SoftwareQuality plays a critical role in software development. This paper emphasize on involvement of Kansei Engineering in the field of test case generation. multi-objective genetic algorithm under multi-objective op...
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ISBN:
(纸本)9789380544168
SoftwareQuality plays a critical role in software development. This paper emphasize on involvement of Kansei Engineering in the field of test case generation. multi-objective genetic algorithm under multi-objective optimization methodology is used to generate test cases covering Boolean specific conditions.
This paper describes an extension of a method for designing products with built-in disassembly means developed in our previous work, as applied to a realistic example of a desktop computer assembly. Given component ge...
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ISBN:
(纸本)1424400813
This paper describes an extension of a method for designing products with built-in disassembly means developed in our previous work, as applied to a realistic example of a desktop computer assembly. Given component geometries and revenues, the method simultaneously determines, through an optimization process, the spatial configuration of component, locator and fasteners such that the product can be most economically disassembled via a domino-like "self-disassembly" process triggered by the removal of one or a few fasteners. A multi-objective genetic algorithm is utilized to search for Pareto-optimal designs in terms Of four objectives: 1) satisfaction of the distance specification among components, 2) efficient use of locators on components, 3) profit of overall disassembly process, and 4) mass fraction of retrieved components. The method is applied to a simplified model of Power Mac G4 cube (R), and the results inspired a modification to the current design that can improve the ease of disassembly.
A transfer system in roving-spinning unit that establishes a connection between spindles of roving frame and spinning frame achieves the manipulations automatically in spinning workshop. We study that ISIGHT drive ANS...
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ISBN:
(纸本)9783037855751
A transfer system in roving-spinning unit that establishes a connection between spindles of roving frame and spinning frame achieves the manipulations automatically in spinning workshop. We study that ISIGHT drive ANSYS to conduct integrated optimization of the key conveyor system components in this paper, the ANSYS-ISIGHT integration is successful. Before the optimal design, using the Latin method to design experiments. The experimental design can show the degree that the state variables and the target variables are affected by each input factor. The factor that has little impact on the results can be removed, thus the efficiency of the optimization can be improved. After the experimental design, using the multi-objective neural network to optimize the beam. Giving the beam safety conditions, including intensity, toughness, modal, stability. We optimize the structure base on security conditions, the volume of the beam in roving and yarn reservoir area has been largely decreased. Achieving the objectives of the lightweight design.
This paper presents an efficient BIST scheme with low power consumption for sequential circuits. The BIST structure is obtained by using a ghost-FSM. A multi-objective genetic algorithm (MOGA) is employed to optimize ...
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ISBN:
(纸本)0769519512
This paper presents an efficient BIST scheme with low power consumption for sequential circuits. The BIST structure is obtained by using a ghost-FSM. A multi-objective genetic algorithm (MOGA) is employed to optimize the twin criteria of BIST quality and power consumption of the resultant circuit simultaneously. The scheme ensures enhancement of fault coverage along with minimization of power overhead of the BISTed circuits. Experimental results on MCNC benchmarks confirm the effectiveness of the proposed scheme to produce circuits with improved fault efficiency along with lower power consumption.
In view of the high-precision design requirements of suspension system under high-speed conditions, this paper used multi-objective genetic algorithm (MOGA) to carry out pareto optimization design of five-degree-of-fr...
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ISBN:
(纸本)9788986510218
In view of the high-precision design requirements of suspension system under high-speed conditions, this paper used multi-objective genetic algorithm (MOGA) to carry out pareto optimization design of five-degree-of-freedom magnetic bearing system, and used finite element method to analyze the structure before and after optimization based on electromagnetic field, stress field and rotor dynamics theory respectively.
Sorting by reversals is a simplified version of the genome rearrangement problem that seeks to discover the evolutionary relationship between different genomes, and is one of the many challenging problems in Bioinform...
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ISBN:
(纸本)9781424478354
Sorting by reversals is a simplified version of the genome rearrangement problem that seeks to discover the evolutionary relationship between different genomes, and is one of the many challenging problems in Bioinformatics. Solving the problem optimally has been proved to be NP-Hard and so a selection of approximation algorithms have been developed. In this paper a new mapping order is introduced to solve the problem of sorting unsigned permutations using a specialized multi-objective genetic algorithm. Our modified geneticalgorithm uses a population with variable length individuals to maintain a worst time running time complexity of O(n(4) log(2) n), where n is the problem size. The results show that this approach is more effective than the 3/2 heuristic method and previous geneticalgorithm approaches.
Many industrial companies are trying to improve their operation's sustainability. However, these efforts towards change are usually governed by economic considerations. This serves to neglect or at least diminish ...
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Many industrial companies are trying to improve their operation's sustainability. However, these efforts towards change are usually governed by economic considerations. This serves to neglect or at least diminish the perceivable relevance of ecologic or social consequences for investigated alternatives. This paper discusses the implications of multi-criterial target systems which extend the scope of considerations beyond economics to support the realisation of proactive environmental strategies. A special focus is set on the definition of targets as well as decision-making in brown-field planning projects. The findings are applied in a simulation-based study on the parameterisation of an energy sensitive production control strategy. (C) 2016 The Authors. Published by Elsevier B.V.
A wind turbine transformer (WTT) is designed using a 3D wound core while the transformer's total owning cost (TOC) and its inrush current performance realized as the two objective functions in a multi-objective op...
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ISBN:
(纸本)9781509027057
A wind turbine transformer (WTT) is designed using a 3D wound core while the transformer's total owning cost (TOC) and its inrush current performance realized as the two objective functions in a multi-objective optimization process. multi-objective genetic algorithm is utilized to derive Pareto optimal solutions. The effects of inrush current improvement on other operating and design parameters of the transformer such as: losses, dimensions, and weights are investigated. An approach is presented to select one design from optimal Pareto solutions based on relative improvement of the inrush current performance. Finally, this multi-objective optimum wind turbine transformer design is compared with an optimum transformer design obtained when just TOC is the objective function.
The prediction of power output from photovoltaic generation clusters is crucial for optimizing the dispatch of regional photovoltaic generation. Enhancing the accuracy of power prediction for photovoltaic power plant ...
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