Isaac Lagaris

Stopping Rules for Box-Constrained Stochastic Global Optimization

  • Isaac Lagaris
  • Ioannis Tsoulos
    • Categories Global Optimization Theory, Stochastic Approaches Tags , ,

    We present three new stopping rules for Multistart based methods. The first uses a device that enables the determination of the coverage of the bounded search domain. The second is based on the comparison of asymptotic expectation values of observable quantities to the actually measured ones. The third offers a probabilistic estimate for the number … Read more

    Gradient-Controlled, Typical-Distance Clustering for Global Optimization

  • Isaac Lagaris
  • I.G. Tsoulos
    • Categories Global Optimization, Stochastic Approaches Tags , ,

    We present a stochastic global optimization method that employs a clustering technique which is based on a typical distance and a gradient test. The method aims to recover all the local minima inside a rectangular domain. A new stopping rule is used. Comparative results on a set of test functions are reported. Citation Preprint, no … Read more