Suchergebnisse - "GENETIC algorithms"

Intelligent Particle Filter and Its Application to Fault Detection of Nonlinear System von Yin, Shen, zhu, xiangping

“… The particle filter (PF) provides a kind of novel technique for estimating the hidden states of the nonlinear and/or non-Gaussian systems. However, the general …”
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Coordinated planning method of load and storage interaction between source and network based on chaotic optimization algorithm von Meng, Fanlin, Yan, Hui, Zhao, Chao

“… A distribution network collaborative optimization method is proposed based on an improved genetic algorithm and integrated source network load storage, aiming …”
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An integrated scheduling genetic algorithm based on process constraint matrix and family definition coding von Qian, Chao, Zhang, Jianxin

“… To address the complex product-integrated scheduling problem, an improved genetic algorithm based on process constraint matrix and family definition is …”
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Equilibrium optimizer: A novel optimization algorithm von Faramarzi, Afshin, Heidarinejad, Mohammad, Stephens, Brent, Mirjalili, Seyedali

“… This paper presents a novel, optimization algorithm called Equilibrium Optimizer (EO), inspired by control volume mass balance models used to estimate both …”
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A review on genetic algorithm: past, present, and future von Katoch, Sourabh, Chauhan, Sumit Singh, Kumar, Vijay

“… In this paper, the analysis of recent advances in genetic algorithms is discussed. The genetic algorithms of great interest in research community are selected …”
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Evolving Deep Convolutional Neural Networks for Image Classification von Sun, Yanan, Xue, Bing, Zhang, Mengjie, Yen, Gary G.

“… Evolutionary paradigms have been successfully applied to neural network designs for two decades. Unfortunately, these methods cannot scale well to the modern …”
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A novel genetic LSTM model for wind power forecast von Shahid, Farah, Zameer, Aneela, Muneeb, Muhammad

“… Variations of produced power in windmills may influence the appropriate integration in power-driven grids which may disrupt the balance between electricity …”
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Optimal Deep Learning LSTM Model for Electric Load Forecasting using Feature Selection and Genetic Algorithm: Comparison with Machine Learning Approaches von Bouktif, Salah, Fiaz, Ali, Ouni, Ali, Serhani, Mohamed

“… Background: With the development of smart grids, accurate electric load forecasting has become increasingly important as it can help power companies in better …”
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Energy management of hybrid electric vehicles: A review of energy optimization of fuel cell hybrid power system based on genetic algorithm von Lü, Xueqin, Wu, Yinbo, Lian, Jie, Zhang, Yangyang, Chen, Chao, Wang, Peisong, Meng, Lingzheng

“… •Summarized the topological structure types of fuel cell hybrid vehicles.•Summarize the optimal parameters in the energy management strategy.•Expounded several …”
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Prediction of Risk Delay in Construction Projects Using a Hybrid Artificial Intelligence Model von Yaseen, Zaher Mundher, Ali, Zainab Hasan, Salih, Sinan Q., Al-Ansari, Nadhir

“… Project delays are the major problems tackled by the construction sector owing to the associated complexity and uncertainty in the construction activities …”
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A Novel Active Equalization Method for Series-Connected Battery Packs Based on Clustering Analysis With Genetic Algorithm von Jinlei, Sun, Wei, Liu, Chuanyu, Tang, Tianru, Wang, Tao, Jiang, Yong, Tang

“… Battery pack performance is the main concern for electric vehicles and energy storage systems. However, charge imbalance is inevitable due to inconsistent …”
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Completely Automated CNN Architecture Design Based on Blocks von Sun, Yanan, Xue, Bing, Zhang, Mengjie, Yen, Gary G.

“… The performance of convolutional neural networks (CNNs) highly relies on their architectures. In order to design a CNN with promising performance, extensive …”
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Adaptive crossover operator based multi-objective binary genetic algorithm for feature selection in classification von Xue, Yu, Zhu, Haokai, Liang, Jiayu, Słowik, Adam

“… Feature selection is a key pre-processing technique for classification which aims at removing irrelevant or redundant features from a given dataset. Generally …”
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A Stochastic Multi-Objective Framework for Optimal Scheduling of Energy Storage Systems in Microgrids von Farzin, Hossein, Fotuhi-Firuzabad, Mahmud, Moeini-Aghtaie, Moein

“… This paper presents a stochastic framework for day-ahead scheduling of microgrid energy storage systems in the context of multi-objective (MO) optimization …”
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Aspect-based sentiment analysis using adaptive aspect-based lexicons von Mowlaei, Mohammad Erfan, Saniee Abadeh, Mohammad, Keshavarz, Hamidreza

“… •A combination of dynamic and static lexicons outperforms isolated use of each type.•In lexicon generation using GA, frequent terms tend to have the most …”
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A new efficient hybrid algorithm for large scale multiple traveling salesman problems von Jiang, Chao, Wan, Zhongping, Peng, Zhenhua

“… •A new hybrid algorithm AC-PGA is designed for solving large scale MTSPs.•AC-PGA has better performance than some existing algorithms.•AC-PGA has weak …”
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Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architecture von Listou Ellefsen, André, Bjørlykhaug, Emil, Æsøy, Vilmar, Ushakov, Sergey, Zhang, Houxiang

“… •State-of-the-art results on the C-MAPSS dataset.•Genetic algorithm effectively tunes hyper-parameters in deep architectures.•Unsupervised pre-training …”
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Evolutionary algorithms and their applications to engineering problems von Slowik, Adam, Kwasnicka, Halina

“… The main focus of this paper is on the family of evolutionary algorithms and their real-life applications. We present the following algorithms: genetic …”
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Potential for optimization of energy consumption and costs in saffron production in central Iran through data envelopment analysis and multi‐objective genetic algorithm von Saeidi, Elham, Dehkordi, Amin Lotfalian, Nabavi‐Pelesaraei, Ashkan

“… Technical management of agricultural units plays an important role in increasing the yield, energy efficiency, and decreasing the production costs. Based on …”
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Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification von Sun, Yanan, Xue, Bing, Zhang, Mengjie, Yen, Gary G., Lv, Jiancheng

“… Convolutional neural networks (CNNs) have gained remarkable success on many image classification tasks in recent years. However, the performance of CNNs highly …”
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