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[PDF] Top 20 Reliability Based Optimization: Small Sample Optimization Strategy

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Reliability Based Optimization: Small  Sample Optimization Strategy

Reliability Based Optimization: Small Sample Optimization Strategy

... of reliability assessment and stochastic optimization within one procedure, it has to be noted, that the vector y , may include two sets of statistical parameters of random vari- ...For optimization ... See full document

7

Reliability Design Optimization of Casing Cap by Sample Test and FEA

Reliability Design Optimization of Casing Cap by Sample Test and FEA

... In addition, the effects of stress on the variation in the pressure tank horizontal support and stand by Finite Element was studied in [5]. This work demonstrated the techniques to improve the elements to simulate the ... See full document

5

The Effect of Reliability Index Values on Resulting Reliability-Based Topology Optimization Configurations: Numerical Validation by Shape Optimization

The Effect of Reliability Index Values on Resulting Reliability-Based Topology Optimization Configurations: Numerical Validation by Shape Optimization

... topology optimization, the designer produces only one deterministic topo- ...the reliability-based topology optimization model leads to structures that are more ro- bust than those obtained by ... See full document

13

Design and reliability based optimization of the piezoelectric flex transducer

Design and reliability based optimization of the piezoelectric flex transducer

... to sample the global design space using limited sampling points and find the vicinity of the optimal ...different optimization methods is compared and discussed to illustrate the advantage of the ... See full document

209

Accelerating the image processing by the optimization strategy for deep learning algorithm DBN

Accelerating the image processing by the optimization strategy for deep learning algorithm DBN

... (EVI). Based on the four characteristic index parameters, five different text sample sets are extracted as shown in Table ...the sample set include desert, river, and so on; the training samples and ... See full document

8

Reliability based optimization for multiple constraints with evolutionary algorithms

Reliability based optimization for multiple constraints with evolutionary algorithms

... constraint strategy in which only a few active constraints are ...of reliability. The earlier approach [10] used an optimistic reliability computation thereby resulting in an ap- parently better ... See full document

9

Theoretical Investigation of Combined Use of PSO, Tabu Search and Lagrangian Relaxation methods to solve the Unit Commitment Problem

Theoretical Investigation of Combined Use of PSO, Tabu Search and Lagrangian Relaxation methods to solve the Unit Commitment Problem

... one optimization to the ...adopted strategy is to extend the search space provided for the best optimal solutions which are stored in the tabu ...approach based on particle swarm optimization ... See full document

9

A Method Based on Particle Swarm Optimization to Retrieve the Shape of Red Blood Cells: a Preliminary Assessment

A Method Based on Particle Swarm Optimization to Retrieve the Shape of Red Blood Cells: a Preliminary Assessment

... swarm optimization (PSO) algorithm, a global optimization technique based on cooperative swarming strategy, has been used to solve inverse scattering problem for red blood cells (RBCs) and ... See full document

9

A Sample Profile based Optimization Method with Better Precision

A Sample Profile based Optimization Method with Better Precision

... Sampling is a statistical approach and its results are not exact. For example, consider the loop shown in Figure 1. The loop is comprised of one basic block that iterates 104166667 times. The first column of numbers in ... See full document

7

A Reliability based Modelling and Optimization of an Integrated Production and Preventive Maintenance Activities in Flowshop Scheduling Problem

A Reliability based Modelling and Optimization of an Integrated Production and Preventive Maintenance Activities in Flowshop Scheduling Problem

... A small value for θ would result in very little or even no PM operations while a very large value would possibly impede performing certain processing of jobs on machines without interruptions due to the ... See full document

8

Inverse Optimum Safety Factor Method for Reliability-Based Topology Optimization Applied to Free Vibrated Structures

Inverse Optimum Safety Factor Method for Reliability-Based Topology Optimization Applied to Free Vibrated Structures

... This strategy has been efficiently applied on different truss ...topology optimization method for detailed design of continuum struc- tures, in which the unknown but bounded uncertainties (UBB) existing in ... See full document

12

Improved shuffled frog leaping algorithm on system reliability analysis

Improved shuffled frog leaping algorithm on system reliability analysis

... heuristic optimization methods have received more and more attention on system reliability ...system reliability are nonlinear. Thereby, a hybrid optimization method was proposed, based ... See full document

7

Availability Management of Complex Technical Systems

Availability Management of Complex Technical Systems

... This paper presents, the theoretical bases of technical systems availability management process, with special emphasis on methodology applied to complex systems, the elements of which according to the own techinal ... See full document

11

Design of Power Optimization using C2H Hardware Accelerator and NIOS II Processor

Design of Power Optimization using C2H Hardware Accelerator and NIOS II Processor

... [6] This article discusses the application of the NIOS II processor in a PFC converter. This processor was provided by ALTERA to be implemented in FPGA. The FPGA is capable of a parallel processing and hardware ... See full document

5

Optimal High Purity Acetone Production in a Batch Extractive Distillation Column

Optimal High Purity Acetone Production in a Batch Extractive Distillation Column

... dynamic optimization strategy is incorporated to solve an optimization problem formulating with an objective function: to maximize the weight of distillate product for a given product specification, ... See full document

5

Vibration Suppression of a Cantilever Beam Using Multi-Mode Dynamic Vibration Absorbers

Vibration Suppression of a Cantilever Beam Using Multi-Mode Dynamic Vibration Absorbers

... The genetic algorithm parameters to be used in this work are described as follows: probability of crossover of 0.6; probability of mutation of 0.02. The population size and number of generations normally depends of the ... See full document

11

Reliability Based Design and Optimization of Trusses by Genetic Algorithms

Reliability Based Design and Optimization of Trusses by Genetic Algorithms

... Reliability of a structure can be defined as an ability that fulfills its design purpose for some specified period. There is a risk of failure, due to the sources of uncertainty present in the structural designs, ... See full document

6

An Efficient Approach for Reliability Analysis and Reliability Based Design Optimization of Helical Spring

An Efficient Approach for Reliability Analysis and Reliability Based Design Optimization of Helical Spring

... more reliability, more durability, higher qualities and especially at lower ...the reliability of system of a given design is required in order to optimize the design, while maintaining a prescribed ... See full document

15

Optimizing Designs based on Risk Approach

Optimizing Designs based on Risk Approach

... It was decided not to use a standard or predefined GA. The decision was based on that the generic algorithms do not incorporate information of the problem. This is not the recommendable thing for cases of extreme ... See full document

6

A new optimal design approach for plate-fin heat exchangers by evolutionary computation

A new optimal design approach for plate-fin heat exchangers by evolutionary computation

... Considering the various objectives, ahead of the design procedure, the optimization objectives should be considered carefully by the designer. Due to the complexity of the PFHEs design process, it has remained an ... See full document

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