Fast randomized algorithms for combinatorial optimization
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Updated
Sep 15, 2017 - C++
Fast randomized algorithms for combinatorial optimization
Code repository of Embedded Bandits for Large-Scale Black-Box Optimization (AAAI'17)
Code for Dividing Rectangles Attack Multi-Objective Optimization
Implementation of the (μ/μ,λ)-Evolution Strategy (ES) with Search Path algorithm in C++
A Python easy implementation of the Nelder-Mead method
Code for executing virtual experiments with intelligent bet-and-run strategies for optimization, which efficiently utilize a total computational budget for getting good results by first starting n runs and after some time pick one of them to continue for the remaining budget.
A Java package for scientific computing
The CC-D-DGDG-PSO algorithm for solving large scale unconstrained black-box optimization problems with divide-and-conquer strategy.
[LeGO/GOW 2018] "On the Application of Danskin’s Theorem to Derivative-Free Minimax Optimization" by Abdullah Al-Dujaili, Shashank Srikant, Erik Hemberg, Una-May O'Reilly
Black-Box optimization of a rotor's shape using Projected Gradient Descent
dymola project of controlled angular overshoot of a pendulum
A pure-MATLAB library of EVolutionary (population-based) OPTimization for Large-Scale black-box continuous Optimization (evopt-lso).
A pure-MATLAB library for POPulation-based Large-Scale Black-Box Optimization (pop-lsbbo).
Yes, it's a camel case.
A Golang library to help implement kurobako's solvers and problems
GARNE: Genetic-Algorithm-with-Recurrent-Network-and-Novelty-Exploration
This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).
Python implementation of Scalable Combinatorial Bayesian Optimization with Tractable Statistical Models
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