Suchergebnisse - Sensitivity hybrid multi-objective evolutionary algorithm

Shape optimization of free-form grid structures based on the sensitivity hybrid multi-objective evolutionary algorithm von Wang, Zhicheng, Cao, Zhenggang, Fan, Feng, Sun, Ying

“… The sensitivity hybrid multi-objective evolutionary algorithm (referred to as SH-MOEA) is developed and the shape optimization of the free-form grid structures is carried out based on the developed algorithm …”
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Multi-objective optimization of a hybrid renewable energy system supplying a residential building using NSGA-II and MOPSO algorithms von Cheraghi, Ramin, Hossein Jahangir, Mohammad

“… Multi-objective optimization of a hybrid system is investigated to supply an autonomous residential building …”
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A hybrid multi-objective evolutionary algorithm for solving an adaptive flexible job-shop rescheduling problem with real-time order acceptance and condition-based preventive maintenance von An, Youjun, Chen, Xiaohui, Gao, Kaizhou, Zhang, Lin, Li, Yinghe, Zhao, Ziye

“… ) a multi-objective optimization model is developed for the concerned problem; and (3) a hybrid …”
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Techno-economic and environmental assessment of a hybrid renewable energy system using multi-objective genetic algorithm: A case study for remote Island in Bangladesh von Das, Barun K., Hassan, Rakibul, Tushar, Mohammad Shahed H.K., Zaman, Forhad, Hasan, Mahmudul, Das, Pronob

“… •Cost and life cycle emissions are optimised by multi-objective genetic algorithm.•Multi-objective provides better environmental benefits than single objective one …”
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Multi-objective flexible flow-shop rescheduling with rigid–flexible hybrid constraints and preventive maintenance von Zhao, Ziye, Chen, Xiaohui, An, Youjun

“… ), in which random equipment failures, hybrid rigid–flexible constraints of buffer capacity and due window are considered. Specifically, (1 …”
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A novel evolutionary algorithm for structural model updating with a hybrid initialization and multi-stage update strategy von Jiang, Yufeng, Ma, Chunke, Wang, Shuqing, Li, Yunhui

“… To address the limitations, a novel multi-objective evolutionary algorithm called MOEA-HiMs is proposed for structural model updating, which incorporates a hybrid initialization and multi-stage update strategy …”
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Implementation of a novel enhanced hybrid multi-objective osprey optimization algorithm for off-grid hybrid system sizing von Bandopadhyay, Joy, Roy, Provas Kumar

“… A novel enhanced hybrid multi-objective osprey optimization algorithm (EHMOOOA) is proposed in this research work …”
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Multi-objective optimization of hybrid renewable energy system for recirculating aquaculture system in Kenyan highlands: Wastewater and organic waste utilization for sustainable energy von Chege, Jane, Ueda, Soichiro, Furukakoi, Masahiro, Uehara, Akie, Krishnan, Narayaran, Senjyu, Tomonobu

“… The optimization is performed using Grid Density Search and Elite Guidance Strength Pareto Evolutionary Algorithm 2 with adaptive parameters …”
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A hybrid multi-objective approach for real-time flexible production scheduling and rescheduling under dynamic environment in Industry 4.0 context von Zhang, Sicheng, Tang, Fangcheng, Li, Xiang, Liu, Jiaming, Zhang, Bowen

“… •Incorporation of CP into genetic algorithm.•Consideration of rescheduling upon disruptions …”
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Multi-Objective and Multi-Variable Optimization Models of Hybrid Renewable Energy Solutions for Water–Energy Nexus von Coelho, João S. T., van de Loo, Maaike, Díaz, Juan Antonio Rodríguez, Coronado-Hernández, Oscar E., Perez-Sanchez, Modesto, Ramos, Helena M.

“… ). The study involves the implementation of complex multi-objective and multi-variable algorithms with different renewable sources, such as PV solar energy, pumped hydropower storage (PHS …”
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Thermodynamic evaluation and multi-objective optimization of molten carbonate fuel cell-supercritical CO2 Brayton cycle hybrid system von Jokar, Mohammad Ali, Ahmadi, Mohammad H., Sharifpur, Mohsen, Meyer, Josua P., Pourfayaz, Fathollah, Ming, Tingzhen

“… •Multi-objective optimization approach is carried out for performance optimization.•Three decision-making methods are employed to select final answers …”
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Multi-objective performance optimization of irreversible molten carbonate fuel cell–Braysson heat engine and thermodynamic analysis with ecological objective approach von Ahmadi, Mohammad H., Jokar, Mohammad Ali, Ming, Tingzhen, Feidt, Michel, Pourfayaz, Fathollah, Astaraei, Fatemeh Razi

“… )-Braysson heat engine, conducting a multi-objective optimization study, to give a general description of this hybrid cycle …”
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Hybrid Multi-Objective Optimization Approach With Pareto Local Search for Collaborative Truck-Drone Routing Problems Considering Flexible Time Windows von Luo, Qizhang, Wu, Guohua, Ji, Bin, Wang, Ling, Suganthan, Ponnuthurai Nagaratnam

“… We propose a hybrid multi-objective genetic optimization approach incorporated with a Pareto local search algorithm to solve the problem …”
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M2M-Net: multi-objective neural architecture search using dynamic M2M population decomposition von Tan, Zhiwen, Guo, Daqi, Chen, Junan, Chen, Lei

“… Evolutionary multi-objective neural architecture search (MO-NAS) is an efficient solution for automating the design of deep neural network architectures, aiming to explore a diverse range of objectives …”
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A multi-objective humanitarian pickup and delivery vehicle routing problem with drones von Lu, Yichen, Yang, Chao, Yang, Jun

“… We develop a hybrid multi-objective evolutionary algorithm with specialized local search operators (HMOEAS …”
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Evolutionary Algorithms Based Model Predictive Control for Vehicle Lateral and Roll Motion Control von Prakash, Rahul, Dheer, Dharmendra Kumar

“… To solve the MPC objective function in the field of vehicle stability, evolutionary algorithms are implemented, including multi-objective genetic algorithm (MOGA …”
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A self-adaptive evolutionary algorithm for a fuzzy multi-objective hub location problem: An integration of responsiveness and social responsibility von Zhalechian, Mohammad, Tavakkoli-Moghaddam, Reza, Rahimi, Yaser

“… Furthermore, a hybrid two-phase solution method is proposed based on possibilistic programming, fuzzy multi-objective programming and an efficient algorithm, called self-adaptive differential evolution algorithm …”
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ERPSSA-GBFT: A hybrid algorithm for multi-objective high-dimensional optimization problems in mixed train pantograph-catenary design von Wang, Hanlei, Zheng, Dingyang, Yan, Wenyi

“… •Expanded regenerative particle swarm simulated annealing (ERPSSA) optimization algorithm is proposed for solving multi-objective high-dimensional optimization problems …”
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Multiobjective hybrid monarch butterfly optimization for imbalanced disease classification problem von Nalluri, MadhuSudana Rao, Kannan, Krithivasan, Gao, Xiao-Zhi, Roy, Diptendu Sinha

“… ) classifier’s sensitive parameter values for improved performance of SVM by means of an Evolutionary algorithm (EA …”
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A hybrid evolutionary algorithm for multi-objective anatomy-based dose optimization in high-dose-rate brachytherapy von Lahanas, M, Baltas, D, Zamboglou, N

“… efficient. In this case we employ a modified hybrid version of the multi-objective optimization algorithm NSGA-II …”
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