Now showing items 1-5 of 5

    • An Agent-Oriented Hierarchic Strategy for Solving Inverse Problems 

      Smolka, M.; Schaefer, R.; Paszynski, M.; Pardo, D.Autoridad BCAM; Alvarez-Aramberri, J.Autoridad BCAM (2015-12-31)
      The paper discusses the complex, agent-oriented hierarchic memetic strategy (HMS) dedicated to solving inverse parametric problems. The strategy goes beyond the idea of two-phase global optimization algorithms. The global ...
    • A hybrid method for inversion of 3D DC resistivity logging measurements 

      Gajda-Zagórska, E.; Schaefer, R.; Smolka, M.; Paszynski, M.; Pardo, D.Autoridad BCAM (2014-12-31)
      This paper focuses on the application of hp hierarchic genetic strategy (hp-HGS) for solution of a challenging problem, the inversion of 3D direct current (DC) resistivity logging measurements. The problem under consideration ...
    • ICCS 2017 Workshop on Agent-Based Simulations, Adaptive Algorithms and Solvers 

      Byrski, A.; Paszynski, M.; Schaefer, R.; Calo, V.M.; Pardo, D.Autoridad BCAM (2017)
      This workshop seeks to integrate results from different domains of computer science, computational science, and mathematics. We welcome simulation papers, either hard simulations using finite element or finite difference ...
    • Multi-objective hierarchic memetic solver for inverse parametric problems 

      Gajda-Zagórska, E.; Smolka, M.; Schaefer, R.; Pardo, D.Autoridad BCAM; Alvarez-Aramberri, J.Autoridad BCAM (2015-12-31)
      We propose a multi-objective approach for solving challenging inverse parametric problems. The objectives are misfits for several physical descriptions of a phenomenon under consideration, whereas their domain is a common ...
    • A multi-objective memetic inverse solver reinforced by local optimization methods 

      Gajda-Zagórska, E.; Schaefer, R.; Smolka, M.; Pardo, D.Autoridad BCAM; Alvarez-Aramberri, J.Autoridad BCAM (2016-09-01)
      We propose a new memetic strategy that can solve the multi-physics, complex inverse problems, formulated as the multi-objective optimization ones, in which objectives are misfits between the measured and simulated states ...