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1
An adaptive ant colony optimization algorithm for rule-based classification
Published 2020“…Thus, the proposed AGI-AntMiner algorithm is capable in conducting an efficient search in finding the best classification rules that balance the classification accuracy and model complexity to overcome overfitting and local optima problems.…”
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2
Inversed Control Parameter in Whale Optimization Algorithm and Grey Wolf Optimizer for Wrapper-Based Feature Selection: A Comparative Study
Published 2023“…The proposed mWOA and mGWO were given a new inversed control parameter expected to enable more search areas for the search agents in the early phase of the algorithms, resulting in a faster convergence speed. …”
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3
Inversed Control Parameter in Whale Optimization Algorithm and Grey Wolf Optimizer for Wrapper-Based Feature Selection: A Comparative Study
Published 2023“…The proposed mWOA and mGWO were given a new inversed control parameter expected to enable more search areas for the search agents in the early phase of the algorithms, resulting in a faster convergence speed. …”
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4
A new ant based rule extraction algorithm for web classification
Published 2011“…Ant-Miner algorithm is also still lacking in efficiency, accuracy and rule simplicity because of the local minima problem.Therefore, the Ant-Miner algorithm needs to be improved by taking into consideration of the accuracy and rule simplicity criteria so that it could be used to classify Web documents data sets or any large data sets.The best attribute selection method for Web texts categorization is the combination of correlation-based evaluation with random search as the search method.However, this attribute selection method will not give the best performance in attributes reduction. …”
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5
An improved bat algorithm with artificial neural networks for classification problems
Published 2016“…Metaheuristic search algorithms have been used for quite a while to optimally solve complex searching problems with ease. …”
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6
An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…In order to address the challenges that mentioned above in this study, in the first phase, a novel architecture based on ensemble feature selection techniques include Modified Binary Bat Algorithm (NBBA), Binary Quantum Particle Swarm Optimization (QBPSO) Algorithm and Binary Quantum Gravita tional Search Algorithm (QBGSA) is hybridized with the Multi-layer Perceptron (MLP) classifier in order to select relevant feature subsets and improve classification accuracy. …”
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7
A conceptual model for the E-commerce application recommendation framework using exploratory search
Published 2024journal::journal article -
8
Binary ant colony optimization algorithm in learning random satisfiability logic for discrete hopfield neural network
Published 2024“…It was shown that our proposed model exhibits stronger search ability compared to other metaheuristic algorithms and Exhaustive Search. …”
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9
Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh
Published 2015“…Secondly, a new DE algorithm (ARDE-SPX) is introduced that automatically adapts a repository of DE strategies and parameters control schemes to avoid the problems of stagnation and make DE respond to a wide range of function characteristics at different stages of evolutionary search. …”
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10
Improved Genetic Algorithm Multilayer Perceptron Network For Data Classification
Published 2017“…The results demonstrate the effectiveness of the new algorithms in term of test accuracy percentage. …”
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11
Opposition Based Competitive Grey Wolf Optimizer For EMG Feature Selection
Published 2020“…As for EMG feature selection, the proposed algorithms are evaluated using the EMG data acquired from the publicly access EMG database. …”
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12
A new multiple ant colonies optimization algorithm utilizing average pheromone evaluation mechanism
Published 2008“…Computational tests show promises of the new algorithm.…”
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13
New Fast Block Matching Algorithm Using New Hybrid Search Pattern And Strategy To Improve Motion Estimation Process In Video Coding Technique
Published 2016“…There are 6 main designs that the algorithms proposed namely the Orthogonal-Diamond Search Algorithm with Small Diamond Search Pattern (ODS-SDSP), the Orthogonal-Diamond Search Algorithm with Large Diamond Search Pattern (ODS-LDSP), the Diamond-Orthogonal Search Algorithm with Small Diamond Pattern (DOS-SDSP), the Diamond-Orthogonal Search Algorithm with Large Diamond Pattern (DOS-LDSP), the Modified Diamond-Orthogonal Search Algorithm with Small Diamond Pattern (MDOS-SDSP), and the Modified Diamond-Orthogonal Search Algorithm with Large Diamond Pattern (MDOS-LDSP). …”
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14
Optimizing large scale combinatorial problems using multiple ant colonies algorithm based on pheromone evaluation technique
Published 2008“…The new algorithm is based on the ant colony system and utilizes average and maximum pheromone evaluation mechanisms. …”
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15
A New Hybrid Gravitational Search- Black Hole Algorithm
Published 2016“…This paper studies the solution of optimization problems using a new hybrid population-based algorithm. The Gravitational Search – Black Hole Algorithm (GSBHA) is proposed as a combination of the Black Hole Algorithm (BHA) and Gravitational Search Algorithm (GSA). …”
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16
Synchronous gravitational search algorithm vs asynchronous gravitational search algorithm: a statistical analysis
Published 2014“…Gravitational search algorithm (GSA) is a new member of swarm intelligence algorithms. …”
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17
Enhancing three variants of harmony search algorithm for continuous optimization problems
Published 2021“…Harmony search (HS) is a recognized meta-heuristic algorithm with an efficient exploration process. …”
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18
A new inexact line search method for convex optimization problems
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19
Recommendation System Model For Decision Making in the E-Commerce Application
Published 2024thesis::doctoral thesis -
20
A new algorithm to measure relevance among Web pages
Published 2006“…To evaluate the performance, the algorithm is compared with existing algorithms. …”
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