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Improved stochastic gradient descent algorithm with mean-gradient adaptive stepsize for solving large-scale optimization problems
Published 2023“…Stochastic gradient descent (SGD) is one of the most common algorithms used in solving large unconstrained optimization problems. …”
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Article -
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RSA Encryption & Decryption using JAVA
Published 2006“…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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Final Year Project -
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Provider independent cryptographic tools
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Monograph -
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Adaptive route optimization for mobile robot navigation using evolutionary algorithm
Published 2021“…For example, Ant Colony Optimization (ACO) is an optimization algorithm based on swarm intelligence which is widely used to solve path planning problem. …”
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Proceedings -
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A firefly algorithm based hybrid method for structural topology optimization
Published 2020“…In this paper, a firefly algorithm based hybrid algorithm through retaining global convergence of firefly algorithm and ability to generate connected topologies of optimality criteria (OC) method is proposed as an alternative method to solve stress-based topology optimization problems. …”
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A MODIFIED PARTICLE SWARM OPTIMIZATION ALGORITHM FOR WELLBORE TRAJECTORY DESIGN
Published 2021“…The proposed optimization method also had the minimum spacing metric and maximum spread.…”
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Thesis -
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Racoon optimization algorithm
Published 2019“…To improve the time and accuracy of the coverage in the population-based meta-heuristic, this paper presents a novel algorithm called the Raccoon Optimization Algorithm (ROA). …”
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An improved artificial immune system based on antibody remainder method for mathematical function optimization
Published 2023Conference paper -
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Algorithmic Loan Risk Prediction Method Based on PSO-EBGWO-Catboost
Published 2024“…PSO-EBGWO is used to optimize the parameters of the CatBoost model. In this method, the Gray Wolf optimized algorithm (EBGWO) is further optimized by particle swarm optimization (PSO), and when combined with it, the convergence performance of the model is improved, the parameters of the model are reduced, and the model is simplified. …”
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Article -
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Optimal allocation of battery energy storage system using whale optimization algorithm
Published 2023Conference Paper -
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Hybrid performance measures and mixed evaluation method for data classification problems
Published 2012“…In the second evaluation stage, almost all selected algorithms that optimized by OAERP2 measure are able to produce better generalization ability against its original measure and other selected performance measures. …”
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Thesis -
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SINE COSINE ALGORITHM BASED NEURAL NETWORK FOR RAINFALL DATA IMPUTATION
Published 2024“…This chapter presents the ability of the sine cosine algorithm-based neural network (SCANN) to predict and optimize missing rainfall at different percentages of missing rates. …”
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Book Chapter -
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Artificial Immune System Based Remainder Method for Multimodal Mathematical Function Optimization
Published 2011“…Artificial immune system (AIS) is one of the nature-inspired algorithm for solving optimization problems. In AIS, clonal selection algorithm (CSA) is able to improve global searching ability compare to other meta-heuristic methods. …”
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Article -
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A Hybrid Method Based on Cuckoo Search Algorithm for Global Optimization Problems
Published 2018“…In other words, CSAHC has the ability to balance between the global exploration of the CSA and the deep exploitation of the HC method. …”
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Characterization of PV panel and global optimization of its model parameters using genetic algorithm
Published 2023Subjects:Article -
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Antibody Remainder Method Based Artificial Immune System for Mathematical Function Optimization
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Advances of metaheuristic algorithms in training neural networks for industrial applications
Published 2023Article -
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An Improved Artificial Immune System Based On Antibody Reminder Method For Mathematical Function Optimization
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