Search Results - intelligence a a algorithm
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Intelligent examination timetabling system using hybrid intelligent water drops algorithm
Published 2015“…This paper proposes Hybrid Intelligent Water Drops (HIWD) algorithm to solve Tamhidi programs uncapacitated examination timetabling problem in Universiti Sains Islamic Malaysia (USIM).Intelligent Water Drops algorithm (IWD) is a population-based algorithm where each drop represents a solution and the sharing between the drops during the search lead to better drops.The results of this study prove that the proposed algorithm can produce a high quality examination timetable in shorter time in comparison with the manual timetable.…”
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A Theoretical Framework for Big Data Analytics Based on Computational Intelligent Algorithms with the Potential to Reduce Energy Consumption
Published 2019“…In this chapter, we present a theoretical study of energy issues related to applications of computational intelligent algorithms in big data analytics. …”
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Solving university examination timetabling problem using intelligent water drops algorithm
Published 2024Conference Paper -
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Intelligent Examination Timetabling System Using Hybrid Intelligent Water Drops Algorithm
Published 2024“…Intelligent Water Drops algorithm (IWD) is a population-based algorithm where each drop represents a solution and the sharing between the drops during the search lead to better drops. …”
Proceedings Paper -
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Swarm intelligence optimization algorithms: a review
Published 2018“…This paper presents a review of some recently developed swarm intelligence algorithms that have been successfully applied to solve a number of optimization problems with special emphasis on their application areas, strengths and observable weaknesses. …”
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A Comparison Between Levenberg-Marquardt (LM) Intelligent System And Bayesian Regularization (BR) Intelligent System For Flow Regime Classification
Published 2006“…The comparison made showed that LM learning algortihm is a faster training algorithm compared to BR training algorithm meanwhile BR learning algorithm capable of building a superior intelligent system in term of the overall system performance.…”
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Monograph -
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Bats echolocation-inspired algorithms for global optimisation problems
Published 2016“…The algorithm is a hybrid algorithm that operates using dual level search strategy that takes merits of a particle swarm optimisation algorithm and a modified adaptive bats sonar algorithm. …”
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RFID Network Planning of Smart Factory Based on Swarm Intelligent Optimization Algorithm: A Review
Published 2024“…The improvement direction of swarm intelligence optimization algorithms and factors affecting RFID network performance are also explored. …”
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A decomposed streamflow non-gradientbased artificial intelligence forecasting algorithm with factoring in aleatoric and epistemic variables / Wei Yaxing
Published 2024“…Real-world optimizations, such as forecasting streamflow, are a complicated process that is highly non-linear and multi-modal, demanding the use of a suitable modeling tool, with an emphasis on artificial intelligence algorithms, to get befitting forecast results. …”
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A theoretical framework for big data analytics based on computational intelligent algorithms with the potential to reduce energy consumption
Published 2019“…In this chapter, we present a theoretical study of energy issues related to applications of computational intelligent algorithms in big data analytics. …”
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Book Chapter -
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Optimisation of Environmental Risk Assessment Architecture using Artificial Intelligence Techniques
Published 2024“…A comprehensive architecture, called Environmental Risk Assessment Architecture (ERAA), was developed to capitalise the strengths of intelligent computing techniques and compensate for the limitations of individual intelligence techniques. …”
thesis::doctoral thesis -
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Integration of dual intelligent algorithms in shunt active power filter
Published 2013“…This paper presents an integration of dual intelligent algorithms: artificial neural network (ANN) based fundamental component extraction algorithm and fuzzy logic based DC-link voltage self-charging algorithm (fuzzy self-charging algorithm), in a three-phase three-wire shunt active power filter (SAPF). …”
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A Comparative Study of the Application of Swarm Intelligence in Kruppa-Based Camera Auto-Calibration
Published 2013“…This paper presented a comparative study of the application of two Swarm Intelligence algorithms: Particle Swarm Optimization and Firefly Algorithm in automatic camera calibration problem. …”
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Multi-target tracking algorithm in intelligent transportation based on wireless sensor network
Published 2018“…A multi-target tracking algorithm using wireless sensors in an intelligent transportation system is proposed. …”
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Active intelligent control of vibration of flexible plate structures
Published 2011“…A traditional method of recursive least squares (US) is investigated as a comparison to the proposed intelligent techniques. …”
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Thesis -
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Implementation of swarm intelligence algorithms on mobile robots
Published 2017“…This thesis focusses on the implementation of swarm intelligence algorithms on multiple mobile robots. A scenario which could be used to display the swarm intelligence behavior is being designed in this thesis. …”
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Undergraduates Project Papers -
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Intelligent energy systems using the barnacles mating optimizer and evolutionary mating algorithm: Foundations, methods, and applications
Published 2026“…Intelligent Energy Systems using the Barnacles Mating Optimizer and Evolutionary Mating Algorithm: Foundations, Methods, and Applications reveals the potential of innovative optimization algorithms to support sustainability in modern energy systems. …”
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Book -
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Comparison of swarm intelligence algorithms for high dimensional optimization problems
Published 2018“…This paper presents a comprehensive study of two swarm intelligence based algorithms: 1- particle swarm optimization (PSO), 2-cuckoo search (CS).The two algorithms are analyzed and compared for problems consisting of high dimensions in respect of solution accuracy, and runtime performance by various classes of benchmark functions.…”
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Application of intelligence based genetic algorithm for job sequencing problem on parallel mixed-model assembly line
Published 2010“…A heuristic algorithm was introduced to generate the initial population for intelligence based genetic algorithm. …”
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