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DEAP (software)
Investigating the Parameter Space of Evolutionary Algorithms
Pygad: an Intuitive Genetic Algorithm Python Library
DEAP: Evolutionary Algorithms Made Easy
An Open-Source Nature-Inspired Optimization Framework in Python
Analysis of Open-Source Hyperparameter Optimization Software Trends
Investigating the Parameter Space of Evolutionary Algorithms
DEAP Documentation Release 0.9.0
Evolutionary Algorithms*
Opytimizer:Anature-Inspired Python Optimizer
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DEAP: Evolutionary Algorithms Made Easy
Development of an Open-Source Multi-Objective Optimization Toolbox
A Genetic Programming Approach to Solving Optimization Problems on Agent-Based Models Anthony Garuccio
The Use of Genetic Programming for Detecting the Incorrect Predictions of Classification Models
Evolutionary Computation Tutorial: Multi-Objective Optimisation Implementation Using Java
On the Performance of Differential Evolution for Hyperparameter Tuning
Credit Scoring Using Genetic Programming
Niapy: Python Microframework for Building Nature-Inspired Algorithms
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An Evolutionary Computational Approach for the Problem of Unit Commitment and Economic Dispatch in Microgrids Under Several Operation Modes