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This is a python implementation of NSGA-II algorithm. NSGA is a popular non-domination based genetic algorithm for multi-objective optimization. It is a very effective algorithm but has been generally criticized for its computational complexity, lack of elitism and for choosing the optimal parameter value for sharing parameter σshare. A modified version, NSGA II was developed, which has a better sorting algorithm , incorporates elitism and no sharing parameter needs to be chosen a priori.

License: MIT License

Python 100.00%

nsga-ii's Introduction

Hola 👋 , I'm Harsh 💻

🏡 website | 📺 youtube | 📦 npm | 📷 instagram | 👔 linkedin

I'm a software researcher who is passionate about making open-source more accessible, creating technology to elevate people, and building community. Some technologies I enjoy working with include ReactJS, Jamstack (JavaScript, APIs + Markup) and GraphQL.

  • 💜 loving React,Jamstack,GraphQL, C++, Python, HTML/CSS, Swift, PHP.
  • 🧠 researching majorly in Image Clustering.
  • 👯 looking to collaborate to Open Source Organisations.
  • 😄 pronouns: he/him.
  • ⚡ fun fact: I can solve a Rubik's Cube under a minute 0_0
  • 🦕 quote: Cross all those Research Hurdles like the DINO below and brighten your SCORE :D

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