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[PDF] Top 20 Randomized Population with Taguchi’s Method for Multi-objective Optimization

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Randomized Population with Taguchi’s Method for Multi-objective Optimization

Randomized Population with Taguchi’s Method for Multi-objective Optimization

... additional randomized population to expand the search space in genetic algorithms to produce better individuals and thus lead to better ...The randomized population is not just randomly ... See full document

6

Solving the Multi-objective Dynamic Optimization Problems with Fuzzy Satisfying Method

Solving the Multi-objective Dynamic Optimization Problems with Fuzzy Satisfying Method

... determined sequentially at first. The payoff table is established by applying these optimal control policies to individual objective. A simple monotonic increasing or decreasing membership function is then used to ... See full document

18

Optimization of a multi-response problem in Taguchi's dynamic system

Optimization of a multi-response problem in Taguchi's dynamic system

... of Taguchi method for achieving the target, not only for the quality ...the multi-response ...procedure with six steps to optimize a multi-response problem in ... See full document

16

A particle swarm optimization for multi-objective flowshop scheduling

A particle swarm optimization for multi-objective flowshop scheduling

... the objective of most of these has been the minimization of the maximum comple- tion time ...PSO method for solving a flowshop scheduling problem with multiple objectives, including ... See full document

10

Multi-objective optimization of multi-echelon supply chain networks with uncertain product demands and prices

Multi-objective optimization of multi-echelon supply chain networks with uncertain product demands and prices

... A multi-product, multi-stage, and multi-period scheduling model is proposed in this paper to deal with multiple incommensurable goals for a multi-echelon supply chain network ... See full document

14

OPTIMIZATION OF AN ULTRATHIN CENTRIFUGAL FAN BASED ON THE TAGUCHI METHOD WITH FUZZY LOGICS

OPTIMIZATION OF AN ULTRATHIN CENTRIFUGAL FAN BASED ON THE TAGUCHI METHOD WITH FUZZY LOGICS

... structure for flexible plastic”, International Journal of Engineering and Technology Innovation, ...Huang, S.C., “Application of Taguchi method to robust multi-criteria optimum design ... See full document

4

Multi-Objective Based Optimization for Switched Reluctance Machines Using Fuzzy and Genetic Algorithms

Multi-Objective Based Optimization for Switched Reluctance Machines Using Fuzzy and Genetic Algorithms

... methodology for sizing a preliminary design of a switched reluctance ...proposed method combines the use of genetic and fuzzy algorithms together to simplify the design ...utilized for handling a ... See full document

4

Enhanced parallel cat swarm optimization based on the Taguchi method

Enhanced parallel cat swarm optimization based on the Taguchi method

... the population size of the proposed EPCSO meth- od is set to 16 and the populations are divided into four ...repeated with 25 runs. The experiment is run on an Intel Core 2 2.4G CPU with the GCC ... See full document

6

Enhanced parallel cat swarm optimization based on the Taguchi method

Enhanced parallel cat swarm optimization based on the Taguchi method

... the population size of the proposed EPCSO meth- od is set to 16 and the populations are divided into four ...repeated with 25 runs. The experiment is run on an Intel Core 2 2.4G CPU with the GCC ... See full document

5

Using Neural-Taguchi Method and Genetic Algorithm in Optimization of Multi-Response Process Control 洪松男、駱景堯

Using Neural-Taguchi Method and Genetic Algorithm in Optimization of Multi-Response Process Control 洪松男、駱景堯

... years, Taguchi method has been widely applied in the practical applications for optimizing the process parameters in the manufacturing ...the method only takes a single quality attribute into ... See full document

2

A multi-objective approach in the optimization of optical systems taking into account tolerancing

A multi-objective approach in the optimization of optical systems taking into account tolerancing

... a multi-configuration approach to design insensitive system ...this method each configuration represents a deviation of the original ...fast with the number of elements in the system due to the ... See full document

9

Optimization of multi-response processes using the VIKOR method

Optimization of multi-response processes using the VIKOR method

... the Taguchi method concern only the optimization of a single-response ...procedures for optimizing multi-response problems have been developed in recent years, the quality indices ... See full document

9

Hybrid Taguchi-based particle swarm optimization for flowshop scheduling problem

Hybrid Taguchi-based particle swarm optimization for flowshop scheduling problem

... problem with two objective functions The following discussion uses the symbols n/m/P/Obj to describe the ...the objective functions in which the schedule is to be ...time for each job on each ... See full document

9

Hybrid sliding level Taguchi-based particle swarm optimization for flowshop scheduling problems

Hybrid sliding level Taguchi-based particle swarm optimization for flowshop scheduling problems

... problem with two objective functions The following discussion uses the symbols n/m/P/Obj to describe the ...the objective functions in which the schedule is to be ...time for each job on each ... See full document

8

SVM-RFE Based Feature Selection and Taguchi Parameters Optimization for Multiclass SVM Classifier

SVM-RFE Based Feature Selection and Taguchi Parameters Optimization for Multiclass SVM Classifier

... The method is known as 𝑘-fold ...features for Dermatology and Zoo databases, using RFE-SVM, is summarized as follows: Dermatology = {V1, V16, V32, V28, V19, V3, V17, V2, V15, V21, V26, V13, V14, V5, V18, ... See full document

11

Particle swarm optimization with query-based learning for multi-objective power contract problem

Particle swarm optimization with query-based learning for multi-objective power contract problem

... To collect xarifiids, the coral, together with the seawater in the bag, were emptied into a bucket to which sufficient 95% ethanol was added to make it an approximately 5% solution. After several hours, the ... See full document

5

Interactive fuzzy satisfying method for optimal multi-objective VAr planning in power systems

Interactive fuzzy satisfying method for optimal multi-objective VAr planning in power systems

... In this paper, an interactive fuzzy satisfying method was proposed, to deal with the imprecise or fuzzy goals of the D M in multi-objective VAR planning problems, con- si[r] ... See full document

7

Method for solving quasi-concave and non-concave fuzzy multi-objective programming problems

Method for solving quasi-concave and non-concave fuzzy multi-objective programming problems

... a method based on linear programming techniques to treat quasi-concave and non-concave fuzzy multi-objective programming (FMOP) ...proposed method initially presents a piecewise linear ... See full document

23

Optimization of electrodischarge machining parameters on ZrO2 ceramic using the Taguchi method

Optimization of electrodischarge machining parameters on ZrO2 ceramic using the Taguchi method

... associated with the EDM process such as material removal rate (MRR), electrode wear rate (EWR), and surface roughness (SR) were explored through the experimental study according to an L18 orthogonal array based on ... See full document

6

Optimization of resistance spot welding process using taguchi method and a neural network

Optimization of resistance spot welding process using taguchi method and a neural network

... quality for high-strength steel sheet, such as welding current, electrode force, welding time, and so ...istics for the particular welding system and environmental ...The Taguchi method, a ... See full document

7

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