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Showing 181 - 200 results of 209 for search 'genetic ((algorithm optimize) OR (algorithm (optimizer OR optimized)))', query time: 0.10s Refine Results
  1. 181
    A new bi-objective model of the urban public transportation hub network design under uncertainty

    A new bi-objective model of the urban public transportation hub network design under uncertainty by Firoozeh Kaveh (14150877)

    Published 2019
    “…Since exact values of some parameters are not known in advance, a fuzzy multi-objective programming based approach is proposed to optimally solve small-sized problems. For medium and large-sized problems, a meta-heuristic algorithm, namely multi-objective particle swarm optimization is applied and its performance is compared with results from the non-dominated sorting genetic algorithm. …”
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  2. 182
    Dynamic single node failure recovery in distributed storage systems

    Dynamic single node failure recovery in distributed storage systems by Itani, M.

    Published 2017
    “…To minimize the system repair cost, we formulate our problem using incidence matrices and solve it heuristically using genetic algorithms for all possible cases of single node failures. …”
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  3. 183
    Test bus assignment, sizing, and partitioning for system-on-chip

    Test bus assignment, sizing, and partitioning for system-on-chip by Harmanani, Haidar M.

    Published 2007
    “…In this paper, an efficient genetic algorithm for designing test access architectures while investigating test bus sizing and concurrently assigning cores to test buses is proposed. …”
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  4. 184
    DSCE: Comparative Analysis of Heuristic Computational Techniques

    DSCE: Comparative Analysis of Heuristic Computational Techniques by Bany Muhammad, Nooh

    Published 2021
    “…Various HCTs are also compared, including genetic algorithms (GAs), particle swarm optimization (PSO), differential evolution (DE), cat swarm optimization (CSO), bee colony optimization (BCO), hybrid GA-PSO (HGP), and the cuckoo search algorithm (CSA). …”
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  5. 185
    Analysis of power system stability enhancement via excitation and FACTS-based stabilizers

    Analysis of power system stability enhancement via excitation and FACTS-based stabilizers by Abido, M. A.

    Published 2004
    “…Then, a real-coded genetic algorithm is employed to search for optimal controller parameters. …”
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  6. 186
    Design of a vibration absorber for harmonically forced damped systems

    Design of a vibration absorber for harmonically forced damped systems by Issa, Jimmy

    Published 2013
    “…Two different numerical approaches are used in solving the problem; the first is based on the genetic algorithm technique and the second on the downhill simplex method. …”
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  7. 187
    Investigating the Impact of Skylights and Atrium Configurations on Visual Comfort and Daylight Performance in Dubai Shopping Malls

    Investigating the Impact of Skylights and Atrium Configurations on Visual Comfort and Daylight Performance in Dubai Shopping Malls by SANAD, AYMAN ADEL AHMED

    Published 2025
    “…Annual simulations are used to assess seasonal variations, while sensitivity analysis identifies key parameters. A genetic algorithm and multi-objective optimisation (MOO) simulations are used to generate optimal configurations, summarised in the form of a Pareto front selection criteria guide the choice of the optimum solution, which is then applied and analysed in a case study. …”
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  8. 188
    Power system stability enhancement via coordinated design of a PSS and an SVC-based controller

    Power system stability enhancement via coordinated design of a PSS and an SVC-based controller by Abido, M.A.

    Published 2003
    “…The real-coded genetic algorithm (RCGA) is employed to search for optimal controller parameters. …”
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  9. 189
    Coordinated design of robust excitation and TCSC-based damping controllers

    Coordinated design of robust excitation and TCSC-based damping controllers by Abido, M.A.

    Published 2003
    “…The real-coded genetic algorithm (RCGA) is employed to search for optimal controller parameters. …”
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  10. 190
    Analysis and Assessment of STATCOM-Based Damping Stabilizers for Power System Stability Enhancement

    Analysis and Assessment of STATCOM-Based Damping Stabilizers for Power System Stability Enhancement by Abido, M. A.

    Published 2005
    “…Then, a real-coded genetic algorithm (RCGA) is employed to search for optimal stabilizer parameters. …”
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  11. 191
    Practical Multiple Node Failure Recovery in Distributed Storage Systems

    Practical Multiple Node Failure Recovery in Distributed Storage Systems by Itani, M.

    Published 2016
    “…We allocate newcomers to nodes with minimal computations and without changing the original optimized plan. The problem is solved using genetic algorithms that search within the feasible solution space. …”
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  12. 192
    Improving passenger satisfaction at Kuwait International Airport by using multi-objective optimisation

    Improving passenger satisfaction at Kuwait International Airport by using multi-objective optimisation by Alsaber, Ahmad

    Published 2024
    “…The proposed methods employ optimisation techniques such as mixed integer goal programming (MIGP) and genetic algorithm (GA) to offer a comparative multi-solution outcome towards optimising the passenger quality of services at airport departure check-in. …”
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  13. 193
    A Dual Vibration Absorber for Vibration Suppression of Harmonically Forced Systems

    A Dual Vibration Absorber for Vibration Suppression of Harmonically Forced Systems by El Khoury, Elie

    Published 2022
    “…Then, a numerical technique based on both the genetic algorithm and the search simplex method is used to calculate the optimal system parameters. …”
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  14. 194
    Iterative heuristics for multiobjective VLSI standard cellplacement

    Iterative heuristics for multiobjective VLSI standard cellplacement by Sait, Sadiq M.

    Published 2001
    “…We employ two iterative heuristics for the optimization of VLSI standard cell placement. These heuristics are based on genetic algorithms (GA) and tabu search (TS) respectively. …”
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  15. 195
    EVOLUTIONARY HEURISTICS FOR MULTIOBJECTIVE VLSI NETLIST BI-PARTITIONING

    EVOLUTIONARY HEURISTICS FOR MULTIOBJECTIVE VLSI NETLIST BI-PARTITIONING by Sait, Sadiq M.

    Published 2020
    “…These heuristics are based on Genetic Algorithms (GAs) and Tabu Search (TS) [sadiq et al., 1999] respectively. …”
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  16. 196
    Inferential sensing techniques in industrial applications

    Inferential sensing techniques in industrial applications by Shakil,, Muhammad

    Published 0007
    “…System delays are obtained by approximating the model by a linear model. Genetic algorithm, which is a heuristic optimization technique, is used to ¯nd the system delays of the linear model, which are used in dynamical neural network model. …”
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  17. 197
    Vibration suppression in a cantilever beam using a string-type vibration absorber

    Vibration suppression in a cantilever beam using a string-type vibration absorber by Issa, Jimmy S.

    Published 2017
    “…In the first, the spring stiffness, the position of the second attachment point of the string and a preliminary damping constant are calculated using a genetic algorithm approach where the objective function is the maximum displacement on the beam. …”
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  18. 198
    Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information

    Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information by M. Ghoniem, Rania

    Published 2019
    “…For classifying unimodal data of either speech or EEG, a hybrid fuzzy c-means-genetic algorithm-neural network model is proposed, where its fitness function finds the optimal fuzzy cluster number reducing the classification error. …”
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  19. 199
    Improving the Resilience of Smart Distribution Networks against Cyber Attacks

    Improving the Resilience of Smart Distribution Networks against Cyber Attacks by ElYamani, Mohamed ElHusseiny Mohamed

    Published 2022
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  20. 200
    Predicting Android Malware Using Evolution Networks

    Predicting Android Malware Using Evolution Networks by Chahine, Joy

    Published 2025
    “…We combine this model with genetic algorithms to optimize its parameters and return the best state transition probabilities, and we predict future malware accordingly. …”
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