Metaheuristics.jl: Towards Any Optimization

07/29/2022, 4:30 PM5:00 PM UTC
Purple

Abstract:

Real-world problems require sophisticated methodologies providing feasible and efficient solutions. Metaheuristics are algorithms proposed to approximate those optimal solutions in a short time, making them suitable for applications where saving time is important. Metaheuristics.jl package implements relevant state-of-the-art algorithms for constrained, multi-, many-objective and bilevel optimization. Moreover, performance indicators are implemented in this package.

Description:

This talk presents the main features of Metaheuristics.jl, which is a package for global optimization to approximate solutions for single-, multi-, and many-objective optimization. Several examples are given to illustrate the implementation and the resolution of the different optimization problems.

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Julia ComputingRelational AIJulius Technology

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IntelAWS

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Invenia LabsBeacon BiosignalsMetalenzASMLG-ResearchConningPumas AIQuEra Computing Inc.Jeffrey Sarnoff

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Packt PublicationGather TownVercel

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