Cranfield University, United Kingdom)
      Ferrante Neri (De Monfort University, United Kingdom)
      David Pelta (University of Granada, Spain)
      Hendrik Richter (Leipzig University of Applied Sciences, Germany)
      Philipp Rohlfshagen (SolveIT Software, Australia)
      Anabela Simões (Institute Polytechnic of Coimbra, Portugal)
      Renato Tinós (Universidade de São Paulo, Brazil)
      Trung Thanh Nguyen (Liverpool John Moores University, United Kingdom)
      Krzysztof Trojanowski (Polish Academy of Sciences, Poland)
      Shengxiang Yang (De Monfort University, United Kingdom)
      Xin Yao (University of Birmingham, United Kingdom)



      **** Track chairs ****

      Anabela Simões
      Polytechnic Institute of Coimbra, Portugal
      abs(at)isec.pt

      Trung Thanh Nguyen
      Liverpool John Moores University, United Kingdom
      T.T.Nguyen(at)ljmu.ac.uk
    • Anabela Simões
      ***** DEADLINE APPROACHING - 1 NOVEMBER 2013 ******* ** ***** THE VENUE CHANGED TO GRANADA, SPAIN ******** ** ***** PROCEEDINGS PUBLISHED by Springer LNCS
      Message 2 of 10 , Oct 14, 2013
      • 0 Attachment
        **** DEADLINE APPROACHING   ->  1 NOVEMBER 2013 *****

        *** THE VENUE CHANGED TO GRANADA, SPAIN ******

        *** PROCEEDINGS PUBLISHED by Springer LNCS ***

        CALL FOR PAPERS

        EvoSTOC 2014 - Evolutionary Algorithms in Stochastic and Dynamic Environments
        Track of EvoApplications, the 16th European Conference on the Applications of Evolutionary Computation

        Part of Evo* 2014

        April 2014, Granada, Spain

        evo*: http://www.evostar.org
        evoSTOC: http://www.evostar.org/cfpEvoSTOC.html

        *********************************************************************

        Following the success of previous events and the importance of the field of evolutionary and bio-inspired computation for dynamic optimization problems, the EvoSTOC 2014 will run its 11th edition as a track of EvoApplications, the 17th European Conference on the Applications of Evolutionary and bio-inspired Computation.


        **** PUBLICATION DETAILS ****

        Submissions will be rigorously reviewed by at least three members of the program committee. Accepted papers will be presented orally at the event and included in the EvoApplications proceedings, published by Springer Verlag in a dedicated volume of the Lecture Notes in Computer Science series. Submissions must be original and not published elsewhere. The submissions will be peer reviewed. The authors of accepted papers will have to improve their paper on the basis of the reviewers’ comments and will be asked to send a camera-ready version of their manuscripts. At least one author of each accepted work has to register for the conference and attend the conference and present the work.



        **** TOPICS OF INTEREST ****

        Many real-world optimisation problems are characterised by some types of uncertainty that need to be accounted for by the algorithms used to solve the problems. These uncertainties include noise (noisy optimisation), approximations (surrogate-assisted optimisation), dynamics (dynamic/online optimisation problems) as well as the requirements for robust solutions (robust optimisation). Dealing with these uncertainties has become increasingly popular in stochastic optimisation in recent years and a variety of new techniques have been proposed. The objective of EvoSTOC is to foster interest in metaheuristics and stochastic optimisation for stochastic and dynamic environments and to provide an opportunity for researchers to meet and to present and discuss the state-of-the-arts in the field. EvoSTOC accepts contributions, both empirical and theoretical in nature, for any work relating to nature-inspired, metaheuristics and stochastic techniques applied to a domain characterised by one or more types of uncertainty.



        Topics of interest include, but are not limited to, any of the followings in the realm of nature-inspired, metaheuristics and stochastic computation:
         - noisy fitness functions
         - fitness approximations / surrogate-assisted optimisation
         - robust solutions and robust optimisation
         - dynamic optimisation problems
         - dynamic constrained optimisation problems
         - dynamic multi-objective optimisation problem s
         - co-evolutionary domains
         - online optimisation
         - online learning
         - data analysis in dynamic environments
         - dynamic and robust optimisation benchmark problems
         - real-world applications characterised by uncertainty and online real-world applications
         - the applications of nature-inspired, metaheuristics and stochastic optimisation on vulnerability and risk analysis/management
         - the applications of nature-inspired, metaheuristics and stochastic optimisation on reliability and robustness of real-world systems
         - optimisation in (video) games and related domains (e.g., dynamical systems)
         - theoretical results (e.g., runtime analysis) for stochastic problems

        **** Important Dates  ****

        Submission: November 1 2013
        Notification to authors: December 2013
        Camera-ready deadline: January 2014
        Evo*: 23-25 April 2014


        **** Additional information and submission details ****

        Submit your manuscript, at most 12 A4 pages long, in Springer LNCS format (instructions downloadable fromhttp://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0) no later than November 1, 2013
        Submission link: http://myreview.csregistry.org/evoapps14/
        Page limit: 12 pages

        The reviewing process will be double-blind; please omit information about the authors in the submitted paper.

        Further information on the conference and co-located events can be found in: http://www.evostar.org

        **** Programme committee  ****

        Enrique Alba (University of Malaga, Spain)
        Peter A.N. Bosman (Centre for Mathematics and Computer Science, the Netherlands)
        Juergen Branke (University of Warwick, United Kingdom)
        Lam Thu Bui (Le Quy Don Technical University, Vietnam)
        Hui Cheng (University of Bedfordshire, United Kingdom)
        Ernesto Costa (University of Coimbra, Portugal)
        Andries P Engelbrecht (University of Pretoria, South Africa)
        A. Sima Etaner-Uyar (Istanbul Technical University, Turkey)
        Yaochu Jin (University of Surrey, United Kingdom)
        Shayan Kavakeb (Liverpool John Moores University, United Kingdom)
        Changhe Li (China University of Geosciences, China)
        Michalis Mavrovouniotis (De Monfort University, United Kingdom)
        Jorn Mehnen (Cranfield University, United Kingdom)
        Ferrante Neri (De Monfort University, United Kingdom)
        David Pelta (University of Granada, Spain)
        Hendrik Richter (Leipzig University of Applied Sciences, Germany)
        Philipp Rohlfshagen (SolveIT Software, Australia)
        Anabela Simões (Institute Polytechnic of Coimbra, Portugal)
        Renato Tinós (Universidade de São Paulo, Brazil)
        Trung Thanh Nguyen (Liverpool John Moores University, United Kingdom)
        Krzysztof Trojanowski (Polish Academy of Sciences, Poland)
        Shengxiang Yang (De Monfort University, United Kingdom)
        Xin Yao (University of Birmingham, United Kingdom)



        **** Track chairs ****

        Anabela Simões
        Polytechnic Institute of Coimbra, Portugal
        abs(at)isec.pt

        Trung Thanh Nguyen
        Liverpool John Moores University, United Kingdom
        T.T.Nguyen(at)ljmu.ac.uk


        --
        --

        *************************************************************************
        Anabela Simões
        Departamento de Engenharia Informática e de Sistemas
        Instituto Superior de Engenharia de Coimbra
        Rua Pedro Nunes - Quinta da Nora
        3030-199 COIMBRA

        http://eden.dei.uc.pt/~abs
        http://www.facebook.com/anabela.simoes
        abs@...                                    abs@...
        *************************************************************************

      • Anabela Simões
        The*Submission Deadline*has been*extended*to the*_11th November 2013_.*This will be the only extension. ***** DEADLINE EXTENDED - 11 NOVEMBER 2013 *******
        Message 3 of 10 , Oct 25, 2013
        • 0 Attachment
          The Submission Deadline has been extended  to the 11th November 2013. This will be the only extension.

          **** DEADLINE EXTENDED   ->  11 NOVEMBER 2013 *****

          *** THE VENUE CHANGED TO GRANADA, SPAIN ******

          *** PROCEEDINGS PUBLISHED by Springer LNCS ***

          CALL FOR PAPERS

          EvoSTOC 2014 - Evolutionary Algorithms in Stochastic and Dynamic Environments
          Track of EvoApplications, the 16th European Conference on the Applications of Evolutionary Computation

          Part of Evo* 2014

          April 2014, Granada, Spain

          evo*: http://www.evostar.org
          evoSTOC: http://www.evostar.org/cfpEvoSTOC.html

          *********************************************************************

          Following the success of previous events and the importance of the field of evolutionary and bio-inspired computation for dynamic optimization problems, the EvoSTOC 2014 will run its 11th edition as a track of EvoApplications, the 17th European Conference on the Applications of Evolutionary and bio-inspired Computation.


          **** PUBLICATION DETAILS ****

          Submissions will be rigorously reviewed by at least three members of the program committee. Accepted papers will be presented orally at the event and included in the EvoApplications proceedings, published by Springer Verlag in a dedicated volume of the Lecture Notes in Computer Science series. Submissions must be original and not published elsewhere. The submissions will be peer reviewed. The authors of accepted papers will have to improve their paper on the basis of the reviewers’ comments and will be asked to send a camera-ready version of their manuscripts. At least one author of each accepted work has to register for the conference and attend the conference and present the work.



          **** TOPICS OF INTEREST ****

          Many real-world optimisation problems are characterised by some types of uncertainty that need to be accounted for by the algorithms used to solve the problems. These uncertainties include noise (noisy optimisation), approximations (surrogate-assisted optimisation), dynamics (dynamic/online optimisation problems) as well as the requirements for robust solutions (robust optimisation). Dealing with these uncertainties has become increasingly popular in stochastic optimisation in recent years and a variety of new techniques have been proposed. The objective of EvoSTOC is to foster interest in metaheuristics and stochastic optimisation for stochastic and dynamic environments and to provide an opportunity for researchers to meet and to present and discuss the state-of-the-arts in the field. EvoSTOC accepts contributions, both empirical and theoretical in nature, for any work relating to nature-inspired, metaheuristics and stochastic techniques applied to a domain characterised by one or more types of uncertainty.



          Topics of interest include, but are not limited to, any of the followings in the realm of nature-inspired, metaheuristics and stochastic computation:
           - noisy fitness functions
           - fitness approximations / surrogate-assisted optimisation
           - robust solutions and robust optimisation
           - dynamic optimisation problems
           - dynamic constrained optimisation problems
           - dynamic multi-objective optimisation problem s
           - co-evolutionary domains
           - online optimisation
           - online learning
           - data analysis in dynamic environments
           - dynamic and robust optimisation benchmark problems
           - real-world applications characterised by uncertainty and online real-world applications
           - the applications of nature-inspired, metaheuristics and stochastic optimisation on vulnerability and risk analysis/management
           - the applications of nature-inspired, metaheuristics and stochastic optimisation on reliability and robustness of real-world systems
           - optimisation in (video) games and related domains (e.g., dynamical systems)
           - theoretical results (e.g., runtime analysis) for stochastic problems

          **** Important Dates  ****

          Submission: November 1 2013
          Notification to authors: December 2013
          Camera-ready deadline: January 2014
          Evo*: 23-25 April 2014


          **** Additional information and submission details ****

          Submit your manuscript, at most 12 A4 pages long, in Springer LNCS format (instructions downloadable fromhttp://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0) no later than November 1, 2013
          Submission link: http://myreview.csregistry.org/evoapps14/
          Page limit: 12 pages

          The reviewing process will be double-blind; please omit information about the authors in the submitted paper.

          Further information on the conference and co-located events can be found in: http://www.evostar.org

          **** Programme committee  ****

          Enrique Alba (University of Malaga, Spain)
          Peter A.N. Bosman (Centre for Mathematics and Computer Science, the Netherlands)
          Juergen Branke (University of Warwick, United Kingdom)
          Lam Thu Bui (Le Quy Don Technical University, Vietnam)
          Hui Cheng (University of Bedfordshire, United Kingdom)
          Ernesto Costa (University of Coimbra, Portugal)
          Andries P Engelbrecht (University of Pretoria, South Africa)
          A. Sima Etaner-Uyar (Istanbul Technical University, Turkey)
          Yaochu Jin (University of Surrey, United Kingdom)
          Shayan Kavakeb (Liverpool John Moores University, United Kingdom)
          Changhe Li (China University of Geosciences, China)
          Michalis Mavrovouniotis (De Monfort University, United Kingdom)
          Jorn Mehnen (Cranfield University, United Kingdom)
          Ferrante Neri (De Monfort University, United Kingdom)
          David Pelta (University of Granada, Spain)
          Hendrik Richter (Leipzig University of Applied Sciences, Germany)
          Philipp Rohlfshagen (SolveIT Software, Australia)
          Anabela Simões (Institute Polytechnic of Coimbra, Portugal)
          Renato Tinós (Universidade de São Paulo, Brazil)
          Trung Thanh Nguyen (Liverpool John Moores University, United Kingdom)
          Krzysztof Trojanowski (Polish Academy of Sciences, Poland)
          Shengxiang Yang (De Monfort University, United Kingdom)
          Xin Yao (University of Birmingham, United Kingdom)



          **** Track chairs ****

          Anabela Simões
          Polytechnic Institute of Coimbra, Portugal
          abs(at)isec.pt

          Trung Thanh Nguyen
          Liverpool John Moores University, United Kingdom
          T.T.Nguyen(at)ljmu.ac.uk
          -- 
          
          *************************************************************************
          Anabela Simões
          Departamento de Engenharia Informática e de Sistemas
          Instituto Superior de Engenharia de Coimbra
          Rua Pedro Nunes - Quinta da Nora
          3030-199 COIMBRA
          
          http://eden.dei.uc.pt/~abs
          http://www.facebook.com/anabela.simoes
          abs@...                                    abs@...
          *************************************************************************
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