Research papers

Book

• Ya.D. Sergeyev, R.G. Strongin, D. Lera,  Introduction to Global Optimization Exploiting Space-filling Curves , Springer, New York (2013)

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).

Software

• 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 http://wwwinfo.deis.unical.it/∼yaro/GKLS.html