Search Results - "Improved multi-objective genetic algorithm"

An improved multi-objective genetic algorithm with heuristic initialization for service placement and load distribution in edge computing by Maia, Adyson M., Ghamri-Doudane, Yacine, Vieira, Dario, Franklin de Castro, Miguel

“…Edge Computing (EC) is a promising concept to overcome some obstacles of traditional cloud data centers to support Internet of Things (IoT) applications,…”
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Integrated scheduling for remanufacturing system considering component commonality using improved multi-objective genetic algorithm by Guo, Jun, Zou, Junfeng, Du, Baigang, Wang, Kaipu

“…•Extend the existing remanufacturing scheduling problem with the concepts of component commonality.•Develop an IMOGA with several approaches and heuristic…”
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Minimizing total carbon footprint and total late work criterion in flexible job shop scheduling by using an improved multi-objective genetic algorithm by Piroozfard, Hamed, Wong, Kuan Yew, Wong, Wai Peng

“…•An improved multi-objective genetic algorithm is proposed to solve the presented bi-objective optimization problem…”
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An Improved Multi-Objective Genetic Algorithm for Large Planar Array Thinning by Cheng, You-Feng, Shao, Wei, Zhang, Sheng-Jun, Li, Ya-Peng

“…In this paper, a novel hybrid multi-objective optimization algorithm based on the nondominated sorting genetic algorithm II for large array thinning is…”
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A Q-learning-based improved multi-objective genetic algorithm for solving distributed heterogeneous assembly flexible job shop scheduling problems with transfers by Yang, Zhijie, Hu, Xinkai, Li, Yibing, Liang, Muxi, Wang, Kaipu, Wang, Lei, Tang, Hongtao, Guo, Shunsheng

“…With the advancement of economic globalization, the distributed heterogeneous factory environment has become the mainstream in manufacturing enterprises…”
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Optimization of disassembly line balancing using an improved multi-objective Genetic Algorithm by Wang, Y.J., Wang, N.D., Cheng, S.M., Zhang, X.C., Liu, H.Y., Shi, J.L., Ma, Q.Y., Zhou, M.J.

“…Disassembly activities take place in various recovery operations including remanufacturing, recycling, and disposal. Product disassembly is an effective way to…”
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Optimization of land use structure based on an improved multi-objective genetic algorithm: a case study in a large-scale opencast coal mine area, China by Wang, Jin, Wang, Jinman, Zhang, Min, Zhang, Jianing

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Improved Multi-objective Genetic Algorithm Used to Optimizing Power Consumption of an Integrated System for Flexible Manufacturing by PĂUN, Marius-Adrian, COANDĂ, Henri-George, MINCĂ, Eugenia, ILIESCU, Sergiu Stelian, DUCA, Octavian Gabriel, STAMATESCU, Grigore

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An improved multi-objective genetic algorithm for heterogeneous coverage RFID network planning by Tang, Lin, Zheng, Li, Cao, Hui, Huang, Ningjian

“… Then, we design an improved multi-objective genetic algorithm (IMOGA) integrating a divide-and-conquer greedy heuristic algorithm to solve the model…”
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Joint Inversion of 1-D Magnetotelluric and Surface-Wave Dispersion Data with an Improved Multi-Objective Genetic Algorithm and Application to the Data of the Longmenshan Fault Zone by Wu, Pingping, Tan, Handong, Peng, Miao, Ma, Huan, Wang, Mao

“… Joint inversion of these two datasets can help enhance the accuracy of inversion. In this paper, we describe a method for developing an improved multi-objective genetic algorithm (NSGA–SBX…”
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Study on Optimization of Urban Rail Train Operation Control Curve Based on Improved Multi-Objective Genetic Algorithm by Wang, Xiaokan, Wang, Qiong

“…A multi-objective improved genetic algorithm is constructed to solve the train operation simulation model of urban rail train and find the optimal operation…”
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Collaborative multidepot electric vehicle routing problem with time windows and shared charging stations by Wang, Yong, Zhou, Jingxin, Sun, Yaoyao, Fan, Jianxin, Wang, Zheng, Wang, Haizhong

“…Logistics distribution using electric vehicles (EVs) is gradually becoming popular in urban logistics networks with the promise of carbon peak and carbon…”
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Optimal bridge maintenance planning using improved multi-objective genetic algorithm by Furuta, Hitoshi, Kameda, Takahiro, Nakahara, Koichiro, Takahashi, Yuji, Frangopol, Dan M.

“… In this paper, an attempt is made to develop a bridge management system that can provide practical maintenance plans by using an improved multi-objective genetic algorithm…”
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Identification of Key Components in Power System Based on Improved Multi-Objective Genetic Algorithm by Zhang, Ying, Chen, Yunfeng, Zhang, Kefu, Shi, Jin, Jin, Guohua

“…In recent years, extreme weather events have become increasingly frequent worldwide, greatly threatening the normal operation of power grids. The impact of…”
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Search of Binary Sequences with Low Aperiodic Autocorrelation Based on Improved Multi-Objective Genetic Algorithm by Liu, Xiaocong, Zhang, Liupiao, Xie, Congge, Chen, Zhiyuan

“… metrics of sequence correlation for the study. This paper proposes an improved multi-objective genetic algorithm aimed at searching for binary sequence, which improves the standard algorithm's global search capability and convergence speed…”
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Research on Planting Strategies Based on Improved Multi-Objective Genetic Algorithm and Monte Carlo Simulation by Hu, Yanyang

“…NSGA-II is a multi-objective optimization algorithm based on genetic algorithm in the field of machine learning, which is mainly used to deal with complex…”
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Optimization of Logistics Distribution Path for Improved Multi-Objective Genetic Algorithm by Zhang, Jingyun

“… As a result, a Improved multi-objective genetic algorithms-based improve the optimization of rural low-carbon logistics distribution route is provided, and improve the optimization of rural low…”
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Integrated Optimal Scheduling Strategy for VSG Microgrids Based on Improved Multi-objective Genetic Algorithm by Sun, Jiahang, Zhang, Moucheng, Cao, Hao, Huang, Jingguang

“…The coordinated control and energy management of different resources in a high proportion of new energy microgrids is a key issue to be addressed. In this…”
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Symmetry-Informed Optimization and Verification of Loader Working Device Based on Improved Genetic Algorithm by Dong, Zhikui, Meng, Lingchao, Song, Ding, Wang, Zixian, Gao, Peng, Ma, Long, Sun, Yongkuan, Liu, Huibin, Zhang, Menglong

“…The translation of motion lift, as an important performance metric of a reversing six-link loader working device, is influenced by multiple factors, such as…”
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Development of an Innovative Optimal Route Selection Model Based on an Improved Multi-Objective Genetic Algorithm (IMOGA) Method in IoT Healthcare by K P, Jeejo, Mathews C, Bobby

“… In order to identify nearly optimal routes and create a cutting-edge optimal route selection model for IoT healthcare, this article employs the Improved Multi-Objective Genetic Algorithm (IMOGA) technique…”
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