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1
Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman
Published 2019“…In this HPSO algorithm, totally seven particles positions are initialized. …”
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2
The Determination of Pile Capacity Using Artificial Neural-net: An Optimization Approach
Published 2001“…Using the developed algorithm, the safety measures involved are such as reliability index and the probability of failure; instead of only factor of safety if conventional deterministic approach is used. …”
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3
Adaptive Initial Contour and Partly-Normalization Algorithm for Iris Segmentation of Blurry Iris Images
Published 2022“…In addition, initial contour was explored to clarify its position. …”
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4
Development of control algorithm for a new 12s-6p single phase field excited flux switching motor
Published 2020“…Bipolar DC signal algorithm is based on changing the polarity of armature DC voltage on the detection of zero rotor position. …”
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5
Novel initialization strategy: Optimizing conventional algorithms for global maximum power point tracking
Published 2024“…In this research, a novel initialization strategy for conventional MPPT algorithms is proposed to define the best position for the tracking process to start over the P–V curve. …”
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6
Enhanced Harris's Hawk algorithm for continuous multi-objective optimization problems
Published 2020“…Harris’s hawk multi-objective optimizer (HHMO) algorithm is a MOSIbased algorithm that was developed based on the reference point approach. …”
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7
Autonomous and deterministic supervised fuzzy clustering
Published 2010“…This algorithm implements k-means to initialize the fuzzy model. …”
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8
Modelling of multi-robot system for search and rescue
Published 2023“…In this project, this sensor-based algorithm is known as the Obstacle Avoidance Algorithm. …”
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9
A Navigation Strategy for Swarm Robotics Based on Bat Algorithm Optimization Technique
Published 2018“…Five robots which represent five particles in this study need to move from designated initial positions to one point of desired position. …”
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10
An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction
Published 2023“…The position of the cuckoo eggs represents the translation of the wavelet hidden nodes, which are optimized based on the egg-laying and breeding strategy of cuckoos. …”
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11
An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction
Published 2023“…The position of the cuckoo eggs represents the translation of the wavelet hidden nodes, which are optimized based on the egg-laying and breeding strategy of cuckoos. …”
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12
An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction
Published 2023“…The position of the cuckoo eggs represents the translation of the wavelet hidden nodes, which are optimized based on the egg-laying and breeding strategy of cuckoos. …”
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13
An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction
Published 2023“…The position of the cuckoo eggs represents the translation of the wavelet hidden nodes, which are optimized based on the egg-laying and breeding strategy of cuckoos. …”
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14
An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction
Published 2023“…The position of the cuckoo eggs represents the translation of the wavelet hidden nodes, which are optimized based on the egg-laying and breeding strategy of cuckoos. …”
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15
An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction
Published 2023“…The position of the cuckoo eggs represents the translation of the wavelet hidden nodes, which are optimized based on the egg-laying and breeding strategy of cuckoos. …”
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16
An enhanced opposition-based firefly algorithm for solving complex optimization problems
Published 2014“…This study introduces some methods to enhance the performance of original fi refl y algorithm. The proposed enhanced opposition fi refl y algorithm (EOFA) utilizes opposition-based learning in population initialization and generation jumping while the idea of inertia weight is incorporated in the updating of fi refl y’s position. …”
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17
Tracking of moving athlete from video sequences using fower pollination algorithm
Published 2022“…Initially, a search window with the attributes of centroid coordinates of the moving athlete, width and length of the search window is used to represent the current position of the athlete. …”
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Assessing the chaotic map population initializations for sine cosine algorithm using the case study of pairwise test suite generation
Published 2022“…Sine Cosine Algorithm (SCA) is a new population based meta-heuristic algorithm that exploits both the sine and cosine functions for its update operators. …”
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20
Traditional marble game using ant colony optimization / Muhammad Izzat Imran Che Isa
Published 2017“…Collision detection technique is one of a physic law that manipulate the movement and position of marble. The prototype is evaluated based on distance between initial position and selected marble position. …”
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