Search Results - (( development financial optimization algorithm ) OR ( java binary classification algorithm ))
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An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…In order to address the challenges that mentioned above in this study, in the first phase, a novel architecture based on ensemble feature selection techniques include Modified Binary Bat Algorithm (NBBA), Binary Quantum Particle Swarm Optimization (QBPSO) Algorithm and Binary Quantum Gravita tional Search Algorithm (QBGSA) is hybridized with the Multi-layer Perceptron (MLP) classifier in order to select relevant feature subsets and improve classification accuracy. …”
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Predicting bankruptcy using ant colony optimization / Nur Syafiqah Abdul Ghani
Published 2021“…The results have shown that the Ant Colony Optimization Algorithm produced a better predictive accuracy. …”
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A Hybrid Adaptive Leadership GWO Optimization with Category Gradient Boosting on Decision Trees Algorithm for Credit Risk Control Classification
Published 2024“…With the rapid development of financial economy in our country, credit business has become the main business of banks and financial companies. …”
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Algorithmic Loan Risk Prediction Method Based on PSO-EBGWO-Catboost
Published 2024“…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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Machine learning based return prediction for digital financial portfolios
Published 2025“…The machine learning algorithm is introduced to optimize the digital financial portfolio investment return prediction system. …”
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Investigation of load variant under power distribution network reconfiguration using EPSO algorithm
Published 2024“…Due to that reason, this study proposes the Evolutionary Particle Swarm Optimization (EPSO) algorithm which is a hybrid optimization technique that combines the principles of Evolutionary Programming (EP) and Particle Swarm Optimization (PSO) to solve optimization problems by reducing the power losses under Distribution Network Reconfiguration (DNR). …”
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Quantum Particle Swarm Optimization Technique for Load Balancing in Cloud Computing
Published 2013“…Then they are assigned to the machines according to the assignment algorithm for job combinations, which is a special integer partition algorithm. …”
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Data mining using genetic algorithm in finance data / A. Noor Latiffah and A. B. Nordin
Published 2006“…The methods that wilt be applied are conventional statistical methods Markowitz Optimization as well as evolutionary programming (EP) utilizing genetic algorithms. …”
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A genetic algorithm for optimizing gravity die casting’s heat transfer coefficients
Published 2011“…In this paper, the focus is sharpened on the convergence and optimality of 26 the developed GA.…”
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Robust Portfolio Mean-Variance Optimization for Capital Allocation in Stock Investment Using the Genetic Algorithm: A Systematic Literature Review
Published 2024journal::journal article -
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Fuzzy clustering method and evaluation based on multi criteria decision making technique
Published 2018“…This proposed algorithm is developed based on heuristic method named modified binary particle swarm optimization (MBPSO) with kernel fuzzy clustering method as a fitness function. …”
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FUZZY TOPSIS BASED SOLAR PV DESIGN OPTIMIZATION
Published 2023“…Thus, an ergonomic solar PV Design Optimization software is developed by using MATLAB AppDesigner. …”
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Final Year Project Report / IMRAD -
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PhABC: A Hybrid Artificial Bee Colony Strategy for Pairwise test suite Generation with Constraints Support
Published 2019“…Various existing research works were developed using a meta-heuristic algorithm as a basis for pairwise testing strategies. …”
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PhABC: A Hybrid Artificial Bee Colony Strategy for Pairwise test suite Generation with Constraints Support
Published 2019“…Various existing research works were developed using a meta-heuristic algorithm as a basis for pairwise testing strategies. …”
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Enhanced foreign exchange volatility forecasting using CEEMDAN with optuna-optimized ensemble deep learning model
Published 2024“…Furthermore, the hyperparameters for the DL models are optimized using the Optuna algorithm. Finally, a hybrid ensemble model for forecasting exchange rate volatility is developed by combining the predictions of three distinct DL models. …”
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Load shedding in power system using new optimization method lighting search algorithm
Published 2023text::Final Year Project -
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Triple Bottom Line Optimization for Sustainable Product Design
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Applied mathematical optimization technique on menu scheduling for boarding school student using delete-reshuffle-reoptimize algorithm
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Privacy optimization and intrusion detection in modbus/tcp network-based scada in water distribution systems
Published 2021“…One of the key essential elements is the privacy of data sets; they can be turned publicly available and has potential to be use for the development of security solutions. Therefore, the first problem to be tackled is the privacy optimization of Modbus/TCP packet fields. …”
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