AN EFFICIENT OPTIMIZATION METHOD FOR UNCERTAIN PROBLEMS BASED ON NON-PROBABILISTIC INTERVAL MODEL

DOI10.1142/S021987621100285XzbMath1245.74079OpenAlexW2021873084MaRDI QIDQ2905160

X. Han, Zhe Zhang, Chao Jiang, De-Yi Li

Publication date: 24 August 2012

Published in: International Journal of Computational Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s021987621100285x

zbMATH Keywords

genetic algorithmuncertain optimizationnonlinear interval optimizationnon-probabilistic interval modellinear sequential programming

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70) General methods in interval analysis (65G40) Optimization problems in solid mechanics (74P99)

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Cites Work

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• Optimization of structures with uncertain constraints based on convex model and satisfaction degree of interval
• A nonlinear interval number programming method for uncertain optimization problems
• A sequential nonlinear interval number programming method for uncertain structures
• Multiobjective programming in optimization of the interval objective function
• Computational Inverse Techniques in Nondestructive Evaluation
• Comparison of static response of structures using convex models and interval analysis method
• Interpretation of inequality constraints involving interval coefficients and a solution to interval linear programming.

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