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6 search results found

Gradient Free Optimizers ⭐ 1,072

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

🎯 A comprehensive gradient-free optimization framework written in Python

Chips N Salsa ⭐ 48

A Java library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithms

A C# Library to aid programming for meta-heuristics

Implementation of metaheuristic optimization methods in Python for scientific, industrial, and educational scenarios. Experiments can be executed in parallel or in a distributed fashion. Experimental results can be evaluated in various ways, including diagrams, tables, and export to Excel.

Implementation of Late Acceptance Hill Climbing (lahc) algorithm

Pyoptframe Dev ⭐ 8

Python bindings for OptFrame C++ Functional Core

Inveniemus.js ⭐ 6

A search and optimization library, focusing on metaheuristics.

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1-6 of 6 search results

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