Search Results - (( based application acs algorithm ) OR ( _ application ((a algorithm) OR (based algorithm)) ))*
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Hybridization of enhanced ant colony system and Tabu search algorithm for packet routing in wireless sensor network
Published 2020“…This research proposes a hybridization of Enhanced ACS and Tabu Search (EACS(TS)) algorithm for packet routing in WSN. …”
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Improvement DACS3 Searching Performance using Local Search
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A New Machine Learning-based Hybrid Intrusion Detection System and Intelligent Routing Algorithm for MPLS Network
Published 2024“…The ML-based routing algorithm is compared to the conventional routing algorithm, Routing Information Protocol version 2 (RIPv2). …”
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Fast algorithm for VQ-based wavelet coding system
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A New Near Optimal Harmonics Elimination PWM Algorithm For AC Traction Drives
Published 2002“…The paper presents an algorithm to calculate near optimal switching angles, which will permit a fast and efficient realization using a microprocessor. …”
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Ant colony optimization in dynamic environments
Published 2010“…When coupled with a local search technique, a significant improvement can be seen for ACS using the 3-opt local search algorithm. …”
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Neural Networks based fault diagnosis of ac motors
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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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A Theoretical Framework for Big Data Analytics Based on Computational Intelligent Algorithms with the Potential to Reduce Energy Consumption
Published 2019“…In this chapter, we present a theoretical study of energy issues related to applications of computational intelligent algorithms in big data analytics. …”
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Design issues and challenges of an FPGA-based orthogonal matching pursuit implementation for compressive sensing reconstruction
Published 2020“…To date, the implementation of practical applications of CS in hardware platforms, especially in real-time applications, still faces challenging issues due to the high computational complexity of its algorithms, hence leading to high power-consuming processes. …”
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Multi-label learning based on positive label correlations using predictive apriori
Published 2019“…Along with that, two algorithms have been constructed by capturing the positive correlations where the first algorithm (MLR-PC) captures the positive global correlations and the second algorithm (MLCBA) proposes an adaption of AC algorithm to handle MLC based on the positive local correlations. …”
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Evolutionary mating algorithm
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