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...
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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...
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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...
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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...
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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...
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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 ...
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In response to the shortcomings of traditional computer color matching methods in color matching, visual coordination, and personalized needs, this paper introduces an intelligent color matching optimization model bas...
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We propose a method for learning decision makers’ behavior in routing problems using inverse optimization (IO). The IO framework falls into the supervised learning category and builds on the premise that the target b...
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This paper focuses on the utilization of multi-objective optimization algorithms, specifically the Genetic Algorithm (GA) and Multi-objective Particle Swarm optimization (MOPSO), to effectively navigate complex soluti...
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This study investigates bilevel optimization problems with multiple objectives at both upper and lower levels. For such problems, for every feasible solution at the upper level, there is a corresponding set of Pareto-...
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