Transport Aircraft Conceptual Design Optimization Using Real Coded Genetic Algorithm

Singh, Vedant; Sharma, Somesh Kumar; Vaibhav, S.

doi:10.1155/2016/2813541

Cited by 19 publications

(18 citation statements)

References 20 publications

(25 reference statements)

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“…Thus, the friction material design and development is believed to be a multiple criteria decision making (MCDM) problem . Generally, MCDM techniques are quantitative methodologies used to solve problems which involves huge number of alternatives and criterion and successfully applied to solve various engineering decision‐making problems .…”

Section: Introductionmentioning

confidence: 99%

Application of hybrid analytical hierarchy process and complex proportional assessment approach for optimal design of brake friction materials

et al. 2018

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In this article, hybrid analytical hierarchy process (AHP) and complex proportional assessment (COPRAS) approach was proposed to optimize automotive brake friction materials. Sixteen formulations based on phenolic resin, barium sulfate, Kevlar fiber, Lapinus fiber, multiwall carbon nanotube (MWCNT), nanoclay and graphite were formulated and evaluated for tribological properties. The tribo‐evaluation parameters such as coefficient of friction, friction‐fluctuations, friction‐variability, friction‐fade, wear, friction‐recovery, friction‐stability and disc temperature rise were considered as criterion for the performance optimization. The optimization of formulations was carry out in two steps: (1) finding the weight of each criterion by AHP method and (2) ranking the formulations with COPRAS method. The AHP‐COPRAS results show that the formulation of 50 wt% barium sulfate, 15 wt% phenolic resin, 2.5 wt% graphite, 5 wt% Kevlar fiber, 25 wt% Lapinus fiber with 2.5 wt% MWCNT exhibits the optimal tribological properties. POLYM. COMPOS., 40:1602–1608, 2019. © 2018 Society of Plastics Engineers

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Section: Introductionmentioning

confidence: 99%

Application of hybrid analytical hierarchy process and complex proportional assessment approach for optimal design of brake friction materials

et al. 2018

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“…The amount of fuel consumed by aircraft engines is proportional to the carbon dioxide (CO 2 ) emitted from the aircraft. 2–12 Therefore, the issue of rising CO 2 emissions from aviation fuel consumption is increasingly crucial in terms of the Paris Agreement on climate change, which was adopted in 2015. Before the end of this century, global CO 2 emissions should be reduced by 80–90%; however, current emissions from aviation fuel consumption are expected to grow annually by several percentage points for decades to come, with no indication of a slowdown.…”

Section: Introductionmentioning

confidence: 99%

“…Several researchers 32–41 have employed the GA approach for preliminary aircraft design optimization because of the ability of GAs to find a good near-optimal feasible solution at a reduced computational cost. Some researchers have discussed the limitations of a binary GA 9,42–43 for aircraft design optimization problems: high computational cost and limited string length. To overcome these problems, real-coded GAs (RCGAs) have been proposed, in which design variables are encoded as real numbers.…”

Section: Introductionmentioning

confidence: 99%

Fuel consumption minimization of transport aircraft using real-coded genetic algorithm

Singh¹

2017

Proceedings of the Institution of Mechanical Engineers, Part G:

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The issue of rising carbon dioxide emissions from aviation fuel consumption is increasingly crucial in terms of the Paris Agreement on climate change, which was adopted in 2015. The rapid growth of the global transport network has been affecting the environment adversely owing to the emission of greenhouse gases. Therefore, researchers are attempting to minimize aviation fuel consumption. This study presents a fuel consumption minimization problem in transport aircraft design. A real-coded genetic algorithm with direction-based crossover is employed to determine the optimum design for minimum fuel consumption. To mimic the aircraft fuel consumption issues, the proposed real-coded genetic algorithm employs the following three operators: ranking selection, direction-based crossover, and dynamic random mutation. Compared with earlier studies that used uniform crossover, the present study reduces the fuel consumption by applying real-coded genetic algorithm with a direction-based crossover operator. Comprehensive results show that the proposed real-coded genetic algorithm achieves remarkably faster convergence and improved search performance than the compared method. Direction-based crossover significantly enhances the fitness by guiding the crossover along a certain direction. In addition, it ensures a higher probability of locating the global optimum. Therefore, adopting such a technique can reduce the aircraft development cost.

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“…One disadvantage of the WSGA-based HM is that the artificially set values of the weight coefficients are unreasonable and subjective and depend significantly on human factors. In addition, the other disadvantage of the WSGA-based HM is the inefficient convergence of GA [13,14].…”

Section: Introductionmentioning

confidence: 99%

A Novel Double Cluster and Principal Component Analysis-Based Optimization Method for the Orbit Design of Earth Observation Satellites

Dong

Wei

Tian

et al. 2017

International Journal of Aerospace Engineering

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The weighted sum and genetic algorithm-based hybrid method (WSGA-based HM), which has been applied to multiobjective orbit optimizations, is negatively influenced by human factors through the artificial choice of the weight coefficients in weighted sum method and the slow convergence of GA. To address these two problems, a cluster and principal component analysis-based optimization method (CPC-based OM) is proposed, in which many candidate orbits are gradually randomly generated until the optimal orbit is obtained using a data mining method, that is, cluster analysis based on principal components. Then, the second cluster analysis of the orbital elements is introduced into CPC-based OM to improve the convergence, developing a novel double cluster and principal component analysis-based optimization method (DCPC-based OM). In DCPC-based OM, the cluster analysis based on principal components has the advantage of reducing the human influences, and the cluster analysis based on six orbital elements can reduce the search space to effectively accelerate convergence. The test results from a multiobjective numerical benchmark function and the orbit design results of an Earth observation satellite show that DCPC-based OM converges more efficiently than WSGA-based HM. And DCPC-based OM, to some degree, reduces the influence of human factors presented in WSGA-based HM.

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Transport Aircraft Conceptual Design Optimization Using Real Coded Genetic Algorithm

Cited by 19 publications

References 20 publications

Application of hybrid analytical hierarchy process and complex proportional assessment approach for optimal design of brake friction materials

Application of hybrid analytical hierarchy process and complex proportional assessment approach for optimal design of brake friction materials

Fuel consumption minimization of transport aircraft using real-coded genetic algorithm

A Novel Double Cluster and Principal Component Analysis-Based Optimization Method for the Orbit Design of Earth Observation Satellites

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