Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
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Updated
Nov 25, 2024 - Python
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
[JMLR-2024] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants (-> evolutionary algorithms/swarm-based optimizers/pattern search/random search/...). https://jmlr.org/papers/v25/23-0386.html
Evolutionary Computation: A Modern Perspective ---> This is a free online book, which is actively updated now (1st Edition: from 2023 to 2027).
A ray-based library of Distributed POPulation-based OPtimization for Large-Scale Black-Box Optimization.
A pure-MATLAB library for POPulation-based Large-Scale Black-Box Optimization (pop-lsbbo).
A data-driven initialization to population-based search strategies
An implementation of the new Slime Mold Algorithm, a heuristic optimization technique, in combination with filter/statistical fitness functions for selecting the best subset of features from text datasets.
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