A Nonpenalty Neurodynamic Model for Complex-Variable Optimization

A neurodynamic model for haptic spatiotemporal integration

In dieser Dissertation geht es um die Integration von haptischen Informationen über Raum und Zeit. Bei der haptischen Exploration von Objekten werden die Sinneseindrücke in eine Repräsentation der Geometrie des Objekts zusammengefasst. Die Verarbeitung von haptischen Informationen im zentralen Nervensystem von Primaten ist aktueller Gegenstand der Forschung. Trotz vieler Erkenntnisse im Bereich...

A Particle Swarm Optimization Algorithm for Mixed-Variable Nonlinear Problems

Many engineering design problems involve a combination of both continuous anddiscrete variables. However, the number of studies scarcely exceeds a few on mixed-variableproblems. In this research Particle Swarm Optimization (PSO) algorithm is employed to solve mixedvariablenonlinear problems. PSO is an efficient method of dealing with nonlinear and non-convexoptimization problems. In this paper,...

Neurodynamic Optimization and Its Applications in Robotics

Optimization problems arise in a wide variety of scientific and engineering applications. It is computationally challenging when optimization procedures have to be performed in real time to optimize the performance of dynamical systems. For such applications, classical optimization techniques may not be competent due to the problem dimensionality and stringent requirement on computational time....

An Efficient Neurodynamic Scheme for Solving a Class of Nonconvex Nonlinear Optimization Problems

‎By p-power (or partial p-power) transformation‎, ‎the Lagrangian function in nonconvex optimization problem becomes locally convex‎. ‎In this paper‎, ‎we present a neural network based on an NCP function for solving the nonconvex optimization problem‎. An important feature of this neural network is the one-to-one correspondence between its equilibria and KKT points of the nonconvex optimizatio...

A Stochastic Optimization Model for Groundwater Management