Search Results - Optimization algorithm framework

Newly Emerging Nature-Inspired Optimization - Algorithm Review, Unified Framework, Evaluation, and Behavioural Parameter Optimization by Li, Hui, Liu, Xiao, Huang, Zhiguo, Zeng, Chenbo, Zou, Peng, Chu, Zhaoyi, Yi, Junkai

“… In this paper, we collect newly emerging nature-inspired optimization algorithms proposed after 2008, present them in a unified way, implement them, and evaluate them on benchmark functions…”
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A new service composition method in the cloud‐based Internet of things environment using a grey wolf optimization algorithm and MapReduce framework by Vakili, Asrin, Al‐Khafaji, Hamza Mohammed Ridha, Darbandi, Mehdi, Heidari, Arash, Jafari Navimipour, Nima, Unal, Mehmet

“…Summary Cloud computing is quickly becoming a common commercial model for software delivery and services, enabling companies to save maintenance,…”
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Workforce rostering for decentrally controlled production systems: A simulation-based optimization framework using a genetic algorithm by Schwemmer, Julia, Günsel, Christian, Kühn, Mathias, Schmidt, Thorsten

“… To solve this dilemma, we present a simulation-based genetic algorithm, which creates a roster with flexible deployment intervals without a rigid shift pattern based on the production system and job load…”
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P‐1.28: GOA‐AI:Designing the Size of Gate Driver on Array Circuits Using NSGA‐III(II) multi‐objective optimization algorithm framework Combined with Bayesian Optimization by Chen, Yanling, Hu, Zhenbang, Zhou, Xiaoliang, Sun, Zhixin, Tan, Zhiwei, Liu, Yangxing

“…This paper proposed a Bayesian‐optimization‐integrated NSGA‐III(II) multi‐objective optimization algorithm framework and applied it to the transistor size design of gate driver‐on‐array (GOA…”
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AHCO-YOLO: An Algorithm-Hardware Co-Optimization Framework for Energy-Efficient and Real-Time Object Detection on Edge Devices by Kim, Jaemyung, Kang, Jin-Ku, Kim, Yongwoo

“… We present AHCO-YOLO, an algorithm-hardware co-optimization framework (AHCO) that unifies model design, quantization, design space exploration (DSE…”
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Penalty-enhanced quantum approximate optimization algorithm framework for maximization and minimization problems by Zhong, Hao, Zhang, Qi

“…The Quantum Approximate Optimization Algorithm (QAOA for short) has demonstrated great potential in solving NP-hard combinatorial optimization problems…”
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A multi-population multi-stage adaptive weighted large-scale multi-objective optimization algorithm framework by Xiong, Lixue, Chen, Debao, Zou, Feng, Ge, Fangzhen, Liu, Fuqiang

“… Therefore, this paper develops an algorithm framework called multi-population multi-stage adaptive weighted optimization (MPSOF…”
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Spiral-refraction mutation prairie dog algorithm: Optimization framework for engineering design of interconnected multimachine power system by Rizk-Allah, Rizk M., Snášel, Václav, Izci, Davut, Ekinci, Serdar

“… Traditional algorithms may struggle with these challenges. Prairie dog optimization (PDO) was proposed for function optimization but faces limitations in balancing exploration and exploitation due to two reasons…”
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An integrated deep learning method and optimization algorithm framework for energy-saving steel billet heating by Ji, Wenchao, Li, Guojun, Zhao, Chunguang, Yi, Zhi, Wei, Linyang, Sun, Shuangcheng

“…Accurate prediction and optimization of steel billet temperature are crucial for ensuring billet quality and reducing the energy consumption of reheating furnaces in the steel industry…”
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Uncertainty Informed Calibration of Thermal-Hydraulic Models for Nuclear Reactor via Integrated Neural Network and Optimization Algorithm Framework by Xiong, Qingwen, Yuan, Xianbao, Zhang, Sen, Zhou, Jianjun, Mao, Zhangliang, Zhang, Yonghong

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Data-driven stochastic robust optimization: General computational framework and algorithm leveraging machine learning for optimization under uncertainty in the big data era by Ning, Chao, You, Fengqi

“…•Machine learning based uncertainty model is developed.•A data-driven optimization under uncertainty framework is proposed…”
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Optimal supply chain design and operations under multi-scale uncertainties: Nested stochastic robust optimization modeling framework and solution algorithm by Yue, Dajun, You, Fengqi

“… In this work, we propose a stochastic robust optimization model that handles multi‐scale uncertainties in a holistic framework, aiming to optimize the expected economic performance while ensuring the robustness of operations…”
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A newly developed multi-strategy optimization algorithm framework based on the adaptive switching approach coupled with grey wolf optimizer by Lu, Yeming, Zhang, Meina, Chen, Yanmu, Ju, Jinjun, Chen, Fang, Bai, Kunlun, Wang, Xiaofang

“… a Surrogate-Assisted Grey Wolf Optimization framework based on Query by Committee (SAGWO-QBC). The multi-strategy optimization algorithm framework includes a search…”
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Improved off‐grid wind/photovoltaic/hybrid energy storage system based on new framework of Moth‐Flame optimization algorithm by Abbassi, Abdelkader, Mehrez, Rached Ben, Abbassi, Rabeh, Saidi, Salem, Albdran, Saleh, Jemli, Mohamed

“…Summary This paper suggests a new sizing optimization method of an off‐grid renewable energy system…”
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Dynamic Chaotic Opposition-Based Learning-Driven Hybrid Aquila Optimizer and Artificial Rabbits Optimization Algorithm: Framework and Applications by Wang, Yangwei, Xiao, Yaning, Guo, Yanling, Li, Jian

“…Aquila Optimizer (AO) and Artificial Rabbits Optimization (ARO) are two recently developed meta-heuristic optimization algorithms…”
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Forward dynamics simulation of a simplified neuromuscular-skeletal-exoskeletal model based on the CMA-ES optimization algorithm: framework and case studies by Jin, Wei, Liu, Jiaqi, Zhang, Qiwei, Zhang, Xiaoxu, Wang, Qining, Xu, Jian, Fang, Hongbin

“… Specifically, we introduce an optimization-based dynamic simulation framework that integrates a neuromusculoskeletal feedback loop, multibody dynamics, human-exoskeleton interaction, and foot-ground contact…”
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Tailoring the mechanical properties of 3D microstructures: A deep learning and genetic algorithm inverse optimization framework by Shang, Xiao, Liu, Zhiying, Zhang, Jiahui, Lyu, Tianyi, Zou, Yu

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Adaptive robust optimization with minimax regret criterion: Multiobjective optimization framework and computational algorithm for planning and scheduling under uncertainty by Ning, Chao, You, Fengqi

“… This paper proposes a novel framework that effectively incorporates the minimax regret criterion into two-stage adaptive robust optimization (ARO…”
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Multiobjective optimization of product and process networks: General modeling framework, efficient global optimization algorithm, and case studies on bioconversion by Garcia, Daniel J., You, Fengqi

“…A comprehensive optimization model that can determine the most cost‐effective and environmentally sustainable production pathways in an integrated processing network is needed, especially in the bioconversion space…”
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Cycle‐consistent generative adversarial network optimized with water strider optimization algorithm fostered intrusion detection framework for securing cloud computing environment by Preethi, BC, Sugitha, G, Kavitha, G

“…‐consistent generative adversarial network (CCGAN) optimized with water strider optimization (WSO…”
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