Skip to search formSkip to main contentSkip to account menu

Rastrigin function

In mathematical optimization, the Rastrigin function is a non-convex function used as a performance test problem for optimization algorithms. It is a… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
A set of accelerated first order algorithms with memory are proposed for minimising strongly convex functions. The algorithms are… 
2016
2016
In the last two decades, a number of optimization techniques have been developed for solving various optimization problems… 
2014
2014
In many real-world optimization problems, a wide range of uncertainties have to be taken into account. Therefore, real-world… 
2013
2013
This paper proposes an efficient learning method for the layered neural networks based on the selection of training data and… 
2012
2012
The optimization algorithms that imitate nature have acquired much attention principally mechanisms for solving the difficult… 
2012
2012
In this study, a new variant of Particle Swarm Optimization, Electoral Cooperative PSO (ECPSO), is presented and applied into… 
2008
2008
Synopsis The goal of this assignment is for you to become familiarized with I implementing an Evolutionary Algorithm (EA) with… 
2004
2004
Evolutionary Algorithms (EAs) are a useful tool to tackle real‐world optimisation problems. Two important features that make… 
1999
1999
Rastrigin function is an important highly multimodal function as abenchmark instance to test global optimization algorithms. It…