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A new approach for forecasting OPEC petroleum consumption based on neural network train by using flower pollination algorithm
Published 2016“…The proposed approach is compared with established meta-heuristic algorithms. The results show that the new proposed method out performs existing algorithms by advancing OPEC petroleum consumption forecast accuracy and convergence speed. …”
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Utilizing of flower pollination algorithm for brushless DC motor speed controller
Published 2020“…If the PID controller is modified with a new algorithm, better results can be obtained from the BLDC motor. …”
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Proceeding Paper -
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An elitist-flower pollination-based strategy for constructing sequence and sequence-less t-way test suite
Published 2018“…In line with such a need, this paper presents a unified strategy based on the new meta-heuristic algorithm, called the elitist flower pollination algorithm (eFPA), for sequence and sequence-less coverage. …”
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Object-Oriented Programming semantics representation utilizing agents
Published 2011“…A formal algorithm that can be applied to any two related Java-based source codes examples is invented to generate the semantics of these source codes. …”
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Sequence and sequence-less t-way test suite generation strategy based on the elitist flower pollination algorithm
Published 2018“…Addressing these aforementioned issues and complementing the existing sequence based strategies such as t-SEQ, Sequence Covering Array Generator and Bee Algorithm, this thesis presents a unified strategy based on the new meta-heuristic algorithm, called the Elitist Flower Pollination Algorithm (eFPA). …”
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Thesis -
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Performance properties optimization of triaxial ceramic-palm oil fuel ash by employing Taguchi design and flower pollination algorithm
Published 2018“…Primarily, this research is about the optimization of triaxial ceramic employing the POFA process by the Taguchi design and Flower Pollination Algorithm (FPA). The recycled POFA was evaluated through the POFA layer formation method where selected POFA layers were employed as filler raw material. …”
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Thesis -
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Embedded flower pollination evolutionary programming based technique for voltage stability enhancement with distributed generation installation
Published 2023“…In this study, a new technique is developed which combines the element of flower pollination into the general evolutionary programming algorithm. …”
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Development Of Machine Learning User Interface For Pump Diagnostics
Published 2022“…Build up a user interface by using Visual Studio Code (VSC) to run the coding of Cascading Style Sheet (CSS), Hyper Text Markup Language (HTML) and JavaScript (JS) as a webpage and connect to Azure Machine Learning Model and this will allow the user from using the model from a webpage when they have active internet with any devices.…”
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Monograph -
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Sequence and sequence-less T-way test suite generation strategy based on flower pollination algorithm
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Biologically inspired mobile agent-based sensor network (BIMAS)
Published 2014“…Biologically inspired algorithms offer a new paradigm in providing solutions to problems found within the wireless sensor networks (WSNs). …”
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A Unified Strategy for Sequence and Sequence-less T-way Test Suite Generation
Published 2016“…This paper presents a unified strategy based on the new meta-heuristic algorithm, called the Elitist Flower Pollination Algorithm (eFPA), for sequence and sequence-less coverage. …”
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Assessing optimization based strategies for t-way test suite generation: The case for flower-based strategy
Published 2016“…In order to summarize the achievements so far and facilitate future development, the main focus of this paper is, first, to present a critical comparison of adoption optimization algorithms (OA) as a basis of the t-way test suite generation strategy and, second, to propose a new t-way strategy based on Flower Pollination Algorithm, called Flower Strategy (FS). …”
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Conference or Workshop Item -
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Hyper-heuristic strategy for input-output-based interaction testing
Published 2022“…Classical test case design strategies, however, do not sufficiently include support for exploration of faults due to interaction between parameter values. New strategies known as t-way strategies (where t expresses interaction strength) have been developed for finding interaction faults. …”
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Implementation of machine learning techniques with big data and IoT to create effective prediction models for health informatics
Published 2024“…In the reduction phase, the optimal features are selected with theaid of the developed Hybrid Flower Pollination Bumblebees Optimization Algorithm (HFPBOA). …”
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