The dynamic programming solution of the 0/1 Knapsack Problem has

Arpit Bhayani

Arpit Bhayani

Mar 07, 2022 • 1 min read


The dynamic programming solution of the 0/1 Knapsack Problem has a pseudo-polynomial time runtime complexity, but there is a way to generate high-quality solutions in Polynomial-time 🤯

Essay #74: Genetic Algorithm to solve the Knapsack Problem

The algorithm we discuss in this essay is called the Genetic Algorithm, which is inspired by the process of evolution. The idea is extremely simple yet powerful and fun.

Read the essay at: https://lnkd.in/gtxPD7u2, and it also contains a simple Python implementation.

This is the 74the essay, and I have regularly published it since Jan 3rd, 2020. If you are interested in CS Engineering in general, do subscribe to my newsletter and get the essay delivered right to your inbox. 

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Arpit Bhayani

Principal Engineer II at Razorpay - building Agent Studio, Ex-staff engg at GCP Memorystore & Dataproc, Creator of DiceDB, ex-Amazon Fast Data, ex-Director of Engg. SRE and Data Engineering at Unacademy. I spark engineering curiosity through my no-fluff engineering videos on YouTube and my courses