Gradient-Free-Optimizers VS PSO-cont-sched

Compare Gradient-Free-Optimizers vs PSO-cont-sched and see what are their differences.

Gradient-Free-Optimizers

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces. (by SimonBlanke)
Optimization gradient-free-optimization bayesian-optimization particle-swarm-optimization evolution-strategies simulated-annealing random-search hill-climbing meta-heuristic Machine Learning tree-of-parzen-estimator hyperparameter-optimization blackbox-optimization constrained-optimization nelder-mead hyperactive
Source Code
simonblanke.github.io
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PSO-cont-sched

Made for a college project, this Java program attempts to demonstrate how PSO might be used to solve container scheduling problems. (by Senozoid)
container-scheduling particle-swarm-optimization

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Gradient-Free-Optimizers PSO-cont-sched
11 1
1,108 0
- -
5.0 10.0
5 days ago 11 months ago
Python Java
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Gradient-Free-Optimizers

Posts with mentions or reviews of Gradient-Free-Optimizers. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-28.

PSO-cont-sched

Posts with mentions or reviews of PSO-cont-sched. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Gradient-Free-Optimizers and PSO-cont-sched you can also consider the following projects:

Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

PSOClustering - This is an implementation of clustering IRIS dataset with particle swarm optimization(PSO)

opytimizer - 🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.

hego - Metaheuristics / Blackbox Optimization Algorithms for Go: Simulated Annealing, Genetic Algorithm, Ant Colony Optimization, Tabu Search, Particle Swarm Optimization ...

surrogate-models - A collection of surrogate models for sequence model based optimization techniques

scikit-opt - Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

pybobyqa - Python-based Derivative-Free Optimization with Bound Constraints

evoli - Genetic Algorithm and Particle Swarm Optimization

optimization-tutorial - Tutorials for the optimization techniques used in Gradient-Free-Optimizers and Hyperactive.

zoofs - zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

urh - Universal Radio Hacker: Investigate Wireless Protocols Like A Boss

gago - :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)

Gradient-Free-Optimizers vs Hyperactive PSO-cont-sched vs PSOClustering Gradient-Free-Optimizers vs opytimizer PSO-cont-sched vs hego Gradient-Free-Optimizers vs surrogate-models PSO-cont-sched vs scikit-opt Gradient-Free-Optimizers vs pybobyqa PSO-cont-sched vs evoli Gradient-Free-Optimizers vs optimization-tutorial PSO-cont-sched vs zoofs Gradient-Free-Optimizers vs urh PSO-cont-sched vs gago