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Alternative method for economic dispatch utilizing grey wolf optimizer
Published 2015“…Although several optimization methodologies have been developed for solving ED problems, the complexity of the task reveals the necessity for development of efficient algorithms to accurately locate the optimum solution. …”
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Hydro thermal coordination using particle swarm optimization / Amirul Asraf Abd Latif
Published 2012“…Particle swarm optimization (PSO) algorithm is developed to give the economical cost for hydrothermal generation while fulfill the constraint of thermal and hydro unit. …”
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Using genetic algorithms to optimise land use suitability
Published 2012“…Second task is to determine the fitness function for the genetic algorithms. …”
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Development of a rule-based fault diagnostic advisory system for precut fractionation column
Published 2005“…Early detection and diagnosis is useful to avoid abnormal condition that might lead to the loss of both human live and economic values. The advisory system algorithm used process history based method and presented by rule-based approach. …”
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Development of intelligent hybrid learning system using clustering and knowledge-based neural networks for economic forecasting : First phase
Published 2004“…We proposed KMeans clustering algorithm that is based on multidimensional scaling, joined with neural knowledge based technique algorithm for supporting the learning module to generate interesting clusters that will generate interesting rules for extracting knowledge from stock exchange databases efficiently and accurately.…”
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Review on bio-inspired algorithms approach to solve assembly line balancing problem
Published 2019“…Bio-inspired algorithms that have been developed by mimicking the biological phenomenon of nature have been widely applied to solve many real-world problems. …”
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Financial time series predicting using machine learning algorithms
Published 2013“…Financial time series prediction is a challenging task due to the fluctuation of trading or economic exchange that is difficult to predict. …”
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Multi-objective and multi-criteria decision making for Technoeconomic optimum design of hybrid standalone renewable energy system
Published 2025“…The major obstacle in designing of the wind turbine/photovoltaic/battery storage system lies in the task of choosing the most optimum solution while simultaneously considering techno-economic objectives. …”
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Multi-objective and multi-criteria decision making for Technoeconomic optimum design of hybrid standalone renewable energy system
Published 2024“…The major obstacle in designing of the wind turbine/photovoltaic/battery storage system lies in the task of choosing the most optimum solution while simultaneously considering techno-economic objectives. …”
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Predictive models for hotspots occurrence using decision tree algorithms and logistic regression.
Published 2013“…As many 561 target objects were prepared through several data preprocessing tasks. The results show that the C4.5 algorithm has better performance than the ID3 algorithm in terms of accuracy and the number of generated rules. …”
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A Comparative Analysis of Peak Load Shaving Strategies for Isolated Microgrid Using Actual Data
Published 2022“…Peak load reduction is one of the most essential obligations and costâ��effective tasks for electrical energy consumers. An isolated microgrid (IMG) system is an independent limited capacity power system where the peak shaving application can perform a vital role in the economic opera-tion. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
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Multi-Agent cubature Kalman optimizer: A novel metaheuristic algorithm for solving numerical optimization problems
Published 2024“…Optimization problems arise in diverse fields such as engineering, economics, and industry. Metaheuristic algorithms, including the Simulated Kalman Filter (SKF), have been developed to solve these problems. …”
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Regenerative braking strategy for electric vehicles using improved adaptive genetic algorithm
Published 2017“…It is a time-consuming task to model and develop a regenerative braking strategy. …”
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Optimization of exclusive release policies for hydropower reservoir operation by using genetic algorithm
Published 2016“…The developed models have been applied to the Cameron Highland hydropower system, Malaysia. …”
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Machine Learning Applications in Offense Type and Incidence Prediction
Published 2024“…Artificial Intelligence (AI) techniques encompass variouscomputational methods and algorithms designed to enable machines to perform tasks that typically require human intelligence. …”
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The effect of human learning and forgetting on fuzzy EOQ model with backorders / Nima Kazemi
Published 2017“…In order to optimize the models and derive solutions, an optimization algorithm was developed for the first model and applied later throughout the study. …”
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