Search Results - adaptive from different optimization algorithm
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Heterogenous adaptive ant colony optimization with 3-opt local search for the travelling salesman problem
Published 2020“…However, it is well-known that parameters are problem-dependent as different problems or even different instances have different optimal parameter settings. …”
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Adaptive route optimization for mobile robot navigation using evolutionary algorithm
Published 2021“…For example, Ant Colony Optimization (ACO) is an optimization algorithm based on swarm intelligence which is widely used to solve path planning problem. …”
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Proceedings -
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An Optimal Design of Moving Objects Tracking Algorithm on FPGA
Published 2012“…The system implements a large amount of operations in order to apply a tracking algorithm called Adaptive Hybrid Difference. Two core units were built to implement the algorithm on FPGA, the adaptive threshold unit and the binary image builder unit. …”
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An optimal design of moving objects tracking algorithm on FPGA
Published 2010“…The system implements a large amount of operations in order to apply a tracking algorithm called Adaptive Hybrid Difference. Two core units were built to implement the algorithm on FPGA, the adaptive threshold unit and the binary image builder unit. …”
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Modified ACS centroid memory for data clustering
Published 2019“…Ant Colony Optimization (ACO) is a generic algorithm, which has been widely used in different application domains due to its simplicity and adaptiveness to different optimization problems. …”
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An optimal design of moving objects tracking algorithm on FPGA
Published 2012“…The system implements a large amount of operations in order to apply a tracking algorithm called Adaptive Hybrid Difference. Two core units were built to implement the algorithm on FPGA, the adaptive threshold unit and the binary image builder unit. …”
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Adaptive Network Fuzzy Inference System (ANFIS) Handoff Algorithm
Published 2009“…The fuzzy handoff algorithm proposed by earlier work is not optimized and required constant attention from the human experts. …”
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Recent Evolutionary Algorithm Variants for Combinatorial Optimization Problem
Published 2023“…The adaptability of evolutionary algorithm mechanisms provides diverse approaches to handle combinatorial optimization challenges. …”
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Adaptive DNA computing algorithm by using PCR and restriction enzyme
Published 2004“…By doing this, the molecules which serve as a solution candidate can he narrowcd down and the optimal solution can be detected easily. From the application point of view, a simulation has been carried out on the shortest puth problem and the validity of the proposed adaptive algorithm is stated from the results of the simulation. …”
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Algorithmic design issues in adaptive differential evolution schemes: Review and taxonomy
Published 2018“…A trend that has emerged recently is to make the algorithm parameters automatically adapt to different problems during optimization, thereby liberating the user from the tedious and time-consuming task of manual setting. …”
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Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems
Published 2011“…This thesis describes the development of an efficient algorithm for solving nonlinear stochastic optimal control problems in discrete-time based on the principle of model-reality differences. …”
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Adaptive and optimized radio resource allocation algorithms for OFDMA based networks
Published 2015“…Thus, in this thesis, an adaptive and optimized radio resource allocation algorithm (AORAA) with cross-layer mechanism is proposed. …”
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A comparative study for parameter selection in online auctions
Published 2009“…In this work, three different models of genetic algorithms are considered. …”
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BBO algorithm-based tuning of PID controller for speed control of synchronous machine
Published 2023Article -
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Dynamic parameterizations of particle swarm optimization and genetic algorithm for facility layout problem
Published 2017“…In addition, the two algorithms have achieved a remarkable improvement from the adaption of dynamic parameterizations. …”
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Hybrid Henry gas solubility optimization algorithm with dynamic cluster-to-algorithm mapping
Published 2021“…Exploiting the dynamic cluster-to-algorithm mapping via penalized and reward model with adaptive switching factor, HHGSO offers a novel approach for meta-heuristic hybridization consisting of Jaya Algorithm, Sooty Tern Optimization Algorithm, Butterfly Optimization Algorithm, and Owl Search Algorithm, respectively. …”
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Adaptive Line Enhancer with Selectable Algorithms based on Noise Eigenvalue Spread
Published 2016“…The adaptive selection from a set of multiple adaptive algorithms to operate according to the characteristics of noise signals. …”
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Low-level hybridization scripting language with dynamic parameterization in PSO-GA / Suraya Masrom
Published 2015“…In addition, the two algorithms have achieved a remarkable improvement from the adaptation of dynamic parameterization. …”
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