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Jonas Mockus
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2010 – 2019
- 2017
 [j20]Jonas Mockus, Remigijus Paulavicius [j20]Jonas Mockus, Remigijus Paulavicius , Dainius Rusakevicius , Dainius Rusakevicius , Dmitrij Sesok , Dmitrij Sesok , Julius Zilinskas , Julius Zilinskas : :
 Application of Reduced-set Pareto-Lipschitzian Optimization to truss optimization. J. Glob. Optim. 67(1-2): 425-450 (2017)
- 2016
 [p1]Jonas Mockus, Lina Pupeikiene: [p1]Jonas Mockus, Lina Pupeikiene:
 Investigation of Data Regularization and Optimization of Timetables by Lithuanian High Schools Example. Advances in Stochastic and Deterministic Global Optimization 2016: 167-180
- 2014
 [j19]Jonas Mockus, Igor Katin, Joana Katina: [j19]Jonas Mockus, Igor Katin, Joana Katina:
 On the Optimization of Investment Strategies in the Context of Virtual Financial Market by the Individual Approach to Risk. Informatica 25(2): 241-264 (2014)
- 2012
 [j18]Jonas Mockus: [j18]Jonas Mockus:
 On Simulation of the Nash Equilibrium in the Stock Exchange Contest. Informatica 23(1): 77-104 (2012)
 [j17]Jonas Mockus, Lina Pupeikiene: [j17]Jonas Mockus, Lina Pupeikiene:
 On Multi-Start Algorithms for Optimization of High School Timetables. Informatica 23(3): 405-425 (2012)
 [j16]Jonas Mockus, Rimantas Belevicius [j16]Jonas Mockus, Rimantas Belevicius , Dmitrij Sesok , Dmitrij Sesok , Juozas Kaunas, Darius Maciunas , Juozas Kaunas, Darius Maciunas : :
 On Bayesian Approach to Grillage Optimization. Inf. Technol. Control. 41(4): 332-339 (2012)
- 2011
 [j15]Jonas Mockus: [j15]Jonas Mockus:
 On the Pareto Optimality in the Context of Lipschitzian Optimization. Informatica 22(4): 521-536 (2011)
- 2010
 [j14]Jonas Mockus: [j14]Jonas Mockus:
 On examples of E-education environment for distance graduate studies. Comput. Appl. Eng. Educ. 18(2): 331-343 (2010)
 [j13]Jonas Mockus, Aistis Raudys: [j13]Jonas Mockus, Aistis Raudys:
 On the Efficient-Market Hypothesis and stock exchange game model. Expert Syst. Appl. 37(8): 5673-5681 (2010)
 [j12]Jonas Mockus: [j12]Jonas Mockus:
 On simulation of optimal strategies and Nash equilibrium in the financial market context. J. Glob. Optim. 48(1): 129-143 (2010)
2000 – 2009
- 2009
 [j11]Jonas Mockus: [j11]Jonas Mockus:
 Optimal inspection model as an example for graduate level distance studies. Comput. Appl. Eng. Educ. 17(3): 340-350 (2009)
 [j10]Jonas Mockus: [j10]Jonas Mockus:
 A Web-Based Bimatrix Game Optimization Model of Polynomial Complexity. Informatica 20(1): 79-98 (2009)
 [r1]Jonas Mockus: [r1]Jonas Mockus:
 Bayesian Global Optimization. Encyclopedia of Optimization 2009: 183-187
- 2008
 [j9]Jonas Mockus: [j9]Jonas Mockus:
 Investigation of Examples of E-education Environment for Scientific Collaboration and Distance Graduate Studies. Part 2. Informatica 19(1): 45-62 (2008)
- 2006
 [j8]Jonas Mockus: [j8]Jonas Mockus:
 Investigation of Examples of E-Education Environment for Scientific Collaboration and Distance Graduate Studies, Part 1. Informatica 17(2): 259-278 (2006)
 [j7]Jonas Mockus: [j7]Jonas Mockus:
 A System for Distance Studies and Applications of Metaheuristics. J. Glob. Optim. 35(4): 637-651 (2006)
- 2004
 [j6]Jonas Mockus: [j6]Jonas Mockus:
 Walras Competition Model, an Example of Global Optimization. Informatica 15(4): 525-550 (2004)
- 2002
 [j5]Jonas Mockus: [j5]Jonas Mockus:
 Stock exchange game model as an example for graduate level distance studies. Comput. Appl. Eng. Educ. 10(4): 229-237 (2002)
 [j4]Jonas Mockus: [j4]Jonas Mockus:
 Bayesian Heuristic Approach to Scheduling. Informatica 13(3): 311-332 (2002)
 [j3]Jonas Mockus: [j3]Jonas Mockus:
 Bayesian heuristic approach to global optimization and examples. J. Glob. Optim. 22(1-4): 191-203 (2002)
1990 – 1999
- 1999
 [j2]Aistis Raudys, Jonas Mockus: [j2]Aistis Raudys, Jonas Mockus:
 Comparison of ARMA and Multilayer Perceptron Based Methods for Economic Time Series Forecasting. Informatica 10(2): 231-244 (1999)
- 1997
 [c3]Jonas Mockus, Audris Mockus, Linas Mockus: [c3]Jonas Mockus, Audris Mockus, Linas Mockus:
 Bayesian approach for randomization of heuristic algorithms of discrete programming. Randomization Methods in Algorithm Design 1997: 161-177
- 1994
 [j1]Jonas Mockus: [j1]Jonas Mockus:
 Application of Bayesian approach to numerical methods of global and stochastic optimization. J. Glob. Optim. 4(4): 347-365 (1994)
1970 – 1979
- 1977
 [c2]Jonas Mockus: [c2]Jonas Mockus:
 On Bayesian Methods for Seeking the Extremum and their Application. IFIP Congress 1977: 195-200
- 1974
 [c1]Jonas Mockus: [c1]Jonas Mockus:
 On Bayesian Methods for Seeking the Extremum. Optimization Techniques 1974: 400-404
Coauthor Index

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