A Python library implementing the Jaya Optimization Algorithm.
Reason this release was yanked:
updating
Project description
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Jaya Optimization Algorithm
The JayaOptimizer is a Python library that implements the Jaya Optimization Algorithm, a population-based optimization technique. It is designed to solve continuous, discrete, and mixed-variable optimization problems efficiently.
Features
- Supports continuous, discrete, and mixed-variable optimization.
- User-friendly interface for defining objective functions and constraints.
- Handles maximization and minimization problems.
- Tracks convergence history for analysis.
- Automatically adapts to user-defined variable boundaries.
Installation
Install the library using pip:
pip install jaya-optimizer
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# jaya-optimizer
The Jaya algorithm is a metaheuristic which is capable of solving both constrained and unconstrained optimization problems. It is a population based method which repeatedly modifies a population of individual solutions. It is a gradient-free optimization algorithm.
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