Výsledky vyhledávání - "multiobjective evolutionary algorithm"

A multiobjective evolutionary algorithm for optimizing the small-world property Autor Zhang, Ruochen, Zhu, Bin

“… separately and simultaneously. A novel method for optimizing small-world property is then proposed based on the multiobjective evolutionary algorithm with decomposition…”
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A new three-dimensional encoding multiobjective evolutionary algorithm with application to the portfolio optimization problem Autor Liagkouras, Konstantinos

“…The existing evolutionary algorithm techniques have limited capabilities in solving large-scale combinatorial problems due to their large search space, making…”
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Matching Cybersecurity Ontologies on Internet of Everything through Coevolutionary Multiobjective Evolutionary Algorithm Autor Xue, Xingsi, Tan, Wenbin

“…Since Internet of Everything (IoE) makes all the connections that come online more relevant and valuable, they are subject to numerous security and privacy concerns…”
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Prediction of Effective Lens Position Using Multiobjective Evolutionary Algorithm Autor Tamaoki, Akeno, Kojima, Takashi, Tanaka, Yoshiki, Hasegawa, Asato, Kaga, Tatsushi, Ichikawa, Kazuo, Tanaka, Kiyoshi

“…) after cataract surgery using a multiobjective evolutionary algorithm (MOEA). Ninety-six eyes of 96 consecutive patients (aged 73.9 ± 8.6 years…”
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An assessment of hybrid-energy storage systems in the renewable environments Autor Nkwanyana, Thamsanqa B., Siti, Mukwanga, Wang, Zenghui, Toudjeu, Ignace, Mbungu, Nsilulu Tresor, Mulumba, Willy

“…Hybrid energy storage systems (HESS) are regarded as combinatorial storage system growing power storage capacity system in the world. Many researchers have…”
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A hybrid evolutionary multiobjective optimization strategy for the dynamic power supply problem in magnesia grain manufacturing Autor Kong, Weijian, Chai, Tianyou, Yang, Shengxiang, Ding, Jinliang

“… As the two production targets (i.e., the yields and the grade of magnesia grain) are conflicting and the process is subject to changing conditions, the supply of electric…”
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Novel Multiobjective Evolutionary Algorithm Approaches with Applications in the Constrained Portfolio Optimization Autor Liagkouras, Konstantinos

“…Multiobjective optimization (MO) is the problem of simultaneously optimizing two or more conflicting objectives subject to certain constraints…”
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A Multiobjective Evolutionary Algorithm for Solving Vehicle Routing Problem with Stochastic Demand Autor Cheong, C.Y., Tan, K.C., Liu, D.K., Xu, J.X.

“… To solve such a multiobjective combinatorial optimization problem, this paper presents a multiobjective evolutionary algorithm that incorporates two VRPSD-specific heuristics for local exploitation…”
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A Single-Phase Brushless DC Motor With Improved High Efficiency for Water Cooling Pump Systems Autor Hong, Do-Kwan, Woo, Byung-Chul, Koo, Dae-Hyun, Seo, Un-Jae

“… In the sampling process, latin hypercubic sampling (LHS), the subject of many experiments, is usually used…”
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A hybrid constraint handling mechanism with differential evolution for constrained multiobjective optimization Autor Min-Nan Hsieh, Tsung-Che Chiang, Li-Chen Fu

“… The proposed algorithm is based on a well-known multiobjective evolutionary algorithm, NSGA-II, and introduces…”
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A hybrid multiobjective evolutionary algorithm for solving truck and trailer vehicle routing problems Autor Tan, K.C., Lee, T.H., Chew, Y.H., Lee, L.H.

“… windows and availability and multimodal combinatorial optimization problem, a hybrid multiobjective evolutionary algorithm (HMOEA…”
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Coevolutionary Multiobjective Evolutionary Algorithms: Survey of the State-of-the-Art Autor Miguel Antonio, Luis, Coello Coello, Carlos A.

“… On the other hand, coevolutionary algorithms (CAs) are extensions of traditional EAs which have become subject of numerous studies in the last few…”
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MultiObjective robust network design under uncertain traffic an approach based on evolutionary algorithm Autor Arteta, Adolfo, Pinto-Roa, Diego P.

“… Therefore a MultiObjective Evolutionary Algorithm (MOEA) is proposed to solve and find the robust network design, inspired by the concept of price of robustness…”
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Adaptive selection of auxiliary objectives in multiobjective evolutionary algorithms Autor Petrova, I.A., Buzdalova, A.S., Shalyto, A.A.

“…RL method adopts this approach for the usage with a multiobjective evolutionary algorithm…”
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ADAPTIVE SELECTION OF AUXILIARY OBJECTIVES IN MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS Autor Petrova, I A, Buzdalova, A S, Shalyto, A A

“… algorithm.The proposed modification of the EA+RL method adopts this approach for the usage with a multiobjective evolutionary algorithm…”
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Comparison of Multiobjective Evolutionary Algorithms for Operations Scheduling under Machine Availability Constraints Autor Broz, D., Tohmé, F., Méndez, M., Frutos, M.

“… One of those problems is that of scheduling operations subject to constraints on the availability of machines and buffer capacity…”
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Distributed Pareto Optimization for Large-Scale Noisy Subset Selection Autor Qian, Chao

“… Furthermore, in many subset selection applications, the objective function evaluation is subject to noise…”
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Hybrid non-dominated sorting genetic algorithm with adaptive operators selection Autor Khan Mashwani, Wali, Salhi, Abdellah, Yeniay, Ozgur, Hussian, H., Jan, M.A.

“…The main goal of this paper is to investigate the effect of the multiple search operators with adaptive selection strategy and to develop hybrid version of…”
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Surrogate-Assisted Reliability Optimisation of an Aircraft Wing with Static and Dynamic Aeroelastic Constraints Autor Wansaseub, K., Sleesongsom, S., Panagant, N., Pholdee, N., Bureerat, S.

“… The design problem is set to minimise aircraft wing mass subject to structural and aeroelastic constraints, while design variables are structural dimensions…”
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Migrant Resettlement by Evolutionary Multiobjective Optimization Autor Liu, Dan-Xuan, Gu, Yu-Ran, Qian, Chao, Mu, Xin, Tang, Ke

“… Previous works mainly formulated migrant resettlement as an approximately submodular optimization problem subject to multiple matroid constraints and employed the greedy algorithm, whose performance…”
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