Suchergebnisse - Hyper multi-objective evolutionary algorithm

Hyper multi-objective evolutionary algorithm for multi-objective optimization problems von Guo, Weian, Chen, Ming, Wang, Lei, Wu, Qidi

“… To pursue a competitive performance for various kinds of MOPs, in this paper, we propose a framework named hyper multi-objective evolutionary algorithm (HMOEA …”
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Multi-objective evolutionary algorithms and hyper-heuristics for wind farm layout optimisation von Li, Wenwen, Özcan, Ender, John, Robert

“… In this study, we tackle a multi-objective wind farm layout optimisation problem. Different from the previously proposed approaches, we are applying a high-level search method, known as selection hyper-heuristic to solve this problem …”
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A multi-objective evolutionary hyper-heuristic algorithm for team-orienteering problem with time windows regarding rescue applications von Aghdasi, Hadi S., Saeedvand, Saeed, Baltes, Jacky

“… ) for rescue applications by humanoid robots called TOPTWR. Due to the significant range of algorithm choices and their parameters tuning challenges, the use of hyper-heuristics is recommended …”
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Multi-Objective Optimal Dispatch of Hydro-Wind-Solar Systems Using Hyper-Dominance Evolutionary Algorithm von Xie, Mengfei, Liu, Bin, Peng, Ying, Wu, Dianning, Qian, Ruifeng, Yang, Fan

“… Building upon this foundation, Hyper-dominance Evolutionary Algorithm (HEA)—capable of efficiently solving high-dimensional problems …”
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Hyper-heuristic approach for multi-objective software module clustering von Kumari, A. Charan, Srinivas, K.

“… To analyze the efficacy of Multi-objective Hyper-heuristic Evolutionary Algorithm (MHypEA) in solving real-world clustering problems and to compare the results …”
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A Hyper-Heuristic Collaborative Multi-objective Evolutionary Algorithm von Fritsche, Gian, Pozo, Aurora

“… Many-objective optimization problems (MaOPs) are a great challenge for multi-objective evolutionary algorithms (MOEAs …”
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A multi-objective hyper-heuristic based on choice function von Maashi, Mashael, Özcan, Ender, Kendall, Graham

“… This high level approach controls and combines the strengths of three well-known multi-objective evolutionary algorithms (i.e …”
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Bi-objective evolutionary hyper-heuristics in automated machine learning for text classification tasks von Estrella-Ramírez, Jonathan, de la Calleja, Jorge, Carranza, Juan Carlos Gómez

“… At the third level, the multi-objective evolutionary algorithm …”
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A hyper-heuristic algorithm via proximal policy optimization for multi-objective truss problems von Yin, Shihong, Xiang, Zhengrong

“… This paper proposes a hyper-heuristic evolutionary algorithm via proximal policy optimization, named HHEA-PPO, for solving multi-objective truss optimization problems …”
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Hyper-Angle Exploitative Searching for Enabling Multi-Objective Optimization of Fog Computing von Naser Abdali, Taj-Aldeen, Hassan, Rosilah, Mohd Aman, Azana Hafizah, Nguyen, Quang Ngoc, Al-Khaleefa, Ahmed Salih

“… The developed algorithm is an evolutionary genetic type designated as Hyper Angle Exploitative Searching …”
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Multi-objective evolutionary algorithm application on the welded beam design problem von Alp, Gozde

“… These are; the multi-objective hyper heuristics evolutionary algorithm (MHypEA) and the fast and elitist non-dominated sorting genetic algorithm (NSGA-II …”
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Multi-objective optimization of a stacked neural network using an evolutionary hyper-heuristic von Furtuna, Renata, Curteanu, Silvia, Leon, Florin

“… (Non-dominated Sorting Genetic Algorithm – II) multi-objective optimization evolutionary algorithm which incorporates the Quasi-Newton (QN …”
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Comparative Analysis of Selection Hyper-Heuristics for Real-World Multi-Objective Optimization Problems von de Carvalho, Vinicius Renan, Özcan, Ender, Sichman, Jaime Simão

“… : we investigate how four state-of-the-art online hyper-heuristics with different characteristics perform in order to find solutions for eighteen real-world multi-objective optimization problems …”
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Application of population evolvability in a hyper-heuristic for dynamic multi-objective optimization von Macias-Escobar, Teodoro, Cruz-Reyes, Laura, Dorronsoro, Bernabé, Fraire-Huacuja, Héctor, Rangel-Valdez, Nelson, Gómez-Santillán, Claudia

“… DPEM_HH uses dynamic multiobjective evolutionary algorithms (DMOEAs) as LLHs to solve dynamic multi-objective optimization problems (DMOPs …”
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Study on location-allocation problem and algorithm for emergency supplies considering timeliness and fairness von Wang, Zheng, Leng, Longlong, Ding, Junjie, Zhao, Yanwei

“… •Multi-objective evolutionary framework considering hyperheuritic approach, mutation heuristics, and local search heuristics …”
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Hyper-Heuristics based on Reinforcement Learning, Balanced Heuristic Selection and Group Decision Acceptance von Santiago Júnior, Valdivino Alexandre de, Özcan, Ender, Carvalho, Vinicius Renan de

“… ), controlling a set of Multi-Objective Evolutionary Algorithms (MOEAs) as Low-Level (meta)Heuristics (LLHs). Along with the use of multiple MOEAs, we believe that having …”
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A multi-objective hyper heuristic framework for integrated optimization of carrier-based aircraft flight deck operations scheduling and resource configuration von Cui, Rongwei, Han, Wei, Su, Xichao, Zhang, Yong, Guo, Fang

“… It is of great significance to produce an efficient flight deck operations scheduling plan for improving the carrier-based aircraft sortie rate and enhancing …”
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A multi-objective model for optimizing the redundancy allocation, component supplier selection, and reliable activities for multi-state systems von Zaretalab, Arash, Sharifi, Mani, Guilani, Pedram Pourkarim, Taghipour, Sharareh, Niaki, Seyed Taghi Akhavan

“… •Adopting the Multi-Objective evolutionary algorithms to solve the model. This paper presents a multi-objective availability-redundancy allocation optimization model for a hyper-system …”
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A multi-objective and evolutionary hyper-heuristic applied to the Integration and Test Order Problem von Guizzo, Giovani, Vergilio, Silvia R., Pozo, Aurora T.R., Fritsche, Gian M.

“… •HITO adaptively selects search operators used by Multi-objective and Evolutionary Algorithms …”
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Evolutionary hyper-heuristics for tackling bi-objective 2D bin packing problems von Gomez, Juan Carlos, Terashima-Marín, Hugo

“… In this article, a multi-objective evolutionary framework to build selection hyper-heuristics for solving instances of the 2D bin packing problem is presented …”
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