Parcourir par sujet "Particle swarm optimization (PSO)"
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Accurate, dynamic, and distributed localization of phenomena for mobile sensor networks
(2016)We present a robust, dynamic scheme for the automatic self-deployment and relocation of mobile sensor nodes (e.g., unmanned ground vehicles, robots) around areas where phenomena take place. Our scheme aims (i) to sense ... -
Classifying mammography images by using fuzzy cognitive maps and a new segmentation algorithm
(2018)Mammography is one of the best techniques for the early detection of breast cancer. In this chapter, a method based on fuzzy cognitive map (FCM) and its evolutionary-based learning capabilities is presented for classifying ... -
A heuristic approach for overlay content-caching network design in 5G wireless networks
(2016)With a wide variety of mobile applications and social networks, there is a growing demand for anytime, anywhere access to high quality video and other multimedia content. Fifth generation wireless networks are aiming to ... -
An incentive-based implementation of demand side management in power systems
(2021)The growing demand for electricity runs counter to European-level goals, which include activities aimed at sustainable development and environmental protection. In this context, efficient consumption of electricity attracts ... -
Long Short-Term Memory (LSTM) Deep Neural Networks in Energy Appliances Prediction
(2019)The application of Long Short-Term Memory (LSTM) Deep Neural Networks has been increased the last years. This paper proposes a novel methodology based on a hybrid model using the Long Short-Term Memory (LSTM) Networks and ... -
A new W-SVM kernel combining PSO-neural network transformed vector and Bayesian optimized SVM in GDP forecasting
(2020)Considering that in the literature there is a very limited number of studies proposing new SVM kernels especially in regression problems, the scope of this research is to investigate the development of a novel Support ... -
Optimized Data-Driven Models for Short-Term Electricity Price Forecasting Based on Signal Decomposition and Clustering Techniques
(2022)In recent decades, the traditional monopolistic energy exchange market has been replaced by deregulated, competitive marketplaces in which electricity may be purchased and sold at market prices like any other commodity. ... -
A solution for multi-agent resource sharing based on fuzzy logic and particle swarm optimization
(2012)Learning in multi-agent settings is a hard task, since agents learn simultaneously and the actions of each agent affect the environment of the others (and vice versa). In real world applications, such as multi-agent settings ... -
Stepladder determinative brain storm optimization
(2022)Brain Storm Optimization (BSO) is a swarm intelligence algorithm that mimics the brainstorming process of human beings. Since the introduction of BSO, many attempts have been made to improve the performance of the algorithm, ... -
Tracking Particle Swarm Optimizers: An adaptive approach through multinomial distribution tracking with exponential forgetting
(2012)An active research direction in Particle Swarm Optimization (PSO) is the integration of PSO variants in adaptive, or self-adaptive schemes, in an attempt to aggregate their characteristics and their search dynamics. In ... -
Unsupervised clustering and multi-optima evolutionary search
(2014)This paper pursues a course of investigation of an approach to combine Evolutionary Computation and Data Mining for the location and computation of multiple local and global optima of an objective function. To accomplish ...