Buscar
Mostrando ítems 1-10 de 174
Harnessing Particle Swarm optimization through Relativistic Velocity
(2020-07-01)
In the last century, Albert Einstein's perceptions of the world afforded a revolution in the understanding of the universe. In his theory of general relativity, he describes the space-time continuum, a concept capable of ...
Harnessing Particle Swarm Optimization Through Relativistic Velocity
(Ieee, 2020-01-01)
In the last century, Albert Einstein's perceptions of the world afforded a revolution in the understanding of the universe. In his theory of general relativity, he describes the space-time continuum, a concept capable of ...
A global optimization approach for the problem of controller order reduction
(2002-01-01)
A novel formulation for the problem of optimal controller order reduction for continuous-time linear systems is presented. The H2 or the H∞-norms of the error realization between the full and the reduced order controlled ...
Global optimization approach for the H2-norm model reduction problem
(1999-12-01)
A branch and bound algorithm is proposed to solve the H2-norm model reduction problem for continuous-time linear systems, with conditions assuring convergence to the global optimum in finite time. The lower and upper bounds ...
Multi-area decentralized optimal VAr planning using the Dantzig-Wolfe decomposition principle
(2011-05-31)
This paper presents a new methodology for solving the optimal VAr planning problem in multi-area electric power systems, using the Dantzig-Wolfe decomposition. The original multi-area problem is decomposed into subproblems ...
Discovering promising regions to help global numerical optimization algorithms
(Springer, 2007-01-01)
We have developed an algorithm using a Design of Experiments technique for reduction of search-space in global optimization problems. Our approach is called Domain Optimization Algorithm. This approach can efficiently ...
A novel approach for solving constrained nonlinear optimization problems using neurofuzzy systems
(2000-01-01)
A neural network model for solving constrained nonlinear optimization problems with bounded variables is presented. More specifically, a modified Hopfield network is developed and its internal parameters are computed using ...
Optimization Of An Ammonia Synthesis Reactor Using Simultaneous Approach
(AIDIC SERVIZI SRLMILANO, 2015)
GPS ambiguity resolution and validation under multipath effects: Improvements using wavelets
(2007-12-01)
Integer carrier phase ambiguity resolution is the key to rapid and high-precision global navigation satellite system (GNSS) positioning and navigation. As important as the integer ambiguity estimation, it is the validation ...
Magnetic Particle Swarm Optimization
(, 2011)