Research papers



Recent Papers

  • Ya. D. Sergeyev, M. Mukhametzhanov, D. Kvasov. D. Lera, Derivative-free local tuning and local improvement techniques embedded in the univariate global optimization. Journal of Optimization Theory and Applications,  (2016).
  • D. Lera, Yaroslav D. Sergeyev, Deterministic global optimization using space-filling curves and multiple estimates of Lipschitz and Holder constants. Communications in Nonlinear Science and Numerical Simulation (CNSNS), (2015).
  • D. Lera, Yaroslav D. Sergeyev, Acceleration of univariate global optimization algorithms working with Lipschitz functions and Lipschitz first derivatives.  SIAM Journal on Optimization (SIAM J. Optim.), (2013).
  • M. Gaviano, D. Lera, Properties and numerical testing of a parallel global optimization algorithm. Numerical Algorithms, (2012).
  • M. Gaviano, D. Lera, E. Mereu, A parallel algorithm for global optimization problems in a distributed computing environment. Applied Mathematics, (2012).
  • D. Lera, Yaroslav D. Sergeyev, Lipschitz and Holder global optimization using
    space-filling curves. Applied Numerical Mathematics, (2010).
  • D. Lera, Yaroslav D. Sergeyev, An information global minimization algorithm
    using the local improvement technique. Jornal of Global Optimization, (2010).
  • D. Lera, M. Gaviano, A.M. Steri, A local search method for continuous global optimization.
    Special Issue of Journal of Global Optimization,  (2010).
  • M. Gaviano, D. Lera, A global minimization algorithm for Lipschitz functions.
    Optimization Letters,  (2008).


  • M. Gaviano, D.E. Kvasov, D. Lera, Ya.D. Sergeyev, Software for generation of classes of test functions with known local and global minima for global optimization.
    ACM TOMS, (2003). Downloadable for free from∼yaro/GKLS.html
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