Search Results - "Journal of computational design and engineering"

Chaotic whale optimization algorithm by Kaur, Gaganpreet, Arora, Sankalap

“…Abstract The Whale Optimization Algorithm (WOA) is a recently developed meta-heuristic optimization algorithm which is based on the hunting mechanism of…”
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Chaotic grey wolf optimization algorithm for constrained optimization problems by Kohli, Mehak, Arora, Sankalap

“…Abstract The Grey Wolf Optimizer (GWO) algorithm is a novel meta-heuristic, inspired from the social hunting behavior of grey wolves. This paper introduces the…”
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Maintenance in aeronautics in an Industry 4.0 context: The role of Augmented Reality and Additive Manufacturing by Ceruti, Alessandro, Marzocca, Pier, Liverani, Alfredo, Bil, Cees

“…Abstract The paper broadly addresses how Industry 4.0 program drivers will impact maintenance in aviation. Specifically, Industry 4.0 practices most suitable…”
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Lion Optimization Algorithm (LOA): A nature-inspired metaheuristic algorithm by Yazdani, Maziar, Jolai, Fariborz

“…Abstract During the past decade, solving complex optimization problems with metaheuristic algorithms has received considerable attention among practitioners…”
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IWOA: An improved whale optimization algorithm for optimization problems by Mostafa Bozorgi, Seyed, Yazdani, Samaneh

“…Abstract The whale optimization algorithm (WOA) is a new bio-inspired meta-heuristic algorithm which is presented based on the social hunting behavior of…”
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Activation energy and binary chemical reaction effects in mixed convective nanofluid flow with convective boundary conditions by Dhlamini, Mlamuli, Kameswaran, Peri K., Sibanda, Precious, Motsa, Sandile, Mondal, Hiranmoy

“…Abstract In this paper, we present a theoretical study of the combined effects of activation energy and binary chemical reaction in an unsteady mixed…”
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Hybrid quantum-classical convolutional neural network model for COVID-19 prediction using chest X-ray images by Houssein, Essam H, Abohashima, Zainab, Elhoseny, Mohamed, Mohamed, Waleed M

“…Abstract Despite the great efforts to find an effective way for coronavirus disease 2019 (COVID-19) prediction, the virus nature and mutation represent a…”
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SwinE-Net: hybrid deep learning approach to novel polyp segmentation using convolutional neural network and Swin Transformer by Park, Kyeong-Beom, Lee, Jae Yeol

“…Abstract Prevention of colorectal cancer (CRC) by inspecting and removing colorectal polyps has become a global health priority because CRC is one of the most…”
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Adaptive symbiotic organisms search (SOS) algorithm for structural design optimization by Tejani, Ghanshyam G., Savsani, Vimal J., Patel, Vivek K.

“…Abstract The symbiotic organisms search (SOS) algorithm is an effective metaheuristic developed in 2014, which mimics the symbiotic relationship among the…”
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A novel particle swarm optimization-based grey model for the prediction of warehouse performance by Islam, Md Rakibul, Ali, Syed Mithun, Fathollahi-Fard, Amir Mohammad, Kabir, Golam

“…Abstract Warehouses constitute a key component of supply chain networks. An improvement to the operational efficiency and the productivity of warehouses is…”
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3D printed compact heat exchangers with mathematically defined core structures by Kim, Jiho, Yoo, Dong-Jin

“…Abstract This paper describes a new design method for generating a compact heat exchanger (CHX) computational model consisting of triply periodic minimal…”
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Multi-objective equilibrium optimizer: framework and development for solving multi-objective optimization problems by Premkumar, M, Jangir, Pradeep, Sowmya, R, Alhelou, Hassan Haes, Mirjalili, Seyedali, Kumar, B Santhosh

“…ABSTRACT This paper proposes a new Multi-Objective Equilibrium Optimizer (MOEO) to handle complex optimization problems, including real-world engineering…”
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Improved invasive weed optimization algorithm (IWO) based on chaos theory for optimal design of PID controller by Misaghi, Mojgan, Yaghoobi, Mahdi

“…Abstract Weed is a phenomenon which is looks for optimality and finds the best environment for life and quickly adapts itself to environmental conditions and…”
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A novel chaotic Runge Kutta optimization algorithm for solving constrained engineering problems by Yıldız, Betül Sultan, Mehta, Pranav, Panagant, Natee, Mirjalili, Seyedali, Yildiz, Ali Riza

“…Abstract This study proposes a novel hybrid metaheuristic optimization algorithm named chaotic Runge Kutta optimization (CRUN). In this study, 10 diverse…”
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Donkey and smuggler optimization algorithm: A collaborative working approach to path finding by Shamsaldin, Ahmed S., Rashid, Tarik A., Al-Rashid Agha, Rawan A., Al-Salihi, Nawzad K., Mohammadi, Mokhtar

“…Abstract Swarm Intelligence is a metaheuristic optimization approach that has become very predominant over the last few decades. These algorithms are inspired…”
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On condition based maintenance policy by Shin, Jong-Ho, Jun, Hong-Bae

“…Abstract In the case of a high-valuable asset, the Operation and Maintenance (O&M) phase requires heavy charges and more efforts than the installation…”
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Reinforced quantum-behaved particle swarm-optimized neural network for cross-sectional distortion prediction of novel variable-diameter-die-formed metal bent tubes by Wang, Caicheng, Wang, Zili, Zhang, Shuyou, Liu, Xiaojian, Tan, Jianrong

“…Abstract With light weight, high strength, and high performance, metal bent tubes have attracted increasing applications in aeronautics. However, the growing…”
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A biobjective home health care logistics considering the working time and route balancing: a self-adaptive social engineering optimizer by Goodarzian, Fariba, Abraham, Ajith, Fathollahi-Fard, Amir Mohammad

“…Abstract Home health care (HHC) logistics have become a hot research topic in recent years due to the importance of HHC services for the care of ageing…”
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Intelligent computational design of scalene-faceted flat-foldable tessellations by Chen, Yao, Lu, Chenhao, Yan, Jiayi, Feng, Jian, Sareh, Pooya

“…Abstract Origami tessellations can be folded from a given planar pattern into a three-dimensional object with specific geometric properties, inspiring…”
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Chaotic Harris hawks optimization algorithm by Gezici, Harun, Livatyalı, Haydar

“…Abstract Harris hawks optimization (HHO) is a population-based metaheuristic algorithm, inspired by the hunting strategy and cooperative behavior of Harris…”
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