In solving the portfolio optimization problem, mean-semivariance (MSV) model is more complicated and time-consuming, their relations are unbalanced because they conflict with each other due to return risk. Therefore, in order solve these existing problems, multi-strategy adaptive particle swarm optimization, namely APSO/DU, has been developed problem. present study, a constraint factor introduc...

Advanced optimisation of the aerofoil wing a general aircraft is main subject this paper. Meta-heuristic techniques, especially swarm algorithms, were used. Subsequently, new variant denoted as particle (aPSO) was developed from original (PSO). A parametric model based on B-spline used to optimise initial aerofoil. The simulation software Xfoil calculating basic aerodynamic features (lift, drag...

OBJECTIVE The value of vestibular rehabilitation in patients with bilateral vestibular dysfunction was investigated. MATERIALS AND METHODS This study assessed 17 patients (9 males, 8 females) with bilateral vestibular dysfunction. Vestibular rehabilitation continued for 1.5 months. Videonystagmography tests (including oculomotor testing, positional testing, and caloric tests), vestibular evok...

Bilinear models can approximate a large class of nonlinear systems adequately and usually with considerable parsimony in the number of coefficients required. This paper presents the application of Particle Swarm Optimization (PSO) algorithm to solve both offline and online parameter estimation problem for bilinear systems. First, an Adaptive Particle Swarm Optimization (APSO) is proposed to inc...

Additive noise degrades speech quality and intelligibility. Speech enhancement reduces this to make more pleasant intelligible. It plays a significant role in recognition or speech-operated systems. In paper, we propose single-channel method which the log-minimum mean square error (log-MMSE) modified accelerated particle swarm optimization algorithm are used design filter for improving intellig...

To ensure the safety of space station and improve accuracy estimated trajectory tracking noncooperative target, an optical imaging micro-/nanosatellite based on APSO-SSUKF (adaptive particle swarm optimization-spherical simplex unscented Kalman filter) is proposed to track low-orbit target using angle-only measurement. First, algorithm considers effect J2 perturbation, uses data as observation ...

Aiming at the problems of A* algorithm in mobile robot path planning, such as multiple nodes, low accuracy, long running time and difficult initialization particle swarm optimization, an APSO combining PSO was proposed to calculate optimal path. First, a redundant point removal strategy is adopted preliminarily optimize planned by obtain set key nodes. Second, stochastic inertia weight improve ...