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Performance Evaluation of Different Differential Evolution Models Towards Benchmark Functions

Code Repository for Evolutionary Algorithm - Differential Evolution written in C++

This project is written by Ooi Guan Cheng - student at UTAR, supervised under Ts Dr. Lim Seng Poh.

Total of 80 DE models, comprise of 10 mutation schemes, 4 crossover operator and 2 selection methods is included.

Mutation Scheme - best/1, best/2, best/3, rand/1, rand/2, rand/3, current-to-best/1, current-to-best/2, current-to-rand/1, current-to-rand/2 Crossover Operator - Binomial crossover, Exponential crossover, One-point crossover, Two-point crossover Selection Method - Greedy selection, Subset-To-Subset selection

A dashboard and simulation website is built for this project at this repository

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