Searching for "Optimization - Introduction." – sorted by Relevance.
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Nondifferentiable Optimization: Introduction, Applications and Algorithms
- 1 date: August 1, 1999 file: ElGoVi13 NONDIFFERENTIABLE OPTIMIZATION: INTRODUCTION, APPLICATIONS
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A New Approach for Sizing, Shape and Topology Optimization
- finite element module for the efficient sizing, shape and topology optimization. The introduction gives a
- Cited by 2 (1 self) – Add To MetaCart
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Stochastic Formulations Of The Redundancy Allocation Problem
- . INTRODUCTION Determination of an optimal or near optimal design is very important to economically produce new
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VLSI module placement based on rectangle-packing by the sequence pair
- of the packing is uncountably infinite, the key issue for successful optimization is the introduction of a finite
- Cited by 56 (2 self) – Add To MetaCart
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A Trust Region Framework For Managing Approximation Models In Engineering Optimization
- . Introduction We describe an approach to managing the use of approximate models in optimization. Our approach
- Cited by 14 (6 self) – Add To MetaCart
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A Genetic Algorithm For Vlsi Physical Design Automation
- for the interconnection nets are optimized. INTRODUCTION One of the main feature of a genetic algorithm applied
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Response Surface Model Building And Multidisciplinary Optimization Using D-Optimal Designs
- AIAA-98-4759 RESPONSE SURFACE MODEL BUILDING AND MULTIDISCIPLINARY OPTIMIZATION USING D-OPTIMAL
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Sensitivity Of Lumped Constraints Using The Adjoint Method
- are then used in optimization. Introduction Sensitivity of structural response quantities, such as functions
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A Self-Adaptive Genetic Algorithm For Function Optimization
- A SELF-ADAPTIVE GENETIC ALGORITHM FOR FUNCTION OPTIMIZATION Jos'e Galav'iz Instituto de
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Fast EM Learning of a Family of PCFGs
- and realize fast EM learning of various extensions of PCFGs. The point of our optimization is the introduction
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