FiDiPro Project DeCoMo: Decision Support for Complex Multiobjective Optimization Problems

    Publications in the project

  1. T. Chugh, Y. Jin, K. Miettinen, J. Hakanen, K. Sindhya, A Surrogate-Assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization, IEEE Transactions on Evolutionary Computation, 22(1), 129-142, 2018. Avialable at JYX
  2. T. Chugh. Handling expensive multiobjective optimization problems with evolutionary algorithms. PhD thesis, 2017. Jyväskylä studies in computing 263. Available at JYX
  3. T. Chugh, K. Sindhya, J. Hakanen and K. Miettinen. A survey on handling computationally expensive multiobjective optimization problems with evolutionary algorithms. Soft Computing, to appear, DOI: 10.1007/s00500-017-2965-0
  4. T. Chugh, K. Sindhya, K. Miettinen, Y. Jin, T. Kratky and P. Makkonen. Surrogate-assisted evolutionary multiobjective shape optimization of an air intake system. In Proceedings of 2017 IEEE Congress on Evolutionary Computation (CEC), IEEE, 1541-1548, 2017 (The article won the best student paper award in IEEE CEC 2017) JYX version
  5. K. Sindhya and J. Hakanen. Interactive Inverse Modeling Based Multiobjective Evolutionary Algorithm, In: Proceedings of the the EUROGEN 2015, International Conference on Evolutionary and Deterministic Methods for Design Optimization and Control with Applications to Industrial and Societal Problems, Springer, to appear
  6. T. Chugh , N. Chakraborti, K. Sindhya, and Y. Jin. A data-driven surrogate-assisted evolutionary algorithm applied to a many-objective blast furnace optimization problem, Materials and Manufacturing Processes, 32, 1172-1178, 2017 Available at JYX
  7. J. Hakanen and J. Knowles. On using decision maker preferences with ParEGO. In "EMO 2017", Springer, 282-297, 2017, EMO 2017, 9th International Conference on Evolutionary Multi-Criterion Optimization, Springer, 282-297, 2017 Available at JYX
  8. J. Hakanen, T. Chugh , K. Sindhya, Y. Jin and K.Miettinen. Connections of Reference Vectors and Different Types of Preference Information in Interactive Multiobjective Evolutionary Algorithms , in "IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016)", IEEE, 1-8, 2016
  9. T. Chugh, K. Sindhya, K.Miettinen, J. Hakanen and Y. Jin. On Constraint Handling in Surrogate-Assisted Evolutionary Many-Objective Optimization , in "14th International Conference on Parallel Problem Solving from Nature, Edinburg, UK, 2016 Proceedings", Springer, 214-224, 2016 Available at JYX
  10. T. Chugh, K. Sindhya, J. Hakanen, K. Miettinen. An interactive simple indicator-based evolutionary algorithm (I-SIBEA) for multiobjective optimization problems. In Proceedings of Evolutionary Multi-Criterion Optimization (EMO), Springer, 277-291, 2015.