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Karthik Sindhya
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2010 – 2019
- 2019
- [j11]Mohammad Tabatabaei, Markus Hartikainen, Karthik Sindhya, Jussi Hakanen, Kaisa Miettinen:
An interactive surrogate-based method for computationally expensive multiobjective optimisation. J. Oper. Res. Soc. 70(6): 898-914 (2019) - [j10]Tinkle Chugh
, Karthik Sindhya, Jussi Hakanen, Kaisa Miettinen:
A survey on handling computationally expensive multiobjective optimization problems with evolutionary algorithms. Soft Comput. 23(9): 3137-3166 (2019) - 2018
- [j9]Tinkle Chugh
A Surrogate-Assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization. IEEE Trans. Evol. Comput. 22(1): 129-142 (2018) - 2017
- [j8]Dimo Brockhoff, Joshua D. Knowles
Editorial. Comput. Oper. Res. 79: 264-265 (2017) - [j7]Karthik Sindhya
Design of a Permanent Magnet Synchronous Generator Using Interactive Multiobjective Optimization. IEEE Trans. Ind. Electron. 64(12): 9776-9783 (2017) - [c11]Tinkle Chugh
Surrogate-assisted evolutionary multiobjective shape optimization of an air intake ventilation system. CEC 2017: 1541-1548 - [c10]Samineh Bagheri, Wolfgang Konen
Constraint handling in efficient global optimization. GECCO 2017: 673-680 - 2016
- [c9]Tinkle Chugh
On Constraint Handling in Surrogate-Assisted Evolutionary Many-Objective Optimization. PPSN 2016: 214-224 - [c8]Jussi Hakanen, Tinkle Chugh
Connections of reference vectors and different types of preference information in interactive multiobjective evolutionary algorithms. SSCI 2016: 1-8 - 2015
- [j6]Ana Belen Ruiz
E-NAUTILUS: A decision support system for complex multiobjective optimization problems based on the NAUTILUS method. Eur. J. Oper. Res. 246(1): 218-231 (2015) - [j5]Ernestas Filatovas, Olga Kurasova, Karthik Sindhya:
Synchronous R-NSGA-II: An Extended Preference-Based Evolutionary Algorithm for Multi-Objective Optimization. Informatica 26(1): 33-50 (2015) - [c7]Tinkle Chugh
An Interactive Simple Indicator-Based Evolutionary Algorithm (I-SIBEA) for Multiobjective Optimization Problems. EMO (1) 2015: 277-291 - 2014
- [j4]Karthik Sindhya, Vesa Ojalehto, Jouni Savolainen, Hannu Niemistö, Jussi Hakanen, Kaisa Miettinen
Coupling dynamic simulation and interactive multiobjective optimization for complex problems: An APROS-NIMBUS case study. Expert Syst. Appl. 41(5): 2546-2558 (2014) - 2013
- [j3]Karthik Sindhya, Kaisa Miettinen
A Hybrid Framework for Evolutionary Multi-Objective Optimization. IEEE Trans. Evol. Comput. 17(4): 495-511 (2013) - 2011
- [j2]Karthik Sindhya, Kalyanmoy Deb, Kaisa Miettinen
Improving convergence of evolutionary multi-objective optimization with local search: a concurrent-hybrid algorithm. Nat. Comput. 10(4): 1407-1430 (2011) - [j1]Karthik Sindhya, Sauli Ruuska, Tomi Haanpää, Kaisa Miettinen
A new hybrid mutation operator for multiobjective optimization with differential evolution. Soft Comput. 15(10): 2041-2055 (2011) - [c6]Karthik Sindhya, Ana Belen Ruiz
A Preference Based Interactive Evolutionary Algorithm for Multi-objective Optimization: PIE. EMO 2011: 212-225
2000 – 2009
- 2009
- [c5]Karthik Sindhya, Ankur Sinha, Kalyanmoy Deb, Kaisa Miettinen
Local search based evolutionary multi-objective optimization algorithm for constrained and unconstrained problems. IEEE Congress on Evolutionary Computation 2009: 2919-2926 - 2008
- [c4]Kalyanmoy Deb, Karthik Sindhya:
Deciphering innovative principles for optimal electric brushless D.C. permanent magnet motor design. IEEE Congress on Evolutionary Computation 2008: 2283-2290 - [c3]Karthik Sindhya, Kalyanmoy Deb, Kaisa Miettinen
A Local Search Based Evolutionary Multi-objective Optimization Approach for Fast and Accurate Convergence. PPSN 2008: 815-824 - 2007
- [c2]Deepak Sharma
Hybridization of SBX based NSGA-II and sequential quadratic programming for solving multi-objective optimization problems. IEEE Congress on Evolutionary Computation 2007: 3003-3010 - [c1]Kalyanmoy Deb, Karthik Sindhya, Tatsuya Okabe:
Self-adaptive simulated binary crossover for real-parameter optimization. GECCO 2007: 1187-1194
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