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Job shop rescheduling using a hybrid artificial immune system and genetic algorithm model
Published 2012“…This paper discusses on developing a hybrid model to tackle the problem of changing environment in the job shop scheduling problem.The main idea is to develop building blocks of partial schedules using the model developed that can be used to provide backup solutions when disturbances occur during production.This model hybridizes genetic algorithm (GA) with artificial immune systems (AIS) techniques to generate these partial schedules.Each partial schedule, also known as antibody, is assigned a fitness value for the selection of final population of best partial schedules. …”
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2
A new method for intermediate power point tracking for PV generator under partially shaded conditions in hybrid system
Published 2018“…This technique is based on the combination of two algorithms, the particle swarm optimization algorithm for tracking the global maximum power point, while a newly developed algorithm is used for attaining any other supervisory control set point. …”
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Novel algorithms of identifying types of Partial Discharges using electrical and non-contact methods / Mohammad Shukri Hapeez
Published 2015“…Two novel algorithms are presented in this wok namely ‘Simple Partial Discharge Identifier (SPDI) and Fundamental Partial Discharge Identifier (FPDI) were developed to overcome the PD identification shortcoming……”
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4
Binary search algorithm-based maximum power point tracking for photovoltaic system under partial shaded conditions
Published 2018“…The BSA-based algorithm, together with well-established PSO and another commonly used hill climbing method, perturb and observe (P&O) were developed and simulated in MATLAB Simulink. …”
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5
Ball surface representations using partial differential equations
Published 2015“…Thus, this research develops an algorithm to generalise Ball surfaces from boundary curves using elliptic PDEs. …”
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Thesis -
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Job shop rescheduling using a hybridization of genetic algorithm and artificial immune systems
Published 2012“…The main idea is to use the model to develop building blocks of partial schedules that can be used to provide backup solutions when disturbances occur during production.Each partial schedule, also known as antibody, is assigned a fitness value for the selection of final population of best partial schedules.The results of the analysis are compared with a previous work. …”
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7
Binary search algorithm as maximum power tracking technique for photovoltaic system under partial shaded conditions
Published 2018“…This paper presents an approach to determine the maximum power point (MPP) in photovoltaic (PV) system under partial shaded conditions using Binary Search Algorithm (BSA). …”
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8
Novel algorithms of identifying types of partial discharges using electrical and non-contact methods / Mohammad Shukri Hapeez
Published 2015“…Two novel algorithms are presented in this wok namely ‘Simple Partial Discharge Identifier (SPDI) and Fundamental-Partial Discharge Identifier (FPDI) were developed to overcome the PD identification shortcoming. …”
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9
Moth flame optimization maximum power point tracking algorithm for photovoltaic system under partial shaded conditions
Published 2022“…The study aims to identify the performance of MFO based MPPT algorithm under partial shaded conditions. A simulation model of MFO based MPPT algorithm was developed and implemented with DC/DC boost converter in MATLAB Simulink. …”
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10
Self-configured link adaptation using channel quality indicator-modulation and coding scheme mapping with partial feedback for green long-term evolution cellular systems
Published 2015“…Since the developed downlink scheduler and the partial feedback scheme affect the QoS, self-configured versions of both algorithms are developed to provide QoS provisioning. …”
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11
Identification algorithms of flexible structure using neural networks
Published 2006“…A simulation algorithm of the plate is developed through a discretisation of the governing partial differential equation formulation of the plate dynamics using finite difference methods. …”
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12
Hybrid moth flame optimization mppt algorithm for accurate real-time tracking under partially shaded photovoltaic system
Published 2021“…In this study, a four-module 980 W solar PV system together with a DC/DC Boost Converter model was developed in MATLAB-Simulink as the MPPT algorithm test platform. …”
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13
Investigating the Performance of Deep Reinforcement Learning-Based MPPT Algorithm under Partial Shading Condition
Published 2024“…In this study, MATLAB models of a DRL-based MPPT algorithm were developed, tested, and compared to simulation based on two established MPPT algorithms-the Particle Swarm Optimization (PSO), and the Perturb and Observe (P&O). …”
Conference Paper -
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MULTIVARIABLE CLOSED-LOOP SYSTEM IDENTIFICATION USING ITERATIVE LEAKY LEAST MEAN SQUARES METHOD
Published 2017“…In this research. novel algorithms have been developed to: (I) isolate the less interacting channe Is using a modified partial correlation algorithm. (2) achieve unbiased and consistent parameter estimates using an iterative LLMS algorithm and (3) develop parsimonious models for closed-loop MIMO systems. …”
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15
Partial fraction expansion based frequency weighted balanced singular perturbation approximation model reduction technique with error bounds
Published 2016“…In this paper a new frequency weighted partial fraction expansion based model reduction technique is developed based on the partial fraction expansion approach. …”
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Proceeding Paper -
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PARTICLE SWARM OPTIMIZATION MAXIMUM POWER POINT TRACKING FOR PARTIALLY SHADED SOLAR PV
Published 2023“…The objectives of this thesis are to synthesis, simulate and evaluate the robustness of PSO algorithm for MPPT under PSC. The energy conversion system and PSO algorithm were simulated in MATLAB/Simulink. …”
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Final Year Project Report / IMRAD -
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Computer vision automation system for sorting partially overlapping tiles
Published 2019“…Another automatic method has been developed using assembly line machines, but it requires a significant amount of space to operate. …”
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Thesis -
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Characterization of PV panel and global optimization of its model parameters using genetic algorithm
Published 2023“…The effectiveness of the model developed by this approach to predict the performance of the PV system under partial shading conditions was also validated. � 2013 Elsevier Ltd. …”
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