Evolutionary Computation in Dynamic and Uncertain Environments
  
  
  Many real-world optimization problems are subjected 
to dynamic and uncertain environments that are often impossible to avoid 
in practice. For instance, the fitness function is uncertain or noisy as 
a result of simulation/measurement errors or approximation errors (in the 
case where surrogates are used in place of the computationally expensive 
high fidelity fitness function). In addition, the design variables or 
environmental conditions may also perturb or change over time. For 
these dynamic and uncertain optimization problems, the objective of 
the evolutionary algorithm is no longer to simply locate the global 
optimum solution, but to continuously track the optimum in dynamic 
environments, or to find a robust solution that operates optimally 
in the presence of uncertainties. This poses serious challenges to 
conventional evolutionary algorithms. 
Handling dynamic and uncertain optimization problems in evolutionary 
computation has received an increasing research interests over the recent 
years. A variety of methods have been reported across a broad range of 
application backgrounds. Topics of interest include but are not limited 
to: 
 
   - Benchmark problems and performance measures
 
   - Tracking moving optima
 
   - Dynamic multi-objective optimization
 
   - Adaptation, learning, and anticipation
 
   - Handling noisy fitness functions
 
   - Using fitness approximations
 
   - Searching for robust optimal solutions
 
   - Comparative studies
 
   - Hybrid approaches
 
   - Theoretical analysis
 
   - Real-world applications
 
  
 
  
  
  
  
  
  
    
  
  
  
    
  
  
  
  
    - Y. Jin, S. Yang, and R. Polikar (co-chairs), IEEE Symposium on 
      Computational Intelligence in Dynamic and Uncertain Environments 
      (CIDUE 2011), 
      part of IEEE Symposium Series on Computational Intelligence 
      (IEEE SSCI 2011), 
      Halle aux Farines, Paris, France, 11-15 April, 2011.
 
    - D. A. Pelta, S. Yang, and Y. Jin (co-chairs), Special Session on 
      Evolutionary Computation in Dynamic and Uncertain Environments 
      (ECiDUE10)
      part of IEEE WCCI 2010, Barcelona, 
      Spain, 18-23 July, 2010.
 
    - S. Yang, H.-G. Beyer, Y. Jin, and P. N. Suganthan (co-chairs), 
      Special Session on Evolutionary Computation in Dynamic and Uncertain 
      Environments (ECiDUE09), part of 
      CEC-2009, Trondheim, Norway, 
      18-21 May, 2009.
 
    - C.-K. Goh, A. P. Engelbrecht, S. Yang, and K. C. Tan (co-chairs), 
      Special Session on Evolutionary Computation in Uncertain Environments 
      (ECiDUE08), part of WCCI-2008, 
      Hong Kong, 1-6 June, 2008.
 
    - A. P. Engelbrecht, S. Yang, and Y. Jin (co-chairs), Special Session on 
      Evolutionary Computation in Dynamic and Uncertain Environments (ECiDUE07), 
      part of CEC-2007, Singapore, 
      25-28 September, 2007.
 
    - S. Yang and Y. Jin (co-chairs), 
      Special Session on Evolutionary Computation in Dynamic and Uncertain 
      Environments (ECiDUE06), part of WCCI-2006, 
      Vancouver, Canada, 16-21 July, 2006.
 
    - S. Yang and Y.-S. Ong (co-chairs), 
      Special Session on Evolutionary Computation in Dynamic and 
      Uncertain Environments (ECiDUE05), part of CEC-2005, 
      Edinburgh, UK, 2-5 September, 2005.
 
    - S. Yang and J. Branke (co-chairs), 
      Special Session on Evolutionary Optimization in Dynamic Environments 
      (EODE04), part of CEC-2004, Portland, USA, 19-23 June 2004.
 
    - S. Yang and F. Neri (co-chairs), 
      the 6th European Workshop on Evolutionary Algorithms in Stochastic and 
      Dynamic Environments (EvoSOTC2009), 
      part of EvoWorkshops 2009, 
      Tübingen, Germany, 15-17 April, 2009.
 
    - S. Uyar and S. Yang (co-chairs), 
      The 5th European Workshop on Evolutionary Algorithms in Stochastic and 
      Dynamic Environments (EvoSTOC2008), part of 
      EvoWorkshops 2008, 
      Napoli, Italy, 26-28 March, 2008.
 
    - S. Uyar and S. Yang (co-chairs), 
      The 4th European Workshop on Evolutionary Algorithms in Stochastic 
      and Dynamic Environments (EvoSOTC2007), part of EvoWorkshops 2007,
      Valencia, Spain, 11-13 April, 2007.
 
    - J. Branke and E. Costa (co-chairs), 
      The 3rd European Workshop on Evolutionary Algorithms in Stochastic 
      and Dynamic Environments (EvoSOTC2006), part of EvoWorkshops 2006, 
      Budapest, Hungary, 10-12 April, 2006
 
    - J. Branke and Y. Jin (co-chairs), 
      The 2nd European Workshop on Evolutionary Algorithms in Stochastic 
      and Dynamic Environments (EvoSOTC2005), part of EvoWorkshops 2005, 
      Lausanne, Switzerland, March 30-April 1, 2005
 
    - J. Branke and Y. Jin (co-chairs), 
      The 1st European Workshop on Evolutionary Algorithms in Stochastic 
      and Dynamic Environments (EvoSOTC2004), part of EvoWorkshops 2004,  
      Coimbra, Portugal, 5-7 April 2004.
 
    - P. A. N. Bosman and J. Branke (co-chairs), 
      The 5th Workshop on Evolutionary Algorithms for Dynamic Optimization Problems, 
      part of GECCO-2007, 
      London, UK, 7-11 July, 2007.
 
    - S. Yang and J. Branke (co-chairs), 
      The 4th Workshop on Evolutionary Algorithms for Dynamic Optimization Problems, 
      part of GECCO-2005, 
      Washington DC, USA, 25-29 June, 2005.
 
    - J. Branke (chair), 
      The 3rd Workshop on Evolutionary Algorithms for Dynamic Optimization Problems, 
      part of GECCO-2003, 
      Chicago, USA, 12-16 July, 2003.
 
    - J. Branke and T. Baeck (co-chairs), 
      The 2nd Workshop on Evolutionary Algorithms for Dynamic Optimization Problems, 
      part of GECCO-2001, 
      San Francisco, USA, 7-11 July, 2001.
 
    - J. Branke and T. Baeck (co-chairs),  
      The 1st Workshop on Evolutionary Algorithms for Dynamic Optimization Problems, 
      part of GECCO-1999, 
      Orlando, Florida, 13-17 July, 1999.
 
   
  
  
  
  
    - S. Yang, Y.-S. Ong, and Y. Jin (editors), 
      
      Evolutionary Computation in Dynamic and Uncertain Environments, in the book 
      series Studies in Computational Intelligence, vol. 51, Springer-Verlag Berlin 
      Heidelberg, 2007.
 
    - W. Weicker (author), Evolutionary Algorithms abd Dynamic Optimization Problems,
      Berlin, Germany: Der Andere Verlag, 2003.
 
    - R. W. Morrison (author), Designing Evolutionary Algorithms for Dynamic Environments,
      Springer-Verlag, 2004.
 
    - J. Branke (author), Evolutionary Optimization in Dynamic Environments, Kluwer 
      Academic Publishers, 2002.
 
    - S. Yang, Y.-S. Ong, and Y. Jin (guest-editors), 
      Special Issue on Evolutionary Computation in Dynamic and Uncertain 
      Environments, Genetic Programming and Evolvable Machines, 
      vol. 7, no. 4, December 2006.
 
    - Y. Jin and J. Branke (guest-editors), Special Issue on Evolutionary 
      Optimization in the Presence of Uncertainties, IEEE Transactions on 
      Evolutionary Computation, vol. 10, no. 4, August 2006.
 
    - J. Branke (guest-editor), Special Issue on Dynamic Optimization Problems, 
      Soft Computing, vol. 9, no. 11, November 2005.
 
   
  
  
  
  
    - The Task Force on Evolutionary Computation in Dynamic and Uncertain 
      Environments 
      (ECiDUE), 
      Technical Committee on Evolutionary Computation, IEEE Computational 
      Intelligence Society (IEEE CIS).
    
 
    - The UK EPSRC Project on 
      Evolutionary 
      Algorithms for Dynamic Optimisation Problems: Design, Analysis and 
      Applications, a joint project between University of Leicester, 
      University of Birmingham, BT, and Honda.
 
    - A tutorial on Fitness Approximation 
      in Evolutionary Computation by Yaochu Jin and Khaled Rasheed on GECCO'05, 
      June 26, Washington D.C., 2005
 
    - A tutorial on Evolutionary Computation in 
      Dynamic and Uncertain Environments by Yaochu Jin on CEC'04, Portland, USA,
      July 2004 
 
    - A survey paper on Evolutionary Optimization in 
      Uncertain Environments by Yaochu Jin and Juergen Branke. Published in 
      IEEE Transactions on Evolutionary Computation, 9(3): 303-317, 2005
 
    - A survey paper on Fitness Approximation in Evolutionary
      Computation by Yaochu Jin. Published in  Soft Computing, 9(1):3-12, 2005
 
    - A bibliography on Evolutionary 
      Computation with Approximate Fitness Functions
 
    - A bibliography on Evolutionary 
      Optimization in/for Noisy Environments 
 
    - A bibliography on  
      Evolutionary Algorithms for Dynamic Optimization Problems
 
   
  
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