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nsga-ii parameters  (MathWorks Inc)


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    MathWorks Inc nsga-ii parameters
    Nsga Ii Parameters, 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/nsga-ii/10__1016_slash_j__seppur__2024__130622-124-3-14
    Average 90 stars, based on 1 article reviews
    nsga-ii parameters - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Design study of a low emittance complex bend achromat lattice
    Article Snippet: [30] A. Seshadri, NSGA-II: A multi-objective optimization algorithm, MATLAB Central File Exchange, 2020, https:// www.mathworks.com/matlabcentral/fileexchange/10429nsga-ii-a-multi-objective-optimization-algorithm.


    Article Title: Optimization modelling for a sustainable closed-loop supply chain network using IoT: multiobjective metaheuristic algorithms
    Article Snippet: This paper investigates the optimization of a Closed-Loop Supply Chain Management to minimize total system costs and CO2 emissions.. In addition, a mathematical model of mixed integer linear programming was designed to study the ClosedLoop Supply Chain Network.. An Internet of Things (IoT) based platform was also developed to increase the planned network’s speed, accuracy, and security.

    Article Title: Multi-objective optimization of heat transfer performance of H-type fin with vortex generator based on NSGA-II
    Article Snippet: To further enhance the performance of heat exchangers and bolster waste heat recovery, vortex generators (VGs) of various shapes are added to the H-type fins.. This study explores the impact of VGs’ attack angles and configurations on the thermal performance of H-type finned tubes under different Reynolds (Re) numbers.. Additionally, multiple dimensionless evaluation metrics are introduced to assess the flow and heat transfer characteristics with VGs, and correlations for predicting the Nusselt (Nu) number and pressure drop at varying attack angles are developed.

    Article Title: Multi-objective optimization of a hydrogen production process for polymer membrane coupled with electrochemical hydrogen pump from hydrogen-doped natural gas by NSGA-II
    Article Snippet: In this work, a novel process of polymer membrane coupled with electrochemical hydrogen pump (EHP) was proposed to achieve efficient hydrogen production from hydrogen-doped natural gas (HDNG), and was simulated by UniSim Design.. A hydrogen separation unit of two-stage polymer membrane was used for achieving hydrogen enrichment from low H2 concentration HDNG.. Due to the hydrogen upgrade, EHP was operated at a H2 concentration much higher than HDNG, resulting in low energy consumption.

    Article Title: Developing the hybrid BIM-BEM and jellyfish search optimization system for optimizing energy consumption and building installation costs
    Article Snippet: NSGA-II , MATLAB , Proposal to determine the optimal solution, measured in terms of life cycle costs and sustainability, for a new construction project aiming for LEED in a BIM environment , Alothaim et al. .

    Article Title: Optimizing of architectural geometry and tubular daylight guidance system based on genetic algorithm to enhance daylighting and energy performance in underground office buildings
    Article Snippet: Tubular daylight guidance system (TDGS), when properly selected and designed, can reduce excessive uncontrolled solar gain and daylight in underground spaces, thereby improving the building’s energy performance and visual comfort.. However, various questions related to their adaptation to different climates, design and optimization methods have not been answered.. The aim of this paper is to show that different TDGS designs are needed even in geographic regions with similar climatic conditions.



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    CCO-LSSVM-NSGA-II hybrid optimization framework

    Journal: iScience

    Article Title: A causal AI and explainable optimization framework for social robot design

    doi: 10.1016/j.isci.2026.115780

    Figure Lengend Snippet: CCO-LSSVM-NSGA-II hybrid optimization framework

    Article Snippet: All algorithms and code developed for this study, including the CCO-LSSVM-NSGA-II hybrid optimization framework and the SHAP explainability analysis, are also deposited in the same Mendeley Data repository and are accessible via the link provided above.

    Techniques: