numerical optimization using physics-based algorithms
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Updated
Nov 1, 2017 - C#
numerical optimization using physics-based algorithms
A Simple Python Harmony Core.
🎯 A comprehensive gradient-free optimization framework written in Python
Harmony Search is a Metaheuristic method which draws inspiration from the musical process of searching for a perfect state of harmony. In this project such algorithms are developed and performed on benchmark functions and real optimization problems.
This repository contains 4 metaheuristic search algorithm for optimization
An implementation of 3 swarm optimization algorithms: Firefly Algorithm, Harmony Search and Particle Swarm. All algorithms are made to be modular and easily importable to other projects for use.
Artificial Algea Algorithm, Grey Wolf Optimizer, Harmony Search
Harmony Search (HS) in MATLAB
Yarpiz Evolutionary Algorithms Toolbox for MATLAB
Harmony Search Time Series Forecasting
Cultural Harmony Learning Algorithm
Project for Theory and Methods of Optimization Class
Harmony Search Hub Location Allocation Optimization Problem
pyHarmonySearch is a pure Python implementation of the harmony search (HS) global optimization algorithm.
Harmony Search Parallel Machine Scheduling
📄 Official implementation regarding the chapter "Fine-Tuning Deep Belief Networks with Harmony-Based Optimization".
HubLocationAllocation
Energy Cost Savings on Cloud Data Centers using Heuristic Algorithm
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