A hybrid meta-heuristic for global optimisation using low-discrepancy sequences of points

DOI10.1016/j.cor.2008.07.004zbMath1189.90123OpenAlexW2018066814MaRDI QIDQ1038280

J. Blot

Publication date: 17 November 2009

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2008.07.004

zbMATH Keywords

local minima problem

Mathematics Subject Classification ID

Nonconvex programming, global optimization (90C26) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (6)

Subsampling bias and the best-discrepancy systematic cross validation ⋮ Comparison of different metaheuristic algorithms based on intercriteria analysis ⋮ Integrated experimental design and nonlinear optimization to handle computationally expensive models under resource constraints ⋮ Studying the effect of using low-discrepancy sequences to initialize population-based optimization algorithms ⋮ Rosenbrock artificial bee colony algorithm for accurate global optimization of numerical functions ⋮ Global optimization based on novel heuristics, low-discrepancy sequences and genetic algorithms

Uses Software

• Tabu search

Cites Work

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• SPT: A stochastic tunneling algorithm for global optimization

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