Inspired by the migratory behavior in the nature, a novel particle swarm optimization algorithm based on particle migration (MPSO) is proposed in this work. In this new algorithm, the population is randomly partitioned into several sub-swarms, each of which is made to evolve based on particle swarm optimization with time varying inertia weight and acceleration coefficients (LPSO-TVAC). At perio...

Particle Swarm Optimization (PSO) technique proved its ability to deal with very complicated optimization and search problems. Several variants of the original algorithm have been proposed. This paper proposes a variant of the PSO technique named Independent Neighborhoods Particle Swarm Optimization (INPSO) dealing with sub-swarms for solving the well known geometrical place problems. Finding t...

Whilst snoring itself is usually not harmful to a person’s health, it can be an indication of Obstructive Sleep Apnoea (OSA), a serious sleep-related disorder. As a result, studies into using snoring as acoustic based marker of OSA are gaining in popularity. Motivated by this, the INTERSPEECH 2017 ComParE Snoring sub-challenge requires classification from which areas in the upper airways differ...

In isolated regions, utilizing the unmanned aerial vehicle (UAV) as an anchor node is a promising technique to enable location awareness of ground terminals (GTs). this letter, considering UAV swarm-enabled localization for group distributed GTs, we aim minimize maximum Cramer-Rao lower bound (CRLB) position estimates with uncertainty. Then, efficient differential evolution (DE)-based method pr...

The Jiles-Atherton model is key to researching the hysteresis loop. focus of scholars across various countries has always been parameter identification model. This paper on Levy whale optimization algorithm (LWOA), based (WOA), proposes overcome disadvantage that WOA tends involve local optimum. recommended uses flight strategy instead encircling prey policy since former improves global search....

Differential Evolution (DE) is a powerful yet simple evolutionary algorithm for optimization of real valued, multi modal functions. DE is generally considered as a reliable, accurate and robust optimization technique. However, the algorithm suffers from premature convergence, slow convergence rate and large computational time for optimizing the computationally expensive objective functions. The...

Here, a collection of base functions and sub-functions configure the nodes of a web-based (digital)network representing functionalities. Each arc in the network is to be assigned as the link between two nodes. The aim is to find an optimal tree of functionalities in the network adding value to the product in the web environment. First, a purification process is performed in the product network ...