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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… 
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Convex functionList of numerical analysis topicsMathematical optimizationTest functions for optimization

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Path Planning of Mobile Robot Based on Neural Process-Particle Swarm Optimization
Aiming at the local optimal problem caused by precocious particles in the path planning process of mobile robot by traditional… 
2013
2013
Modified Bayesian Optimization Algorithm for Sparse Linear Antenna Design
In this paper, a modifled Bayesian Optimization Algo- rithm (BOA), named M-BOA, is proposed to introduce a suitable mu- tation… 
2012
2012
PSO as a meta-search for hyper-GA system to evolve optimal agendas for sequential multi-issue negotiation
This paper proposes a new technique based on Hyper Genetic Algorithm (GA) and Particle Swarm Optimisation (PSO) to evolve optimal… 
2011
2011
Hybrid artificial bee colony algorithm with chemotaxis behavior of bacterial foraging optimization algorithm
Artificial bee colony (ABC) algorithm is a new global stochastic optimization algorithm based on the collective foraging behavior… 
2009
2009
On the Use of Random Variables in Particle Swarm Optimizations: A Comparative Study of Gaussian and Uniform Distributions
The particle swarm optimization (PSO), now widely used in the electromagnetics community, is a robust evolutionary method based… 
2007
2007
Searching performance of a real-coded genetic algorithm using biased probability distribution functions and mutation
One excellent crossover method for the real-coded genetic algorithm (RGA) is the unimodal normal distribution crossover method… 
2006
2006
Fuzzy adaptive search method for parallel genetic algorithm with island combination process
2004
2004
An Effective Real-Parameter Genetic Algorithm for Multimodal Optimisation
Evolutionary Algorithms (EAs) are a useful tool to tackle real‐world optimisation problems. Two important features that make… 
2004
2004
On the Importance of Information Speed in Structured Populations
A radius-based separation of selection and recombination spheres in diffusion model EAs is introduced, enabling a new taxonomy… 
2001
2001
Bayesian evolutionary algorithms for continuous function optimization
Recently many researchers have studied the estimation of distribution algorithms (EDAs) as an optimization method. While most… 
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