During the optimization of a constrained problem using evolutionary algorithms (EAs), an individual in the population can be described using three important properties, i.e., obje...
Abstract We present a matrix-free line search algorithm for large-scale equality constrained optimization that allows for inexact step computations. For sufficiently convex problem...
— In this paper, we propose a linear precoding and decoding scheme maximizing the sum rate of K-user interference channel systems where each node has multiple antennas. With an i...
Hakjea Sung, Kyoung-Jae Lee, Seok-Hwan Park, Inkyu...
We present a class of inexact adaptive multilevel trust-region SQP-methods for the efficient solution of optimization problems governed by nonlinear partial differential equations...
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....