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#pymoo#optimization#geneticalgorithms
Solving Multi-Objective Constrained Optimisation Problems using Pymoo — Pranjal Biyani
EuroPython Conference
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- Presented by Pranjal Biyani
Intermediate. Assumes working knowledge.
8.9K views3 years ago
Computer scienceProgramming languagesPythonAlgorithmsMath for programmers
Pranjal Biyani introduces Pymoo, an open-source Python framework for solving multi-objective constrained optimization problems.
[EuroPython 2023 — North Hall on 2023-07-19] ep2023.europython.eu/session/solving-multi-objective-constra… Pymoo is an open source python framework with state-of-the-art optimisation and post performance analysis capabilities. It provides an object oriented interface to solve constrained Single/Multi-Objective optimisation problems with a catalog of algorithms, customisations and post-optimisation evaluation functionalities. With additional features like Visualisation of optimal pareto-fronts, decision making, parallelization and customised sampling, Pymoo promises to be highly valuable for scalable optimisation solutions. This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License creativecommons.org/licenses/by-nc-sa/4.0/Why it's here
A top upload from a listed channelEuroPython is on Hallway's list of conference and university channels, and this upload is one of its most-watched talks or lectures. Nobody has recommended it in the communities yet, so it ranks below community picks.