Results 21 to 30 of about 12,241,994 (329)
Partitioning Search Spaces of a Randomized Search [PDF]
This paper studies the following question: given an instance of the propositional satisfiability problem, a randomized satisfiability solver, and a cluster of n computers, what is the best way to use the computers to solve the instance? Two approaches, simple distribution and search space partitioning as well as their combinations are investigated both
Niemelä Ilkka +2 more
openaire +3 more sources
Asymmetric Lévy Flights Are More Efficient in Random Search
We study the first-arrival (first-hitting) dynamics and efficiency of a one-dimensional random search model performing asymmetric Lévy flights by leveraging the Fokker–Planck equation with a δ-sink and an asymmetric space-fractional derivative operator ...
A. Padash +4 more
semanticscholar +1 more source
On the random search for a randomly moving particle
This paper discusses some methods based on the random search problem over the bound domain. The particle moves randomly with a bounded two-dimensional stochastic process in a bounded area.
M. El-Hadidy
semanticscholar +1 more source
Weighted Random Search for CNN Hyperparameter Optimization [PDF]
Nearly all model algorithms used in machine learning use two different sets of parameters: the training parameters and the meta-parameters (hyperparameters).
Razvan Andonie, A. Florea
semanticscholar +1 more source
Minimum weight design of truss structure via force method and Jaya algorithm” [PDF]
This research aims to minimize the weight of truss structures using force method formulation as a structural analyzer and Jaya algorithm as an optimizer tool.
A. Barzegari +2 more
doaj +1 more source
Plant Disease Detection Using Deep Convolutional Neural Network
In this research, we proposed a novel 14-layered deep convolutional neural network (14-DCNN) to detect plant leaf diseases using leaf images. A new dataset was created using various open datasets.
J. Arun Pandian +5 more
doaj +1 more source
Optimizing Persistent Random Searches [PDF]
4 pages, 4 ...
Tejedor, Vincent +2 more
openaire +3 more sources
Current version: v1.0.0 Changes to the Trove API mean that the techniques I've previously used to select resources at random will no longer work. This repository includes some alternative ways of retrieving random-ish works and newspaper articles from ...
Sherratt, Tim
core +2 more sources
Generalization of navigation memory in honeybees
Flying insects like the honeybee learn multiple features of the environment for efficient navigation. Here we introduce a novel paradigm in the natural habitat, and ask whether the memory of such features is generalized to novel test conditions. Foraging
Eric Bullinger +2 more
doaj +1 more source
Agent-Based Collaborative Random Search for Hyperparameter Tuning and Global Function Optimization
Hyperparameter optimization is one of the most tedious yet crucial steps in training machine learning models. There are numerous methods for this vital model-building stage, ranging from domain-specific manual tuning guidelines suggested by the oracles ...
Ahmad Esmaeili +2 more
doaj +1 more source

