The integration of distributed power sources and electric vehicles introduces significant stochasticity to the distribution grid. In order to better adapt to real-world applications, a model for uncertain scenarios co...
详细信息
Finite-dimensional degenerate optimization problems with equality and inequality constraints are addressed. One sufficient condition for quadraticity is proposed, that is, when the problem under study can be reduced t...
详细信息
A variety of nonlinear optimization techniques have been used for measuring effectiveness of Intrusion Detection Systems (IDS). The variability of these optimization techniques resulted in several different approaches...
详细信息
Real world optimization problems contain multiple complexities that are often not tractable if one completely relies on mathematical programming or metaheuristic approaches, as each approach has unique strengths and l...
详细信息
The data collection relies as the major problem while deploying the sensor nodes in Wireless Sensor Network (WSNs). The collection of data using Mobile Sink (MS) is an effective approach to rectify issues in data coll...
详细信息
Under uneven illumination conditions, the power characteristics of photovoltaic (PV) arrays exhibit complex multi-peak features, significantly increasing the difficulty of Maximum Power Point Tracking (MPPT). The trad...
详细信息
In this paper, an improved Gannet optimization algorithm (DDPSA-GOA) is presented. The Gannet optimization algorithm (GOA) was formed by mathematically studying the various foraging behaviors of Gannet. GOA has had be...
详细信息
The main objective of the transmission expansion planning (TEP) problem is to figure out the location and number of additional transmission lines that need to be built on the transmission system to fulfill the increas...
详细信息
In order to improve the resilience of distribution networks against typhoon disasters, a differentiated reinforcement method for distribution networks based on an improved proximal policy optimization (PPO) algorithm ...
详细信息
The k-means method is widely utilized for clustering. Its simplicity, efficacy, and swiftness make it a favored choice among clustering algorithms. It faces the challenge of sensitivity to the initial class center. Th...
详细信息
暂无评论