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Author Archives: Yarpiz

Classic and Intelligent Portfolio Optimization in MATLAB

Downloads The download link of this project follows. Portfolio Optimization using Classic Methods and Intelligent Methods (PSO, ICA, NSGA-II, and SPEA2) in MATLAB Download

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Optimal Inventory Control using PSO in MATLAB

Downloads The download link of this project follows. Implemenattion of Optimal Inventory Control using Particle Swarm Optimization (PSO) in MATLAB Download

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p-Hub Location Allocation Problem in MATLAB

Downloads The download link of this project follows. p-Hub Location Allocation Problem using PSO in MATLAB Download

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Facility Layout Design and Location Allocation in MATLAB

Downloads The download link of this project follows. Implementation of Facility Layout Design using PSO in MATLAB Download

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Capacitated Vehicle Routing Problem (VRP) using SA

Downloads The download link of this project follows. MATLAB implementation of solving Capacitated Vehicle Routing Problem (VPR) using Simulated Annealing (SA) Download

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Parallel Machine Scheduling using Simulated Annealing

Downloads The download link of this project follows. MATLAB implementation of solving Parallel Machine Scheduling using Simulated Annealing (SA) Download

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Bin Packing Problem using GA, PSO, FA, and IWO

Downloads The download link of this project follows. MATLAB implementation of solving Bin Packing Problem using Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Firefly Algorithm (FA) and Invasive Weed Optimization (IWO) Download

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Quadratic Assignment Problem (QAP) using GA, PSO and FA

Downloads The download link of this project follows. MATLAB implementation of solving QAP using Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Firefly Algorithm (FA) Download

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Time-Series Prediction using ANFIS in MATLAB

Previously, we have shared the implementation of ANFIS for nonlinear regression, in this link. Using the same implementation and converting the time-series modeling, to a function approximation problem, ANFIS is applied to the Time-Series Forecasting problem. The implemented approach, is used to build a model of and predict the global ice volume, based on the observed data in last 440,000 ...

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Time-Series Prediction using GMDH in MATLAB

Time-series prediction can be assumed as a special case of nonlinear regression and function approximation. Hence, nonlinear regression approaches, like Artificial Neural Networks and Group Method of Data Handling (GMDH) can be applied to perform time-series forecasting problems. In this post, we are going to share with you, the source codes of time-series prediction using GMDH in MATLAB, which is ...

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