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Genetic Algorithm Based Solution of Fuzzy Multi-Objective Transportation Problem [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2020 Optimizing problems in the modern era, the single objective optimization problems are insufficient to hold the full data of the problem. Therefore, multi-objective optimization problems come to the rescue.
Jaydeepkumar M. Sosa, Jayesh M. Dhodiya
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Biology, 2021 The efficient discovery of anticancer targets with minimal side effects is a major challenge in drug discovery and development. Early prediction of side effects is key for reducing development costs, increasing drug efficacy, and increasing drug safety ...
Chao-Ting Cheng +8 more
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FEBS Open Bio, 2023 Computational systems biology plays a key role in the discovery of suitable antiviral targets. We designed a cell‐specific, constraint‐based modeling technique for severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2)‐infected lungs.
Ke‐Lin Chen, Feng‐Sheng Wang
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Pentapartitioned Neutrosophic Fuzzy Optimization Method for Multi-objective Reliability Optimization Problem [PDF]
Neutrosophic Sets and Systems, 2023 Fuzzy logic is an important mathematical tool that deals with uncertainty and imprecision in decision-making processes. The prevalent frameworks, known as neutrosophic sets, study the connection of neutralities with various ideational spectra in addition
Swarup Jana, Sahidul Islam
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Multi-objective fuzzy programming model to design a sustainable supply chain network considering disruption [PDF]
International Journal of Industrial Engineering and Production Research, 2020 Sustainable supply chain networks have attracted considerable attention in recent years as a means of dealing with a broad range of environmental and social issues.
Roza Babagolzadeh +2 more
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IEEE Access, 2020 The risks and costs of developing a new aeroengine are fundamentally depending on the performance design final proposal. Thus, this paper presents a novel aeroengine performance design methodology that is committed to managing the effectiveness and ...
Dalu Cao, Guang-Chen Bai
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A novel mathematical approach for fuzzy multi-period multi-objective portfolio optimization problem under uncertain environment and practical constraints [PDF]
Journal of Fuzzy Extension and Applications, 2021 Investment Portfolio Optimization (IPO) is one of the most important problems in the financial area. Also, one of the most important features of financial markets is their embedded uncertainty.
Pejman Peykani +4 more
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IEEE Access, 2023 With the limited amount of national defense resources, the dynamic allocation of resources in overall project construction is conducive to improving the efficiency of project construction.
Yu-Ting Zhang, Jing-Yu Yang, Yang Wu
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Journal of Marine Science and Engineering, 2021 This work introduces a fuzzy optimization model, which solves in an integrated way the berth allocation problem (BAP) and the quay crane allocation problem (QCAP).
Edwar Lujan +5 more
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Energy–Water Management System Based on MPC for a Greenhouse in a Mapuche Indigenous Community
Applied Sciences, 2023 Rural communities usually settle in territories where crop self-consumption is the main source of sustenance. In this context, climate change has made these environments of crop control susceptible to water shortages, impacting crop yields.
Alvaro Endo +5 more
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