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Performance evaluation of PID controller optimisation for wheel mobile robot using Bat based optimisation algorithm
Published 2022“…The performance of these algorithms will be compared with a well-known optimization algorithm, Particle Swarm Optimization (PSO). …”
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Book Chapter -
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University class timetable tool
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Final Year Project / Dissertation / Thesis -
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Optimum Power Production of Small Hydropower Plant (SHP) Using Firefly Algorithm (FA) in Himreen Lake Dam (HLD), Eastern Iraq
Published 2017“…Thus, the addition of Kaplan turbine into Small Hydropower Plant (SHP) is verified to explore its applicability. This study focuses on the improvement of optimization model by applying particle swarm optimization and firefly algorithm methods in order to get a stable power production utility at its maximum level. …”
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PID controller design for mobile robot using Bat Algorithm with Mutation (BAM)
Published 2019“…This algorithm is compared with a wellknown optimization algorithm, Particle Swarm Optimization (PSO). …”
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Conference or Workshop Item -
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Design-point performance adaptation of small gas turbine using particle swarm optimization
Published 2020“…These unknown parameters should be estimated and adapted to obtain design-point target performances. This paper employs meta-heuristic optimizations, namely genetic algorithm (GA), particle swarm optimization (PSO), gray wolf optimizer (GWO), and whale optimizer algorithm (WOA) to solve the design-point adaptation of a small gas turbine designed for marine applications. …”
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Design-point performance adaptation of small gas turbine using particle swarm optimization
Published 2020“…These unknown parameters should be estimated and adapted to obtain design-point target performances. This paper employs meta-heuristic optimizations, namely genetic algorithm (GA), particle swarm optimization (PSO), gray wolf optimizer (GWO), and whale optimizer algorithm (WOA) to solve the design-point adaptation of a small gas turbine designed for marine applications. …”
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Simulated Kalman Filter with modified measurement, substitution mutation and hamming distance calculation for solving traveling salesman problem
Published 2022“…There were also attempts to hybridize SKF with other famous algorithms such as Particle Swarm Optimization (PSO), Gravitational Search Algorithm (GSA), and Sine Cosine Algorithm (SCA) to improve its performance. …”
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Bats echolocation-inspired algorithms for global optimisation problems
Published 2016“…The works related to swarm intelligence algorithms include the development of the algorithm itself, its modification and improvisation as well as its application in solving global optimisation problems. …”
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Thesis -
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Optimal PID control of pH neutralization plant
Published 2017“…Some of the available and quite often tuning methods used for designing PID controllers are Cohen-Coon, Ziegler-Nichols (ZN), and Tyreus-Luyben. …”
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OPTIMIZATION OF PID CONTROLLER PARAMETERS USING ARTIFICIAL FISH SWARM ALGORITHM
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Final Year Project -
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Improved particle swarm optimization by fast annealing algorithm
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Proceeding Paper -
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The fusion of particle swarm optimization (PSO) and interior point method (IPM) as cooperative movement control algorithm in Swarm Robotics / Dada Emmanuel Gbenga
Published 2016“…Research in Particle Swarm Optimisation and its applications to real world problems has become a very interesting field in recent years. …”
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Thesis -
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Data Analysis using Particle Swarm Optimization Algorithm
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Final Year Project / Dissertation / Thesis -
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Application of Particle Swarm Optimization in Optimizing Stereo Matching Algorithm’s Parameters for Star Fruit Inspection System
Published 2014“…Based on this information, the particles will improve its position in the search space by moving towards its best record and the swarm best record. …”
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Conference or Workshop Item -
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A novel swarm-based optimisation algorithm inspired by artificial neural glial network for autonomous robots
Published 2019“…As an algorithm, PSO can be applied to solve various function optimisation problems, as the main strength of the algorithm is its fast convergence [14]. …”
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Two objectives big data task scheduling using swarm intelligence in cloud computing
Published 2016“…It has been widely used for its enormous benefits and its ability to cope with large scale data such as workflows and big data applications. …”
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