11 research outputs found
Non-feasible gradient projection recurrent neural network for equality constrained optimization
No full text
A nonfeasible gradient projection recurrent neural network for equality-constrained optimization problems
No full textOptimization of the deposited power distribution inside a layered lossy medium irradiated by a coupled system of concentrically placed waveguide applicators
No full textCoupled radiation between concentrically placed waveguide applicators: optimization of the deposited power distribution inside a lossy medium
No full textMaximizing power-system loadability in the presence of multiple binding complementarity constraints
No full textOPTIMAL STEADY-STATE TEMPERATURE DISTRIBUTION FOR A PHASED-ARRAY HYPERTHERMIA SYSTEM
No full textA method is presented for the evaluation of optimal amplitude and phase
excitations for the radiating elements of a phased array hyperthermia
system, in order to achieve desired steady-state temperature
distributions inside and outside of malignant tissues. Use is made of a
detailed electromagnetic and thermal model of the heated tissue in order
to predict the steady-state temperature at any point in tissue. Optimal
excitations are obtained by minimizing the squared error between desired
and model predicted temperatures inside the tumor volume, subject to the
constraint that temperatures do not exceed an upper bound outside the
tumor. The penalty function technique is used to solve the constrained
optimization problem. Sequential unconstrained minima are obtained by a
modified Newton method. Numerical results for a four element phased
array hyperthermia system are presented
