<p>Relaying is one of the latest communication technologies developed for wireless networks like WiMAX, LTE Advanced and 5G Ultra Reliable Low Latency Communication (URLLC) to provide coverage extension as well higher bitrates cell edge users. Thus they are included in design next generation systems performance improvement terms capacity over their predecessors. Other promising features t...

the performance of women agribusiness cooperatives in oyo state, nigeria was assessed in this study. the study employed a multi-stage sampling technique to select 6 women cooperative groups (aggregating to 175 individuals); 36 individual women; and 4 institutions across 6 lgas in two agricultural zones of the state. findings show that majority (55.6%) of the respondents belong to processing org...

Particle swarm optimization (PSO) is a population based statistical optimization technique which is inspired by social behavior of bird flocking or fish schooling. The main weakness of PSO especially in multimodal problems is trapping in local minima. Recently a learning automata based PSO called PSO-LA to improve the performance of PSO has been reported. PSO-LA uses one learning automaton for ...

This paper presents a designing an optimal adaptive controller for tracking down the control of robot manipulators based on particle swarm optimization (PSO) algorithm. PSO algorithm has been used to optimize parameters of the controller and hence to minimize the integral square of errors (ISE) as a performance criteria. In this paper, an improved PSO using a logic is proposed to increase the c...

Particle Swarm Optimization (PSO) is a biologically inspired computational search and optimization method developed in 1995 by Eberhart and Kennedy based on the social behaviors of birds flocking or fish schooling. A number of basic variations have been developed due to improve speed of convergence and quality of solution found by the PSO. On the other hand, basic PSO is more appropriate to pro...

Unmanned aerial vehicles (UAVs) are being employed in many areas such as photography, emergency, entertainment, defence, agriculture, forestry, mining and construction. Over the last decade, UAV technology has found applications numerous construction project phases, ranging from site mapping, progress monitoring, building inspection, damage assessments, material delivery. While extensive studie...

This paper investigates into hybridization between PSO and self-adaptive evolutionary programming techniques for solving economic dispatch (ED) problem with non-smooth cost curves where conventional gradient based methods are in-applicable. The convergence capability of evolutionary programming technique is enhanced with hybridization of self-adaptive evolutionary programming technique with PSO...

Abstract With energy and water resources shortages, the managements of distribution networks (WDNs) have become increasingly important. However, achieving real-time scheduling pump valve in dynamic environments remains challenging. Thus, this study proposes a multi-agent reinforcement learning framework to address uncertainty demand WDNs. First, we constructed WDN environment modelled problem a...