An improved simulated annealing for solving the linear constrained optimization problems

DOI10.1016/j.amc.2006.05.070zbMath1105.65330OpenAlexW1991704425MaRDI QIDQ864764

Mingjun Ji, Huanwen Tang, Zhihong Jin

Publication date: 13 February 2007

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2006.05.070

zbMATH Keywords

numerical examplessimulated annealingtabu searchglobal optimization algorithmGENOCOPlinear constrained optimization problem

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05)

Related Items (5)

A method combining genetic algorithm with simultaneous perturbation stochastic approximation for linearly constrained stochastic optimization problems ⋮ Global optimization by an improved differential evolutionary algorithm ⋮ Global optimization of hyper-parameters in reservoir computing ⋮ NEW SIMULATED ANNEALING ALGORITHMS FOR CONSTRAINED OPTIMIZATION ⋮ Chaos optimization algorithms based on chaotic maps with different probability distribution and search speed for global optimization

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• Taboo Search: An Approach to the Multiple Minima Problem
• Equation of State Calculations by Fast Computing Machines

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