Topic: "meta-heuristic-algorithms"
MDCHAMP/FreeLunch
Meta-heuristic optimisation suite for python
Language: Python - Size: 304 KB - Last synced at: 14 days ago - Pushed at: almost 2 years ago - Stars: 46 - Forks: 3
thieu1995/mealpy-timeseries
Hyper-parameter tuning of Time series forecasting models with Mealpy
Language: Python - Size: 15.6 KB - Last synced at: 22 days ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 3
thieu1995/mealpy-classification
Hyper-parameter tuning of classification model with Mealpy
Language: Python - Size: 6.84 KB - Last synced at: 22 days ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 3
prs98/Transportation_Planning
Identified and explained in detail the gaps and possible future works for improvement in two popular research papers that used heuristic and meta-heuristic algorithms to solve multi-objective vehicle routing problem with time window and drones.
Size: 5.3 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0
mustafa-droid18/Solving-the-0-1-Knapsack-Problem-Using-the-LAB-Algorithm
This repository implements the LAB (Leader Advocate Believer) Algorithm to solve the 0-1 Knapsack Problem, a classic optimization problem. The LAB Algorithm is inspired by human social interactions, simulating the roles of leaders, advocates, and believers to efficiently explore and exploit the solution space.
Language: Jupyter Notebook - Size: 1.82 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
datmemerboi/Test-Case-Optimization
Test Case Optimization using Meta-Heuristic Algorithms
Language: Jupyter Notebook - Size: 1.56 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
jayenliao/Optimization-CS-BA-FPA
This project aimed to implement three well-known meta-heuristic algorithms: cuckoo search (CS), bat algorithm (BA), and flower pollination algorithm (FPA). We found that three algorithms could have a promising performance generally. It might need more runs to be converged when training BA. The time cost of BA was the highest while the differences of time cost among three algorithms were not so large, which might not matter when the number of training runs was not large. We also tuned λ in CS and FPA with the findings of the weakness of larger λ values. A demo video of training process is available on YouTube: https://youtu.be/hlKvODBUyeI.
Language: Python - Size: 20.5 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 1
palmisol/TSP-app
A tool to implement search algorithms
Language: Java - Size: 6.81 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
