In this paper, we incorporate a diversity mechanism to the differential evolution algorithm to solve constrained optimization problems without using a penalty function. The aim is...
: Quantum Monte Carlo (QMC) calculations require the generation of random electronic configurations with respect to a desired probability density, usually the square of the magnitu...
Daniel R. Fisher, David R. Kent IV, Michael T. Fel...
A key step in program optimization is the determination of optimal values for code optimization parameters such as cache tile sizes and loop unrolling factors. One approach, which...
This paper presents a novel method for training hidden Markov models (HMMs) for use in HMM-based speech synthesis. The primary goal of HMM parameter optimization is to ensure that...
— This paper addresses the problem of generating optimal joint trajectories for redundant manipulators when multiple criteria are to be considered. A dynamic programming approach...
A. Guigue, Mojtaba Ahmadi, M. J. D. Hayes, R. Lang...