A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
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Updated
Sep 3, 2024 - Python
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
Python microframework for building nature-inspired algorithms. Official docs: https://niapy.org
Sample Code Collection of Nature-Inspired Computational Methods
Python automated machine learning framework.
A new metaheuristic for global optimization problems proposed in the IEEE Congress on Evolutionary Computation (CEC), 2018
Nature-inspired algorithms for hyper-parameter tuning of Scikit-Learn models.
Nature Inspired Optimization Algorithms
(Code) A new workload prediction model using extreme learning machine and enhanced tug of war optimization
IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine
A Python Toolkit for Data Preprocessing with Evolutionary and Nature-Inspired Algorithms.
The ripple-spreading algorithm for the shortest path problem.
SPGD: Search Party Gradient Descent algorithm, a Simple Gradient-Based Parallel Algorithm for Bound-Constrained Optimization. Link: https://www.mdpi.com/2227-7390/10/5/800
Meta-Heuristic Algorithm for Travelling Salesman Problem
The repository containing more advanced examples of usage of NiaPy micro-framework.
reflame: Revolutionizing Functional Link Neural Network by Metaheuristic Optimization
EvoRBF: A Nature-inspired Algorithmic Framework for Evolving Radial Basis Function Networks
A document-level information extraction pipeline for layered cathode materials for sodium-ion batteries.
Transaction fraud detection using machine learning and nature inspired algorithms.
A simple JavaScript library implementing the Bat Algorithm for optimization problems.
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