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EvoStoc 2014: First Call For Papers

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  • Anabela Simões
    ********************************************************************* CALL FOR PAPERS EvoSTOC 2014 - Evolutionary Algorithms in Stochastic and Dynamic
    Message 1 of 10 , Jul 18, 2013
    • 0 Attachment

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

      CALL FOR PAPERS

       

      EvoSTOC 2014 - Evolutionary Algorithms in Stochastic and Dynamic Environments

      Track of EvoApplications, the 17th 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
      CALL FOR PAPERS EvoSTOC 2014 - Evolutionary Algorithms in Stochastic and Dynamic Environments Track of EvoApplications, the 16th European Conference on the
      Message 2 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 3 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 4 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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