Evolutionary multi-objective optimization platform
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Updated
May 20, 2024 - MATLAB
Evolutionary multi-objective optimization platform
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
A PyTorch Library for Multi-Task Learning
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Jupyter/IPython notebooks about evolutionary computation.
Generalized and Efficient Blackbox Optimization System.
Deep learning toolkit for Drug Design with Pareto-based Multi-Objective optimization in Polypharmacology
Generalized and Efficient Blackbox Optimization System
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
🛍 A real-world e-commerce dataset for session-based recommender systems research.
Deep Reinforcement Learning for Multiobjective Optimization. Code for this paper
[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
A framework for Big Data Optimization with multi-objective metaheuristics
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
High-performance metaheuristics for optimization coded purely in Julia.
Multi-objective Bayesian optimization
A Universal Deep Reinforcement Learning Framework
Official public repository for the XtalOpt crystallographic multi-objective evolutionary algorithm
Single- and Multi-Objective Optimization Test Functions
AutoOED: Automated Optimal Experimental Design Platform
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