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1
An ant colony optimization algorithm to improve software quality prediction models
منشور في 2011"…We use an ant colony optimization algorithm in the adaptation process. …"
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2
Bee Colony Algorithm for Proctors Assignment.
منشور في 2015"…The search accomplished by three types of bees over a number of iterations aiming to find the source with the highest nectar value (fitness value of a candidate solution). We apply the Bee Colony algorithm to previously published data. Experimental results show good solutions that maximize the preferences of proctors while preserving the fairness of the workload given to proctors. …"
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3
Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network
منشور في 2024"…It is worth noting that the injection moulding process does not incorporate a type-2 fuzzy neural network (T2FNN). However, in this particular investigation, T2FNN was employed to replicate the mechanical stress model associated with dashboard injection moulding. …"
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Bee colony algorithm for assigning proctors to exams. (c2013)
منشور في 2013احصل على النص الكامل
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masterThesis -
5
A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems
منشور في 2021"…<p>Constrained optimization plays an important role in many decision-making problems and various real-world applications. In the last two decades, various evolutionary algorithms (EAs) were developed and still are developing under the umbrella of evolutionary computation. …"
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Intelligent Rapidly-Exploring Random Tree Star Algorithm
منشور في 2024احصل على النص الكامل
doctoralThesis -
8
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9
An Algorithm For Computing The Distance Between Two Circular Disks
منشور في 2020"…This paper presents an algorithm for computing the distance between two circular disks in three-dimensional space. …"
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10
A FUZZY EVOLUTIONARY ALGORITHM FOR TOPOLOGY DESIGN OF CAMPUS NETWORKS
منشور في 2020"…In this paper, we present a Simulated Evolution algorithm for the design of campus network topology. …"
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11
A Parallel Neural Networks Algorithm for the Clique Partitioning Problem
منشور في 2002"…The proposed algorithm has a time complexity of O(1) for a neural network with n vertices and c cliques. …"
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12
Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm
منشور في 2020"…The problem consists of deciding the number, types, and locations of the network active elements (hubs, switches, and routers), as well as the links and their capacities. …"
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13
Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm
منشور في 2020"…The problem consists of deciding the number, types, and locations of the network active elements (hubs, switches, and routers), as well as the links and their capacities. …"
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14
Stochastic Programming for Hub Energy Management Considering Uncertainty Using Two-Point Estimate Method and Optimization Algorithm
منشور في 2023"…The standard ARO algorithm is developed to mimic the foraging behavior of rabbits, and in this work, the algorithm’s effectiveness in avoiding premature convergence is improved by using the dystudynamic inertia weight technique. …"
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Using artificial bee colony to optimize software quality estimation models. (c2015)
منشور في 2016"…We validate our technique on data describing maintainability and reliability of classes in an Object-Oriented system. …"
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masterThesis -
16
Multi-Objective Co-optimization of Power and Gas under Uncertainties with P2H embedded
منشور في 2022احصل على النص الكامل
doctoralThesis -
17
Topics in graph algorithms
منشور في 2003"…Being fixed-parameter tractable, we develop an algorithm that solves it in time O(5k + n2) where k is the input parameter. …"
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احصل على النص الكامل
احصل على النص الكامل
masterThesis -
18
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Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification
منشور في 2025"…In this study, we introduce an innovative method for the multi-classification of breast cancer histopathological images utilizing Bidirectional Recurrent Neural Networks (BRNN). The BRNN structure consists of four unique elements: the backbone branch for transfer learning, the Gated Recurrent Unit (GRU), the residual collaborative branch, and the feature fusion module. …"
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