Riemannian stochastic optimization algorithms: Version 1.0.3
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Updated
Jan 5, 2023 - MATLAB
Riemannian stochastic optimization algorithms: Version 1.0.3
The goal of this project is to build a simulation model to determine the largest expected revenue from an electric vehicle charging station in a one month time period given the storage capacity, charging grid change costs, demand and supply.
Simple MATLAB toolbox for deep learning network: Version 1.0.3
Code for experiments in paper: Non-Asymptotic Bounds for Zeroth-Order Stochastic Optimization
My solution of a simple Reinforcement learning problem
Find the optimal buying & selling threshold of a stock using stochastic optimization.
Demonstrates the usage of a Genetic Algorithm to solve 2 variable design problems. 2D Rosenbrock is chosen as an illustrative example
bin packing problem best fit and metaheuristics. genetic algorithm, bonus particle swarm optimization. comparing both algorithms
Coyote Optimisation Algorithm - COA
StoMADS algorithm for stochastic blackbox optimization
Analysis Spreading COVID-19 in Japan Using Stochastic Differential Evolution’s Method
Numerical implementation and validation of an adaptive consensus-based algorithm for multi-objective optimization.
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