MetaheuristicsAlgorithms.jl is a versatile Julia package that brings together a large collection of metaheuristic optimization algorithms in one place. It is designed to help users quickly apply and compare nature-inspired optimization methods on a variety of challenging problems.
From academic research to real-world engineering design, this package offers:
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Easy-to-use implementations of over 100 metaheuristic algorithms.
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Benchmark functions including classical engineering problems and standard test suites.
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Tools for analyzing algorithm performance and convergence.
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A clean and extensible code structure for customization.
Whether you’re exploring new optimization strategies or solving complex design tasks, MetaheuristicsAlgorithms.jl makes it simple and efficient.