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Harmony Search-Based Fuzzy Clustering Algorithms For Image Segmentation
Published 2011“…Various images from different application domains, including synthetic and real-world images, have been used in this thesis to show the applicability of the proposed algorithms. …”
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Haptic Texture Search Engine Framework
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A new ant based rule extraction algorithm for web classification
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On the exploration and exploitation in popular swarm-based metaheuristic algorithms
Published 2018“…Among such algorithms are swarm-based methods like particle swarm optimization and ant colony optimization which are increasingly attracting new researchers. …”
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Enhanced gravitational search algorithm for nano-process parameter optimization problem / Norlina Mohd Sabri
Published 2020“…Based on the capabilities of the metaheuristic algorithms, this research is proposing the enhanced Gravitational Search Algorithm (eGSA) to solve the nano-process parameter optimization problem. …”
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A comparative representation approach to modern heuristic search methods in a job shop
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Opposition- based simulated kalman filters and their application in system identification
Published 2017“…Among the various kinds of optimization algorithms, Simulated Kalman Filter (SKF) is a new population-based optimization algorithm inspired by the estimation capability of Kalman Filter. …”
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Optimal DG Placement and Sizing for Voltage Stability Improvement Using Backtracking Search Algorithm
Published 2014“…A new evolutionary algorithm known as backtracking search algorithm (BSA) is opted in solving the optimization problem. …”
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HABCSm: A Hamming Based t -way Strategy based on Hybrid Artificial Bee Colony for Variable Strength Test Sets Generation
Published 2021“…Search-based software engineering that involves the deployment of meta-heuristics in applicable software processes has been gaining wide attention. …”
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HABCSm: A Hamming Based t -way Strategy based on Hybrid Artificial Bee Colony for Variable Strength Test Sets Generation
Published 2021“…Search-based software engineering that involves the deployment of meta-heuristics in applicable software processes has been gaining wide attention. …”
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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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Improvement and performance analysis on statistical selection algorithms
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Grover's Algorithm Extensions - A Systematic Literature Review
Published 2026journal::journal article -
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BSKF: Binary Simulated Kalman Filter
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