{
"item_title" : "Nonlinear Interval Optimization for Uncertain Problems",
"item_author" : [" Chao Jiang", "Xu Han", "Huichao Xie "],
"item_description" : "Introduction.- Fundamentals of interval number theory.- Mathematical transformation models of nonlinear interval optimization.- Interval optimization based on hybrid optimization algorithms.- Interval optimization based on interval structural analysis.- Interval optimization based on sequential linear programming.- Interval optimization based on surrogate models.- Interval multidisciplinary optimization design.- Interval optimization based on a novel interval possibility degree model.- Interval optimization considering parameter dependences.- Interval multi-objective optimization design.- Interval optimization considering tolerance design.- Interval differential evolution algorithm.",
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Nonlinear Interval Optimization for Uncertain Problems
Other Available Formats
Overview
Introduction.- Fundamentals of interval number theory.- Mathematical transformation models of nonlinear interval optimization.- Interval optimization based on hybrid optimization algorithms.- Interval optimization based on interval structural analysis.- Interval optimization based on sequential linear programming.- Interval optimization based on surrogate models.- Interval multidisciplinary optimization design.- Interval optimization based on a novel interval possibility degree model.- Interval optimization considering parameter dependences.- Interval multi-objective optimization design.- Interval optimization considering tolerance design.- Interval differential evolution algorithm.
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Details
- ISBN-13: 9789811585487
- ISBN-10: 9811585482
- Publisher: Springer
- Publish Date: December 2021
- Dimensions: 9.21 x 6.14 x 0.62 inches
- Shipping Weight: 0.93 pounds
- Page Count: 284
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