Hybridised differential evolution and equilibrium optimiser with learning parameters for mechanical and aircraft wing design

Wansasueb, Kittinan; Panmanee, Sorasak; Panagant, Natee; Pholdee, Nantiwat; Bureerat, Sujin; Yıldız, Ali Rıza

doi:10.1016/j.knosys.2021.107955

Cited by 9 publications

(3 citation statements)

References 57 publications

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“…Finally, the proposed EMRFO algorithm is compared with the algorithms in the literature, and the obtained results are given in Table 7. In this table, MVPA (Most Valuable Player Algorithm) results are taken from [48], ABC (Artificial Bee Colony Algorithm), SSA (Salp Swarm Algorithm), and GWO (Grey Wolf Optimizer) results are taken from [49]. When Table 7 is analyzed, it is observed that EMRFO finds the best mean value alone in 5 problems, and in 7 problems, it finds the same best mean value with some other algorithms.…”

Section: Resultsmentioning

confidence: 99%

Performance Evaluations of the Manta Ray Foraging Optimization Algorithm in Real-World Constrained Optimization Problems

Yıldızdan

2024

Eskişehir Technical University Journal of Science and Technology a - Applied Sciences and Engineering

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Metaheuristic algorithms are often preferred for solving constrained engineering design optimization problems. The most important reason for choosing these algorithms is that they guarantee a satisfactory response within a reasonable time. The swarm intelligence-based manta ray foraging optimization algorithm (MRFO) is a metaheuristic algorithm proposed to solve engineering applications. In this study, the performance of MRFO is evaluated on 19 mechanical engineering optimization problems in the CEC2020 real-world constrained optimization problem suite. In order to increase the MRFO performance, three modifications are made to the algorithm; in this way, the enhanced manta ray foraging optimization (EMRFO) algorithm is proposed. The effects of the modifications made are analyzed and interpreted separately. Its performance has been compared with the algorithms in the literature, and it has been shown that EMRFO is a successful and preferable algorithm for this problem suite.

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Section: Resultsmentioning

confidence: 99%

Performance Evaluations of the Manta Ray Foraging Optimization Algorithm in Real-World Constrained Optimization Problems

Yıldızdan

2024

Eskişehir Technical University Journal of Science and Technology a - Applied Sciences and Engineering

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“…The tension/compression spring problem is a classic structural engineering design problem [ 57 ], whose purpose is to minimize the weight of tension/compression spring. To solve the problem, three core variables are needed: wire diameter ( d ), mean coil diameter ( D ), and number of active coils ( N ) [ 58 ]. The details of the spring and the three parameters are shown in Fig 21 .…”

Section: 2 Ieee Cec2017 Functionsmentioning

confidence: 99%

Multi‑strategy Equilibrium Optimizer: An improved meta-heuristic tested on numerical optimization and engineering problems

Liu

Liang²,

Liu³

et al. 2022

PLoS ONE

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The Equilibrium Optimizer (EO) is a recently proposed intelligent optimization algorithm based on mass balance equation. It has a novel principle to deal with global optimization. However, when solving complex numerical optimization problems and engineering problems, the algorithm will get stuck into local optima and degrade accuracy. To address the issue, an improved Equilibrium Optimizer (IEO) based on multi-strategy optimization is proposed. First, Tent mapping is used to generate the initial location of the particle population, which evenly distributes the particle population and lays the foundation for diversified global search process. Moreover, nonlinear time parameter is used to update the position equation, which dynamically balances the exploration and exploitation phases of improved algorithm. Finally, Lens Opposition‑based Learning (LOBL) is introduced, which avoids local optimization by improving the population diversity of the algorithm. Simulation experiments are carried out on 23 classical functions, IEEE CEC2017 problems and IEEE CEC2019 problems, and the stability of the algorithm is further analyzed by Friedman statistical test and box plots. Experimental results show that the algorithm has good solution accuracy and robustness. Additionally, six engineering design problems are solved, and the results show that improved algorithm has high optimization efficiency achieves cost minimization.

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“…The conceptual design phase of an aircraft design process is of major interest because it directly affects all subsequent stages of the whole process (Hoelzen et al, 2018;Smith et al, 2018), as it is the starting point of all design steps and directly feeds the "Pre Design" and "Detail Design" phases (Raymer, 1992;Schueltke and Stumpf, 2017;Liu et al, 2018;Kretov, 2021;Wansasueb et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Conceptual design modeling by the novel aircraft conceptual design and analysis system (ACDAS)

Ünal

Öz²,

Oktay

2023

AEAT

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Purpose Throughout an aircraft development process, the conceptual design phase is an extremely important milestone; hence, the quality and success of this step directly affect the overall cost and lead time of the project. Because of this fact, the purpose of this study is to provide outputs and suggestions to the designing engineer regarding the requirements for reducing overall design time as well as costs and creating an ideal design at the early phases of the project by optimizing the aircraft development process. Design methodology approach The system has been prepared parametrically and presents some performance specifications for the aircraft in the early phases of the design, for example, coefficients for lift CL as well as drag CD and weight as well as fuel estimations. The software uses a combination of well-known design techniques within just one platform in contrast to many other applications. Because of this feature, it is not needed to use different sub-platforms which would require an appropriate environment and even though would lead to complications with regard to the connectivity. The system also presents relevant information about the aircraft performance like velocity versus load factor (V-n) diagrams, maximum turn rate of climb, turn rate and climb angle graphs in contrast to many other open-source conceptual design platforms. Findings In this study, authentic General Dynamics F-16 Fighting Falcon and McDonnell Douglas F-15 Eagle data were used as input to the system, and advanced geometric and/or performance graphs were obtained and compared to the literature where a good agreement of the results was observed. These results with regard to the aircraft performance are typically product specific and quite rare in the literature. These data obtained by use of the software during the aircraft design are, thus, of major interest, especially for the design of new aerospace platforms. In this study, all of these graphs (especially the remarkable V-n diagram) are obtained on one platform. Originality value The aircraft conceptual design and analysis system software provides information and suggestions regarding the requirements for reducing the overall design time, reducing the design costs and creating an optimized design at the early phases of a project by optimizing the aircraft development process within just one convenient, that is, user friendly, platform, where it uses a combination of varying methodologies. Besides presenting one interface, which is quite typical for conceptual design tools, it allows applications of methods like vortex lattices and finite differences for obtaining aerodynamic performance parameters.

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Hybridised differential evolution and equilibrium optimiser with learning parameters for mechanical and aircraft wing design

Cited by 9 publications

References 57 publications

Performance Evaluations of the Manta Ray Foraging Optimization Algorithm in Real-World Constrained Optimization Problems

Performance Evaluations of the Manta Ray Foraging Optimization Algorithm in Real-World Constrained Optimization Problems

Multi‑strategy Equilibrium Optimizer: An improved meta-heuristic tested on numerical optimization and engineering problems

Conceptual design modeling by the novel aircraft conceptual design and analysis system (ACDAS)

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