As an important technology of Internet of Things (IoT), wireless sensor network (WSN) has the problem of low coverage caused by uneven nodes distribution. Aiming at the problem, a WSN coverage optimization method base...
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As an important technology of Internet of Things (IoT), wireless sensor network (WSN) has the problem of low coverage caused by uneven nodes distribution. Aiming at the problem, a WSN coverage optimization method based on the yin-yang pigeon-inspired optimizationalgorithm (yin-yangPIO) is proposed. Firstly, the good point set is introduced into initialization phase which makes pigeon population more evenly distributed in the solution space;then, yinyang-pairoptimizationalgorithm (YYPO) and pigeon-inspired optimizationalgorithm (PIO) are combined, and different strategies are used in the map and compass operator and the landmark operator to improve the optimization ability;later on, the opposition-based learning is added to PIO to expand the search range;finally, several functions are selected to prove the optimization ability of the yin-yangPIO. Through three sets of WSN coverage optimization experiments with different parameters, the effectiveness of the proposed method in WSN coverage optimization is demonstrated.
Reactive power plays a crucial role in power systems so that it can enhance performance, reliability and efficiency of the system in a positive way. In this study, the some recent techniques called Salp Swarm, Whale O...
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ISBN:
(纸本)9781538641842
Reactive power plays a crucial role in power systems so that it can enhance performance, reliability and efficiency of the system in a positive way. In this study, the some recent techniques called Salp Swarm, Whale optimization and yin-yang-pair optimization algorithms are proposed to demonstrate their applicability and success in solving optimal reactive power dispatch (ORPD) problems for real power transmission loss. Metaheuristic algorithms are used for the purpose of determining the control variable settings. The IEEE 14 and 30 -bus systems are implemented as the test systems to analyze the algorithms' performances. The obtained results indicate that the used algorithms are effective frameworks in solving ORPD problems in the electrical power systems.
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