Search Results - intelligence _ ((crops algorithm) OR (((cloud algorithm) OR (bat algorithm))))
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Task scheduling in cloud computing using Harris-Hawk Optimization
Published 2024“…In this study, the proposed HHO algorithm is simulated and compared with other well-known swarm intelligence algorithms, including Bat Algorithm (BA), Grey Wolf Optimization (GWO), and Particle Swarm Optimization (PSO). …”
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Bats echolocation-inspired algorithms for global optimisation problems
Published 2016“…The aim of the research is to introduce novel form of swarm intelligence algorithms based on real echolocation behaviour of bats. …”
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Thesis -
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Predicting crop yield and field energy output for oil palm using genetic algorithm and neural network models
Published 2019“…However, the typical yields are only 50–60% of the potential, and artificial intelligence research on modelling of the crop yield and energy consumption is still at its infancy. …”
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A New Bats Echolocation-based Algorithm for Single Objective Optimisation
Published 2016“…Bats sonar algorithm (BSA) as a swarm intelligence approach utilises the concept of echolocation of bats to find prey. …”
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A study on the parameter selection of bat algorithm in in optimizing parameters in camera auto calibration problem
Published 2022“…Finding shows that Bat Algorithm produces output that as expected as theory of Computational Intelligence suggested.…”
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HEURISTIC OPTIMIZATION OF BAT ALGORITHM FOR HETEROGENEOUS SWARMS USING PERCEPTION
Published 2023“…The Bat Algorithm is a population-based meta-heuristic algorithm for solving continuous optimization problems. …”
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Non-invasive gliomas grading using swarm intelligence algorithm / Muhammad Harith Ramli
Published 2017“…Bat algorithm is chosen for the development of the prototype for segmentation and classification purpose. …”
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Application of adaptive bats sonar algorithm to minimise car side impact design
Published 2017“…This project was focusing on the modification of bats sonar algorithm (BSA) and renamed to adaptive bats sonar algorithm (ABSA) due to some limitations of previous algorithm. …”
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Undergraduates Project Papers -
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An improved bat algorithm with artificial neural networks for classification problems
Published 2016“…Recently, a new metaheuristic search Bat algorithm has become quite popular due its tendency towards convergence to optimal points in the search trajectory by using echo-location behavior of bats as its random walk. …”
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An improved genetic bat algorithm for unconstrained global optimization problems
Published 2020“…Nowadays, nature inspired swarm intelligent algorithms have become quite popular due to their propensity for finding optimal solutions with agility. …”
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Conference or Workshop Item -
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Two objectives big data task scheduling using swarm intelligence in cloud computing
Published 2016“…In this direction, this paper first gives review of some previous scheduling algorithms used in cloud. Then, it proposes a type of swarm intelligence called Particle Swarm Optimization (PSO) algorithm to diminish cost though meeting deadlines. …”
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Application of Bat Algorithm and Fuzzy Systems to Model Exergy Changes in a Gas Turbine
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Book Section -
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Application of adaptive bats sonar algorithm for solving a single objective of practical business optimisation problem PROBLEM
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Conference or Workshop Item -
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Improved Bat Algorithm for faster convergence in solving optimisation problem
Published 2021“…In this study, one of the metaheuristic algorithms known as the Bat Algorithm (BA) has been discussed. …”
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Intelligent transmission line fault diagnosis using the Apriori associated rule algorithm under cloud computing environment
Published 2024Subjects: “…Artificial Intelligent Algorithms…”
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Hybrid bat algorithm for minimum dominating set problem
Published 2017“…In this paper, the stochastic search represented by hybrid swarm intelligence algorithm to find the smallest set of nodes that dominate the graph. …”
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Solving the minimum dominating set problem of partitioned graphs using a hybrid bat algorithm
Published 2020“…This paper investigates the swarm intelligence behaviour represented by a population-based approach called the bat algorithm (BA) to find the smallest set of nodes that dominate the graph. …”
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