Karthik Sindhya
Cited by
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Multi-objective optimization
K Deb, K Deb
Search methodologies: Introductory tutorials in optimization and decision …, 2013
A surrogate-assisted reference vector guided evolutionary algorithm for computationally expensive many-objective optimization
T Chugh, Y Jin, K Miettinen, J Hakanen, K Sindhya
IEEE Transactions on Evolutionary Computation 22 (1), 129-142, 2016
A hybrid framework for evolutionary multi-objective optimization
K Sindhya, K Miettinen, K Deb
IEEE Transactions on Evolutionary Computation 17 (4), 495-511, 2012
Self-adaptive simulated binary crossover for real-parameter optimization
K Deb, K Sindhya, T Okabe
Proceedings of the 9th annual conference on genetic and evolutionary …, 2007
A survey on handling computationally expensive multiobjective optimization problems with evolutionary algorithms
T Chugh, K Sindhya, J Hakanen, K Miettinen
Soft Computing 23, 3137-3166, 2019
Local search based evolutionary multi-objective optimization algorithm for constrained and unconstrained problems
K Sindhya, A Sinha, K Deb, K Miettinen
2009 IEEE Congress on Evolutionary Computation, 2919-2926, 2009
A survey on handling computationally expensive multiobjective optimization problems using surrogates: non-nature inspired methods
M Tabatabaei, J Hakanen, M Hartikainen, K Miettinen, K Sindhya
Structural and Multidisciplinary Optimization 52, 1-25, 2015
A data-driven surrogate-assisted evolutionary algorithm applied to a many-objective blast furnace optimization problem
T Chugh, N Chakraborti, K Sindhya, Y Jin
Materials and Manufacturing Processes 32 (10), 1172-1178, 2017
A local search based evolutionary multi-objective optimization approach for fast and accurate convergence
K Sindhya, K Deb, K Miettinen
Parallel Problem Solving from Nature–PPSN X: 10th International Conference …, 2008
A new hybrid mutation operator for multiobjective optimization with differential evolution
K Sindhya, S Ruuska, T Haanpää, K Miettinen
Soft Computing 15, 2041-2055, 2011
Improving convergence of evolutionary multi-objective optimization with local search: a concurrent-hybrid algorithm
K Sindhya, K Deb, K Miettinen
Natural Computing 10, 1407-1430, 2011
Hybridization of SBX based NSGA-II and sequential quadratic programming for solving multi-objective optimization problems
D Sharma, A Kumar, K Deb, K Sindhya
2007 IEEE congress on evolutionary computation, 3003-3010, 2007
A preference based interactive evolutionary algorithm for multi-objective optimization: PIE
K Sindhya, AB Ruiz, K Miettinen
Evolutionary Multi-Criterion Optimization: 6th International Conference, EMO …, 2011
Constraint handling in efficient global optimization
S Bagheri, W Konen, R Allmendinger, J Branke, K Deb, J Fieldsend, ...
Proceedings of the genetic and evolutionary computation conference, 673-680, 2017
Surrogate-assisted evolutionary multiobjective shape optimization of an air intake ventilation system
T Chugh, K Sindhya, K Miettinen, Y Jin, T Kratky, P Makkonen
2017 IEEE Congress on Evolutionary Computation (CEC), 1541-1548, 2017
Synchronous R-NSGA-II: an extended preference-based evolutionary algorithm for multi-objective optimization
E Filatovas
Informatica 26 (1), 33-50, 2015
Design of a permanent magnet synchronous generator using interactive multiobjective optimization
K Sindhya, A Manninen, K Miettinen, J Pippuri
IEEE Transactions on Industrial Electronics 64 (12), 9776-9783, 2017
Connections of reference vectors and different types of preference information in interactive multiobjective evolutionary algorithms
J Hakanen, T Chugh, K Sindhya, Y Jin, K Miettinen
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016
On constraint handling in surrogate-assisted evolutionary many-objective optimization
T Chugh, K Sindhya, K Miettinen, J Hakanen, Y Jin
Parallel Problem Solving from Nature–PPSN XIV: 14th International Conference …, 2016
E-NAUTILUS: A decision support system for complex multiobjective optimization problems based on the NAUTILUS method
AB Ruiz, K Sindhya, K Miettinen, F Ruiz, M Luque
European Journal of Operational Research 246 (1), 218-231, 2015
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