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nondominated sorting genetic algorithm ii (nsga-ii)  (MathWorks Inc)


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    MathWorks Inc nondominated sorting genetic algorithm ii (nsga-ii)
    Nondominated Sorting Genetic Algorithm Ii (Nsga Ii), supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/nondominated+sorting+genetic+algorithm+ii+(nsga-ii)/10__1021_slash_acssuschemeng__3c07622-124-5-1
    Average 90 stars, based on 1 article reviews
    nondominated sorting genetic algorithm ii (nsga-ii) - by Bioz Stars, 2026-10
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    Article Snippet: In this work, an innovative solar-powered integrated system coupling absorption refrigeration with liquid dehumidification is proposed.. This system can effectively achieve the cascade utilization of solar energy.. The exergy, exergoeconomic, and exergoenvironmental analyses are conducted to evaluate the techno-economics and environmental benefits of the proposed system.

    Article Title: Abstracts
    Article Snippet: 16/02802 Characterization of some Indian coals to assess their liability to spontaneous combustion Nimaje, D. S. and Tripathy, D. P. Fuel, 2016, 163, 139–147.. Mine fires are a major problem in global coal mining industry and most of them are caused by spontaneous combustion that needs proper attention in strategic planning.. The operational management must pay attention to an inbuilt system management for timely detection at the initial stage prior to devastating effect.

    Article Title: Cycle design and optimization of pressure swing adsorption cycles for pre-combustion CO2 capture
    Article Snippet: The multi-objective optimization problems were solved using a nondominated sorting genetic algorithm (NSGA-II) in MATLAB global optimization toolbox [45].

    Article Title: Recent advances in software tools for adsorption science and engineering
    Article Snippet: Adsorption processes are widely regarded in the literature as an energy-efficient alternative to more traditional separation methods, such as absorption and distillation.. The key to adsorption-based separation is in the adsorbent materials and adsorption process operation.. Despite its importance, a relatively small number of studies have been published in the literature to review the current state-of-the-art of adsorption process modeling, especially in the context of multi-scale modelling.

    Article Title: Multi‐objective assessment of a DAPTC based on 4E analysis: Water‐energy‐environment nexus
    Article Snippet: Correspondence Mohammad Mahdi Heyhat, Faculty of Mechanical Engineering, Tarbiat Modares University, Tehran 1411713116, Iran.. Email: mmheyhat@modares.ac.ir Summary This study aims to thermodynamic analysis and optimizes the performance of a nanofluid-based direct absorption parabolic trough collector (DAPTC) using a non-dominated sorting genetic algorithm (NSGA-II).. For this purpose, silicon carbide (SiC) and copper oxide (CuO) at three different volume fractions (0.01%, 0.05%, and 0.1%) are used as the nanoparticles and water as the base fluid.

    Article Title: Optimization of a Pressure Swing Adsorption Process for Nitrogen Rejection from Natural Gas
    Article Snippet: Nitrogen rejection from natural gas is a capital intensive process.. The most widely used technology, cryogenic distillation, is uneconomical for gas wells in remote areas or with small production rate.. In this work, a detailed simulation and optimization is carried out to explore the feasibility of pressure-vacuum swing adsorption (PVSA) technology for onsite nitrogen rejection at remote/low-throughput gas wells.

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    Article Snippet: The multi-objective optimization problems were solved using a nondominated sorting genetic algorithm (NSGA-II) in MATLAB global optimization toolbox (S7).

    Article Title: Optimization of multistage membrane gas separation processes. Example of application to CO2 capture from blast furnace gas
    Article Snippet: A Global Optimization approach of membrane gas separation processes, based on a general process superstructure including a wide array of possible configurations, and solved by a Nonlinear Programming formulation is presented.. The capacity of the proposed approach to provide optimal configurations at minimum separation cost is first validated by comparing the obtained solutions with those of a reference study in the domain.. The optimization approach is then applied to the optimization of CO2 capture from blast furnace gas considering multistage processes with up to four membrane stages.



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