Search Results - (( parallel optimization bees algorithm ) OR ( step function path algorithm ))
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Performance Comparison of Parallel Bees Algorithm on Rosenbrock Function
Published 2012“…This thesis presents the parallel Bees Algorithm as a new approach for optimizing the last results for the Bees Algorithm. …”
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Energy-aware scheduling optimization in hybrid flow shops using artificial bee colony algorithm
Published 2024“…Through an extensive computational experiment involving a well-known benchmark suite, the ABC algorithm demonstrated remarkable performance, consistently outperforming several popular metaheuristic algorithms, including Genetic Algorithms, Particle Swarm Optimization, Memetic Algorithms, and Whale Optimization Algorithm in 75% of the problems. …”
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Simulation of shortest path using a-star algorithm / Nurul Hani Nortaja
Published 2004“…The steps to calculate a shortest path using A • algorithm is shown by using appropriate examples and related figures. …”
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A generalized laser simulator algorithm for optimal path planning in constraints environment
Published 2022“…The suggested algorithm outperforms the competition in terms of improving path cost, smoothness, and search time. …”
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Restoration planning strategy of transmission system based on optimal energizing time of sectionalizing islands / Dian Najihah Abu Talib
Published 2019“…There are two discrete optimization techniques used in this work, which are the Artificial Bee Colony algorithm and Evolutionary Programming. …”
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New optimization feature for the developed open cnc controller based on ISO 6983 and ISO 14649
Published 2021“…Milling and drilling with G-code and drilling with STEP-NC were evaluated on tool path optimization. …”
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Rtl Implementation Of Secure Hash Algorithm 3 (Sha-3) Towards Smaller Area
Published 2017“…This research implements the SHA-3 in ways such that all the step mapping algorithms are logically combined to only use the input lanes of the state array to eliminate the intermediate logics and reduces the area size. …”
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A collision resistant cryptographic hash function based on cellular automata rules
Published 2013“…Factors contributing to the failure are a mathematical weakness found in the Boolean functions used by these cryptographic hash functions, linear message expansion and poor difusion in the step operation. …”
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11
Synthesis visual speech using modified polynomial motion curve
Published 2009“…Composing animations using motion path that based on polynomial function is usually refused by animators. …”
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HTS : a hierarchical method for load balancing in autonomous networks.
Published 2008“…In this paper, the authors are proposed HTS; a BGP-based hierarchical network traffic reconfiguration method to redistribute traffic on overloaded link for IP-based network. Proposed algorithm fulfills at two steps. Firstly overload detection function through an explorer algorithm to construct overloaded link table due to disruption link. …”
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Artificial bee colony algorithm with proposed discrete nearest neighborhood algorithm for discrete optimization problems
Published 2021“…This study seeks to solve this problem using Artificial Bee Colony (ABC) Algorithm along with the proposed Discrete Nearest Neighborhood Algorithm (DNNA). …”
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Adaptive model predictive control based on wavelet network and online sequential extreme learning machine for nonlinear systems
Published 2015“…The AUR is established based on Lyapunov stability theorem to find the limits of the optimization step size that guarantee a stable path on the objective function trajectory. …”
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Modeling and control of a Pico-satellite attitude using Fuzzy Logic Controller
Published 2010“…The predictor is a one step-ahead predictor which estimates the required control at the next sampling time and applies to the system at current sampling time. …”
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Modelling of geometric correction and relative radiometric normalization for near equatorial earth observation satellite images
Published 2015“…The method aims to acquire the intensity values of the control points to use as pseudo invariant features (PIFs) between the reference and sensed image bands. The next step is to perform statistical linear regression on the control points of the reference and sensed image bands to generate regression transformation functions for use in normalizing the sensed image bands to reference image bands. …”
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