Search Results - "Many-objective evolutionary algorithms"

Performance of Decomposition-Based Many-Objective Algorithms Strongly Depends on Pareto Front Shapes by Ishibuchi, Hisao, Setoguchi, Yu, Masuda, Hiroyuki, Nojima, Yusuke

“…Recently, a number of high performance many-objective evolutionary algorithms with systematically generated weight vectors have been proposed in the…”
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A many-objective optimization recommendation algorithm based on knowledge mining by Cai, Xingjuan, Hu, Zhaoming, Chen, Jinjun

“…Recommendation system (RS) is a technology that provides accurate recommendation for users. In order to make the recommendation results more accurate and…”
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An improved matrix factorization based model for many-objective optimization recommendation by Cui, Zhihua, Zhao, Peng, Hu, Zhaoming, Cai, Xingjuan, Zhang, Wensheng, Chen, Jinjun

“…As the application scenarios of recommendation algorithms are becoming increasingly complex, the efficiency of traditional recommendation algorithm based on…”
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A multistage evolutionary algorithm for many-objective optimization by Shen, Jiangtao, Wang, Peng, Dong, Huachao, Li, Jinglu, Wang, Wenxin

“…Convergence and diversity are of high significance to many-objective optimization, which are considered by most state-of-the-art many-objective evolutionary…”
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A many-objective population extremal optimization algorithm with an adaptive hybrid mutation operation by Chen, Min-Rong, Zeng, Guo-Qiang, Lu, Kang-Di

“…Many-objective optimization problems abbreviated as MaOPs with more than three objectives have attracted increasing interests due to their widely existing in a…”
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Resource-aware multi-criteria vehicle participation for federated learning in Internet of vehicles by Wen, Jie, Zhang, Jingbo, Zhang, Zhixia, Cui, Zhihua, Cai, Xingjuan, Chen, Jinjun

“…Federated learning (FL), as a safe distributed training mode, provides strong support for the edge intelligence of the Internet of Vehicles (IoV) to realize…”
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A two‐stage many‐objective evolutionary algorithm with dynamic generalized Pareto dominance by Wang, Hui, Wei, Zichen, Yu, Gan, Wang, Shuai, Wu, Jiali, Liu, Jiawen

“…Many‐objective evolutionary algorithms (MaOEAs) are widely used to solve many‐objective optimization problems. As the number of objectives increases, it is…”
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A space sampling based large-scale many-objective evolutionary algorithm by Gao, Xiaoxin, He, Fazhi, Duan, Yansong, Ye, Chuanlong, Bai, Junwei, Zhang, Chen

“…Large-scale multiobjective optimization problems have attracted increasing attention in both engineering applications and scientific research. Academically,…”
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A many‐objective optimization algorithm with dual criteria and mixed distribution correction strategy by Zhang, Zhixia, Wen, Jie, Cai, Xingjuan, Cui, Zhihua

“…Summary In many‐objective optimization algorithms, it is very important to maintain significant convergence and diversity of the population. And with the…”
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An ACO-based Hyper-heuristic for Sequencing Many-objective Evolutionary Algorithms that Consider Different Ways to Incorporate the DM's Preferences by Rivera, Gilberto, Cruz-Reyes, Laura, Fernandez, Eduardo, Gomez-Santillan, Claudia, Rangel-Valdez, Nelson, Coello Coello, Carlos A.

“…Many-objective optimization is an area of interest common to researchers, professionals, and practitioners because of its real-world implications. Preference…”
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Many-Objective Evolutionary Algorithm: Objective Space Reduction and Diversity Improvement by Zhenan He, Yen, Gary G.

“…Evolutionary algorithms have been successfully applied for exploring both converged and diversified approximate Pareto-optimal fronts in multiobjective…”
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An overview on evolutionary algorithms for many‐objective optimization problems by von Lücken, Christian, Brizuela, Carlos, Barán, Benjamin

“…Multiobjective evolutionary algorithms (MOEAs) effectively solve several complex optimization problems with two or three objectives. However, when they are…”
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Evolutionary composition of QoS-aware web services: A many-objective perspective by Ramírez, Aurora, Parejo, José Antonio, Romero, José Raúl, Segura, Sergio, Ruiz-Cortés, Antonio

“…•QoS-aware web service composition requires multiple simultaneous QoS attributes.•Having conflicting QoS properties requires computationally efficient…”
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Many-objective evolutionary algorithm based on parallel distance for handling irregular Pareto fronts by Wei, Zichen, Wang, Hui, Wang, Shuai, Zhang, Zhixia, Cui, Zhihua, Wang, Feng, Peng, Hu, Zhao, Jia

“…In recent years, various many-objective evolutionary algorithms (MaOEAs) have been proved to be successful in solving many-objective optimization problems…”
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A hypervolume fraction-based adaptive evolutionary algorithm for many-objective optimization and the application to electromagnetic device design by Lin, Jie, Zhang, Sheng Xin, Xu, Yi Jiao, Zheng, Shao Yong

“…Performance of many-objective evolutionary algorithms (MaOEAs) heavily depends on the environmental selection strategy which determines the offspring for next…”
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A New Multi/Many-Objective Optimization Approach in Wireless Sensor Networks for E-Commerce Applications by Singh, Shailendra Pratap, Singh, Prabhishek, Koundal, Deepika, Diwakar, Manoj

“…The optimisation of Wireless Sensor Networks (WSNs) is critical in the ever-changing environment of E-commerce. This work describes a unique technique for…”
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Evaluating the choice of radial basis functions in multiobjective optimal control applications by Zatarain Salazar, Jazmin, Kwakkel, Jan H., Witvliet, Mark

“…Evolutionary Multi-Objective Direct Policy Search (EMODPS) is a prominent framework for designing control policies in multi-purpose environmental systems,…”
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A generalized many‐objective optimization approach for scenario discovery by Kwakkel, Jan H.

“…Scenario discovery is a model‐based approach for scenario development, aimed at finding one or more subspaces within the uncertainty space associated with a…”
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The charging station and swapping station site selection with many-objective evolutionary algorithm by He, Yongqiang, Zhang, Yanjun, Fan, Tian, Cai, Xingjuan, Xu, Yubin

“…The battery swap mode is a novel way of energy supplement for electric vehicles. Inevitably, there are some business transactions between battery swapping…”
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A Many-Objective Particle Swarm Optimizer With Leaders Selected From Historical Solutions by Using Scalar Projections by Xiang, Yi, Zhou, Yuren, Chen, Zefeng, Zhang, Jun

“…The particle swarm optimizer (PSO), originally proposed for single-objective optimization problems, has been widely extended to other areas. One of them is…”
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