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Showing 1 to 20 of 57 for “"NSGA-II"”.

  1. New frontiers in population-based multi-objective feature selection

    Zanjani Miyandoab, SevilUniversity of Ontario Institute of Technology2024

    … multi-objective scheme of the genetic algorithm, NSGA-II, which is achieved through the substitution of the worst individuals with new randomly generated individuals with a limited number of features in each generation. As the second method, a binary Compact NSGA-II (CNSGA-II) algorithm has been …

    uoit Repository record

  2. A Hybrid Multi-Objective Evolutionary Algorithm for Wind-Turbine Blade Optimization

    Sessarego, MatiasGraduate Studies2013

    … non-dominated sorting genetic algorithm II (hybrid NSGA-II) has been developed and applied to the simultaneous optimization of the annual energy production, flapwise root-bending moment and mass of the National Renewable Energy Laboratory's (NREL) 5MW wind-turbine blade. To estimate the …

    calgary Repository record

  3. Racionalización de la red de autobuses de tránsito rápido (BRT): análisis de diferentes objetivos : aplicación a la ciudad de México

    García de la Parra Motta, Antonio2015

    … con los obtenidos por una adaptación del NSGA II. MOAMP obtuvo curvas de eficiencia con mayor número de soluciones, que además dominan a las soluciones obtenidas con NSGA II.

    burgos Repository record

  4. Parallelization of hybrid multi-objective evolutionary algorithm on multi-core architectures

    Sun, Zhuoran2024

    … Non-dominated Sorting Genetic Algorithm II (NSGA-II) (PC) and Multi-objective Evolutionary Algorithm based on Decomposition (MOEA/D) (NPC) have been used as a case study in the BCE framework. However, the individual algorithms are computationally expensive. In this thesis, we study the …

    manitoba Repository record

  5. Modelling, simulation and multi-objective optimization of industrial hydrocrackers

    NAVEEN BHUTANI2007

    … non-dominated sorting genetic algorithm (NSGA-II) has been successfully employed for both fine tuning the FPM of hydrocracker and performing MOO of the hydrocracker. FPM, DBM and various hybrid models are compared for their prediction performances before choosing and using one of them for …

    nus Repository record

  6. Ottimizzazione delle reti di distribuzione idrica tramite algoritmi genetici multi-obiettivo

    Marchi, Angela <1980>Alma Mater Studiorum - Università di Bologna2009

    … conservation of the network. In this work, a NSGA-II (Non-dominating Sorting Genetic Algorithm) has been used. This is a heuristic multi-objective genetic algorithm based on the analogy of evolution in nature. Starting from an initial random set of solutions, called population, it evolves them …

    bologna Repository record

  7. Multi-objective Optimization in Traffic Signal Control

    Nguyen, PhuongDe Montfort University2019

    … of Non-dominated Sorting Genetic Algorithm II (NSGA-II) and a local search which has the ability to predict a potential search direction. NS-LS is able to produce good solutions at any running time, therefore having good anytime behaviour. Utilizing a local search can help to accelerate the …

    de-montfort Repository record

  8. Weighted Graph Compression using Genetic Algorithms

    Rutkowski, EmiliaBrock University2022

    … helpful to public health officials. Lastly, the NSGA-II algorithm was implemented. It was found that NSGA-II is more suitable as a pre-processing tool, in order to find a target compression that introduces a comfortable level of distortion, and then using the single-objective genetic algorithm to …

    brock Repository record

  9. Design problem optimization with multi-objective evolutionary algorithms

    Toma, Farzana HaqueDepartment of Computer Science2025

    … and the Non-Dominated Sorting Genetic Algorithm II (NSGA-II)—to optimize sunshades across five key objectives: thermal comfort, energy consumption, Useful Daylight Illuminance (UDI), cost, and outside-view obstruction. A single-room office model was used as a test bed, with parameterized …

    cape-town Repository record

  10. Multidisciplinary Analysis and Design Optimization of an Efficient Supersonic Air Vehicle

    Allison, Darcy L.2013

    … computational process utilizing successive NSGA-II optimization runs was used for the higher-fidelity MDO. This resulted in an optimal ESAV with a trapezoidal wing planform. The NSGA-II optimizer considered arrow wing planforms in early generations during the process, but these were later …

    vt Repository record

  11. Diseño de un sistema de recogida de residuos urbanos: enfoque multiobjetivo y uso de metaheurísticos

    Gómez Cámara, José Rubén2010

    … variante de un algoritmo genético, conocida como NSGA II

    burgos Repository record

  12. Simulation-based optimisation of public transport networks

    Nnene, Obiora AmamifechukwuDepartment of Civil Engineering2020

    … as the Non-dominated Sorting Genetic Algorithm (NSGA-II) is integrated with Activity-based Travel Demand Model (ABTDM) known as the Multi-Agent Transport Simulation (MATSim). The steps taken to achieve the research objectives are first to generate a set of feasible network alternatives. This is …

    cape-town Repository record

  13. Faster Evolutionary Multi-Objective Optimization via GALE, the Geometric Active Learner

    Krall, Joseph2018

    … employed by the most commonly used tools (e.g. NSGA-II, SPEA2, etc.), with the goal of a) avoiding local optima, and b) expand upon diversity in the set of generated approximations. Such "blind" mutation policies explore many sub-optimal solutions that are discarded when better solutions are …

    wvu Repository record

  14. Optimization of residential buildings and renewable energy integration in small island developing states: the Bahamas as a case study

    Bingham, Raymond D.University of Ontario Institute of Technology2017

    … the non-dominated sorting genetic algorithm II (NSGA-II) for optimization. Optimal solutions are compared to a building model developed from audited data. The results indicate that design alternatives presented here can be feasibly implemented that possibly achieve net zero energy and carbon …

    uoit Repository record

  15. Optimización multiobjetivo de la red de distribución de energía eléctrica

    Palacios Saldaña, Rodrigo2017

    … aplicación y adaptación del algoritmo evolutivo NSGA II, basado en el elitismo y la dominancia de Pareto. Para ello se han considerado tres objetivos; la minimización de perdidas, la maximización de la fiabilidad de suministro del sistema y una función de costes. Esta función de costes, en lugar …

    burgos Repository record

  16. Evaluation of optimal control-based deformable registration model

    Matjelo, Naleli JubertDepartment of Electrical Engineering2014

    … the non-dominated sorting genetic algorithm (NSGA-II) is applied to approximate the Pareto fronts for each model to facilitate proper evaluation. The Pareto fronts are also visualized using level diagrams analysis.

    cape-town Repository record

  17. Multiobjective Simulation Optimization Using Enhanced Evolutionary Algorithm Approaches

    Eskandari, Hamidreza

    … improved nondominated sorting genetic algorithm (NSGA-II), widely-considered benchmark in the MOEA research community, in terms of fast convergence to the true Pareto optimal frontier and diversity among the solutions along the front. The results also show that FPGA and SPGA require far fewer …

    ucf

  18. Sustainable Closed-Loop Supply Chaing Network Design

    Pourjavad, EhsanFaculty of Graduate Studies and Research, University of Regina2018

    … adopted Non-dominated Sorting Genetic Algorithm-II (NSGA-II) is a satisfactory technique to solve large scale sustainable CLSC network design problems.

    regina Repository record

  19. Multi-objective evolutionary algorithms for product design

    Aslan, Bilal HasanDepartment of Computer Science2024

    … and Nondominated Sorting Genetic Algorithm II (NSGA-II), including two novel meta-heuristics for enhanced molecular exploration. Our findings reveal that MO-CMA-ES, especially when combined with an extended search meta-heuristic, excels in exploring molecular spaces, establishing it as a …

    cape-town Repository record

  20. Optimizing COVID-19 control measures using multi-objective deep reinforcement learning

    Folarin, Arinze LawrenceDepartment of Mathematics and Applied Mathematics2023

    … and Non-dominated Sorting Genetic Algorithm (NSGA-II) on COVID-19 data from France, are evaluated using both binomial (Stochastic) and Ordinary Differen- tial Equation mathematical models. The study highlights the potential of multi-objective deep reinforcement learning as a method of …

    cape-town Repository record

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