Random number generators in genetic algorithms for unconstrained and constrained optimization

DOI10.1016/j.na.2008.11.084zbMath1238.90139OpenAlexW2055529094MaRDI QIDQ419813

Andrea Reese

Publication date: 20 May 2012

Published in: Nonlinear Analysis. Theory, Methods \& Applications. Series A: Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.na.2008.11.084

zbMATH Keywords

unconstrained optimizationconstrained optimizationgenetic algorithmrelative errorpseudo-random numberquasi-random number

Mathematics Subject Classification ID

Nonlinear programming (90C30) Approximation methods and heuristics in mathematical programming (90C59) Random number generation in numerical analysis (65C10)

Related Items (1)

A hybrid genetic algorithm with the Baldwin effect

Uses Software

• Genocop

Cites Work

• The bisection method in higher dimensions
• Order statistics and selection methods of evolutionary algorithms
• Quasi-random initial population for genetic algorithms
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