Výsledky vyhľadávania - "Multi-Objective Evolutionary Algorithms"

Result diversification by multi-objective evolutionary algorithms with theoretical guarantees Autor Qian, Chao, Liu, Dan-Xuan, Zhou, Zhi-Hua

“… In this paper, we propose to reformulate the result diversification problem as a bi-objective maximization problem, and solve it by a multi-objective evolutionary algorithm (EA), i.e., the GSEMO…”
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Survey on Multi-Objective Evolutionary Algorithms Autor Huang, Wenlan, Zhang, Yu, Li, Lan

“…Multi-objective evolutionary algorithm (MOEA) is the main method to solve multi-objective optimization problem (MOP…”
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Optimal Load Scheduling of Plug-In Hybrid Electric Vehicles via Weight-Aggregation Multi-Objective Evolutionary Algorithms Autor Kang, Qi, Feng, ShuWei, Zhou, MengChu, Ammari, Ahmed Chiheb, Sedraoui, Khaled

“…: 1) potential serious peak-to-valley difference and 2) economic loss. When we apply existing multi-objective evolutionary algorithms (MOEAs), i.e…”
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A Co-Evolutionary Scheme for Multi-Objective Evolutionary Algorithms Based on \epsilon -Dominance Autor Menchaca-Mendez, Adriana, Montero, Elizabeth, Antonio, Luis Miguel, Zapotecas-Martinez, Saul, Coello Coello, Carlos A., Riff, Maria-Cristina

“…Convergence and diversity of solutions play an essential role in the design of multi-objective evolutionary algorithms (MOEAs…”
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Mathematical modeling and multi-objective evolutionary algorithms applied to dynamic flexible job shop scheduling problems Autor Shen, Xiao-Ning, Yao, Xin

“… In order to capture the dynamic and multi-objective nature of flexible job shop scheduling, and provide different trade-offs among objectives, this paper develops a multi-objective evolutionary algorithm (MOEA)-based proactive–reactive method…”
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Energy-based USV maritime monitoring using multi-objective evolutionary algorithms Autor Ouelmokhtar, Hand, Benmoussa, Yahia, Benazzouz, Djamel, Ait-Chikh, Mohamed Abdessamed, Lemarchand, Laurent

“… : minimization of the consumed energy and maximization of the coverage rate. To solve the problem, we use two popular multi-objective evolutionary algorithms…”
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Dynamic multi-objective evolutionary algorithms in noisy environments Autor Sahmoud, Shaaban, Topcuoglu, Haluk Rahmi

“…Real-world multi-objective optimization problems encounter different types of uncertainty that may affect the quality of solutions. One common type is the…”
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Multi-objective evolutionary algorithms with heuristic decoding for hybrid flow shop scheduling problem with worker constraint Autor Han, Wenwu, Deng, Qianwang, Gong, Guiliang, Zhang, Like, Luo, Qiang

“…) and construct its mixed integer linear programming model. Seven multi-objective evolutionary algorithms with heuristic decoding (HD) (MOEAHs…”
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Hybrid multi-objective evolutionary algorithms based on decomposition for wireless sensor network coverage optimization Autor Xu, Ying, Ding, Ou, Qu, Rong, Li, Keqin

“…•This paper models the coverage control optimization problem in WSN as a multi-objective optimization problem considering multiple objectives.•A hybrid…”
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Vector quantization-driven image compression through multi-objective evolutionary algorithms Autor Camacho-Gonzalez, Francisco David, Lima-López, Daniel, Zapotecas-Martínez, Saúl, Altamirano-Robles, Leopoldo

“…In recent years, information consumption among the population has increased, especially through the widespread use of digital images and videos. Consequently,…”
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A survey on multi-objective evolutionary algorithms for the solution of the environmental/economic dispatch problems Autor Qu, B.Y., Zhu, Y.S., Jiao, Y.C., Wu, M.Y., Suganthan, P.N., Liang, J.J.

“…Development of efficient multi-objective evolutionary algorithms (MOEAs) has provided effective tools to solve environmental/economic dispatch (EED) problems…”
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Multi-surrogate assisted multi-objective evolutionary algorithms for feature selection in regression and classification problems with time series data Autor Espinosa, Raquel, Jiménez, Fernando, Palma, José

“… Meta-heuristic methods, such as multi-objective evolutionary algorithms, are commonly used as search strategies in feature selection wrapper methods since they allow minimizing the cardinality…”
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Multi-objective evolutionary algorithms for a reliability location problem Autor Alcaraz, Javier, Landete, Mercedes, Monge, Juan F., Sainz-Pardo, José L.

“…•Two new multiobjective evolutionary algorithms have been designed to solve the RFLP.•The Pareto frontiers given by the metaheuristics have been compared with…”
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Revolutionizing population sparsity assessment: machine learning-powered solutions for multi-objective evolutionary algorithms Autor Ren, Xuepeng, Wang, Maocai, Dai, Guangming, Peng, Lei, Chen, Xiaoyu, Song, Zhiming

“…Decomposed multi-objective evolutionary algorithms have recently gained attention in research, with population sparsity often evaluated through Euclidean distance…”
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Stochastic population update can provably be helpful in multi-objective evolutionary algorithms Autor Bian, Chao, Zhou, Yawen, Li, Miqing, Qian, Chao

“…Evolutionary algorithms (EAs) have been widely and successfully applied to solve multi-objective optimization problems, due to their nature of population-based…”
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A survey on multi-objective evolutionary algorithms for many-objective problems Autor von Lücken, Christian, Barán, Benjamín, Brizuela, Carlos

“…Multi-objective evolutionary algorithms (MOEAs) are well-suited for solving several complex multi-objective problems with two or three objectives…”
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Rule-based credit risk assessment model using multi-objective evolutionary algorithms Autor Soui, Makram, Gasmi, Ines, Smiti, Salima, Ghédira, Khaled

“…•We present a comparative study of four multi-objective evolutionary algorithms.•The used algorithms provide a better trade-off between accuracy and interpretability…”
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Parallel Multi-Objective Evolutionary Algorithms: A Comprehensive Survey Autor Falcón-Cardona, Jesús Guillermo, Hernández Gómez, Raquel, Coello Coello, Carlos A., Castillo Tapia, Ma. Guadalupe

“…Multi-Objective Evolutionary Algorithms (MOEAs) are powerful search techniques that have been extensively used to solve difficult problems in a wide variety of disciplines…”
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Engineering applications of multi-objective evolutionary algorithms: A test suite of box-constrained real-world problems Autor Zapotecas-Martínez, Saúl, García-Nájera, Abel, Menchaca-Méndez, Adriana

“…Traditionally, the performance of novel multi-objective optimization algorithms is evaluated on artificial test problems, which are constructed under the…”
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Multi-objective evolutionary algorithms and hyper-heuristics for wind farm layout optimisation Autor Li, Wenwen, Özcan, Ender, John, Robert

“…Wind farm layout optimisation is a challenging real-world problem which requires the discovery of trade-off solutions considering a variety of conflicting…”
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