Optimal design of structural engineering components using artificial neural network-assisted crayfish algorithm
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Sadiq M. Sait
Dr. Sadiq M. Sait received his Bachelor’s degree in Electronics Engineering from Bangalore University, India, in 1981, and his Master’s and Ph.D. degrees in Electrical Engineering from the King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, in 1983 and 1987, respectively. He is currently a Professor of Computer Engineering and Director of the Center for Communications and IT Research, KFUPM, Dhahran, Saudi Arabia.
Mr. Pranav Mehta is an Assistant Professor at the Department of Mechanical Engineering, Dharmsinh Desai University, Nadiad-387001, Gujarat, India. He is currently a Ph.D. research scholar with the Dharmsinh Desai University, Nadiad, Gujarat, India. His major research interests are metaheuristics techniques, multi-objective optimization, solar–thermal technologies, and renewable energy.
Dr. Ali Rıza Yıldız is a Professor in the Department of Mechanical Engineering, Bursa Uludağ University, Bursa, Turkey. His research interests are the finite element analysis of structural components, lightweight design, vehicle design, vehicle crashworthiness, shape and topology optimization of vehicle components, meta-heuristic optimization techniques, and additive manufacturing.
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Betül Sultan Yıldız
Dr. Betül Sultan Yıldız is an Associate professor in the Department of Mechanical Engineering at Bursa Uludağ University, Bursa, Turkey. Her research interests are mechanical design, structural optimization methods, and meta-heuristic optimization algorithms.
Abstract
Optimization techniques play a pivotal role in enhancing the performance of engineering components across various real-world applications. Traditional optimization methods are often augmented with exploitation-boosting techniques due to their inherent limitations. Recently, nature-inspired algorithms, known as metaheuristics (MHs), have emerged as efficient tools for solving complex optimization problems. However, these algorithms face challenges such as imbalance between exploration and exploitation phases, slow convergence, and local optima. Modifications incorporating oppositional techniques, hybridization, chaotic maps, and levy flights have been introduced to address these issues. This article explores the application of the recently developed crayfish optimization algorithm (COA), assisted by artificial neural networks (ANN), for engineering design optimization. The COA, inspired by crayfish foraging and migration behaviors, incorporates temperature-dependent strategies to balance exploration and exploitation phases. Additionally, ANN augmentation enhances the algorithm’s performance and accuracy. The COA method optimizes various engineering components, including cantilever beams, hydrostatic thrust bearings, three-bar trusses, diaphragm springs, and vehicle suspension systems. Results demonstrate the effectiveness of the COA in achieving superior optimization solutions compared to other algorithms, emphasizing its potential for diverse engineering applications.
About the authors
Dr. Sadiq M. Sait received his Bachelor’s degree in Electronics Engineering from Bangalore University, India, in 1981, and his Master’s and Ph.D. degrees in Electrical Engineering from the King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, in 1983 and 1987, respectively. He is currently a Professor of Computer Engineering and Director of the Center for Communications and IT Research, KFUPM, Dhahran, Saudi Arabia.
Mr. Pranav Mehta is an Assistant Professor at the Department of Mechanical Engineering, Dharmsinh Desai University, Nadiad-387001, Gujarat, India. He is currently a Ph.D. research scholar with the Dharmsinh Desai University, Nadiad, Gujarat, India. His major research interests are metaheuristics techniques, multi-objective optimization, solar–thermal technologies, and renewable energy.
Dr. Ali Rıza Yıldız is a Professor in the Department of Mechanical Engineering, Bursa Uludağ University, Bursa, Turkey. His research interests are the finite element analysis of structural components, lightweight design, vehicle design, vehicle crashworthiness, shape and topology optimization of vehicle components, meta-heuristic optimization techniques, and additive manufacturing.
Dr. Betül Sultan Yıldız is an Associate professor in the Department of Mechanical Engineering at Bursa Uludağ University, Bursa, Turkey. Her research interests are mechanical design, structural optimization methods, and meta-heuristic optimization algorithms.
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© 2024 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Modal analysis for the non-destructive testing of brazed components
- Numerical analysis of cathodic protection of a Q355ND frame in a shallow water subsea Christmas tree
- Friction stir lap welding of AZ31B magnesium alloy to AISI 304 stainless steel
- Microstructure and mechanical properties of double pulse TIG welded super austenitic stainless steel butt joints
- Numerical and experimental investigation of impact performances of cast and stretched polymethyl methacrylate panels
- Mechanical properties of Sr inoculated A356 alloy by Taguchi-based gray relational analysis
- Influence of high-reactivity energetic materials on microstructure and performance on iron-based cladding layer under low laser power
- Experimental investigations and material modeling of an elastomer jaw coupling
- Optimal design of structural engineering components using artificial neural network-assisted crayfish algorithm
- A novel chaotic artificial rabbits algorithm for optimization of constrained engineering problems
- Numerical and experimental investigation of the effect of heat input on weld bead geometry and stresses in laser welding
- Influence of betel nut fiber hybridization on properties of novel aloevera fiber-reinforced vinyl ester composites
- Electro discharge machining performance of cryogenic heat treated copper electrode
- Influence of IP-TIG welding parameters on weld bead geometry, tensile properties, and microstructure of Ti6Al4V alloy joints
- Experimental and numerical investigation of crash performances of additively manufactured novel multi-cell crash box made with CF15PET, PLA, and ABS
- Microstructural characteristics and mechanical properties of 3D printed Kevlar fibre reinforced Onyx composite
- Microstructural, mechanical and nondestructive characterization of X60 grade steel pipes welded by different processes
Artikel in diesem Heft
- Frontmatter
- Modal analysis for the non-destructive testing of brazed components
- Numerical analysis of cathodic protection of a Q355ND frame in a shallow water subsea Christmas tree
- Friction stir lap welding of AZ31B magnesium alloy to AISI 304 stainless steel
- Microstructure and mechanical properties of double pulse TIG welded super austenitic stainless steel butt joints
- Numerical and experimental investigation of impact performances of cast and stretched polymethyl methacrylate panels
- Mechanical properties of Sr inoculated A356 alloy by Taguchi-based gray relational analysis
- Influence of high-reactivity energetic materials on microstructure and performance on iron-based cladding layer under low laser power
- Experimental investigations and material modeling of an elastomer jaw coupling
- Optimal design of structural engineering components using artificial neural network-assisted crayfish algorithm
- A novel chaotic artificial rabbits algorithm for optimization of constrained engineering problems
- Numerical and experimental investigation of the effect of heat input on weld bead geometry and stresses in laser welding
- Influence of betel nut fiber hybridization on properties of novel aloevera fiber-reinforced vinyl ester composites
- Electro discharge machining performance of cryogenic heat treated copper electrode
- Influence of IP-TIG welding parameters on weld bead geometry, tensile properties, and microstructure of Ti6Al4V alloy joints
- Experimental and numerical investigation of crash performances of additively manufactured novel multi-cell crash box made with CF15PET, PLA, and ABS
- Microstructural characteristics and mechanical properties of 3D printed Kevlar fibre reinforced Onyx composite
- Microstructural, mechanical and nondestructive characterization of X60 grade steel pipes welded by different processes
