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Quantum Optimization and Quantum Learning: A Survey

Yangyang Li, Mengzhuo Tian, Guangyuan Liu, Cheng Peng, Licheng Jiao
2020 IEEE Access  
quantum clustering (QC). 23568 This work is licensed under a Creative Commons Attribution 4.0 License.  ...  For more information, see  ...  In [177] , QPSO is coupled with the fuzzy C-Means clustering algorithm.  ... 
doi:10.1109/access.2020.2970105 fatcat:y765erlnyzakvdj3nv273ccgei

Parallel Frequent Subtrees Mining Method by an Effective Edge Division Strategy

Jing Wang, Xiongfei Li
2022 Applied Sciences  
Load balancing can improve the performance of parallel computing. An effective EDS is proposed to achieve load balancing.  ...  However, only a few algorithms could be transplanted to a parallel framework.  ...  For A 3 , Γ(a, c) (in Figure 2 ) is divided into G3. Then delete (a, c) from A 3 and cut (a, c). For A 2 , Γ(a, c) (Ti in Figure 2 ) are divided into G2. Then delete (d, e) from A 2 and cut (d, e).  ... 
doi:10.3390/app12094778 fatcat:mbprlwoycnetldmxceykgz5qam

A Systematic Review on Harmony Search Algorithm: Theory, Literature, and Applications

Mahima Dubey, Vijay Kumar, Manjit Kaur, Thanh-Phong Dao, Hassène Gritli
2021 Mathematical Problems in Engineering  
It has an ability to provide the balance between exploration and exploitation during search. In this paper, a systematic review on harmony search algorithm (HSA) is presented.  ...  Harmony search algorithm is the recently developed metaheuristic in the last decade. It mimics the behavior of a musician producing a perfect harmony.  ...  [131] used HSA to optimize the initial cluster centres of fuzzy c-means. ereafter, it was applied on MRI images for segmentation.  ... 
doi:10.1155/2021/5594267 fatcat:dtpsvroglrf55mhgf4dypzbtki

An Artificial Bee Colony Algorithm for Data Replication Optimization in Cloud Environments

Rashed Salem, Mustafa Abdul Salam, Hatem Abdelkader, Ahmed awad, Anas Arafa
2019 IEEE Access  
The Artificial Bee Colony (ABC) is a member of the family of swarm intelligence based algorithms. It simulates bee direction to the final route and has been proven to be effective for optimization.  ...  Cloud computing is a modern technology for dealing with large-scale data. The Cloud has been used to process the selection and placement of replications on a large scale.  ...  Xu et al. presented scalable load balancing for metadata server clusters in Cloud-scale file systems.  ... 
doi:10.1109/access.2019.2957436 fatcat:mmogd6f42vedhgcovxse223p24

Bat Algorithm (BA) [chapter]

2018 Swarm Intelligence  
Maximum entropy [30] [31] [32] [33] Data clustering Minimize fuzzy c-means fitness function [35] Cloud computing Maximize the resource utilization and provide a good balanced load among all the resources  ...  The design of a load balancing model using firefly algorithm is proposed in [36] .  ...  A new methodology was used for automatically extracting a convenient version of T-S fuzzy models from data using a novel clustering technique, called variable string length ABC algorithm based fuzzy c-means  ... 
doi:10.1201/9781315222455-6 fatcat:724x2apwyrc2ngjsx7satgyrbm

The 0/1 Multidimensional Knapsack Problem and Its Variants: A Survey of Practical Models and Heuristic Approaches

Soukaina Laabadi, Mohamed Naimi, Hassan El Amri, Boujemâa Achchab
2018 American Journal of Operations Research  
Equation (8) means that the total size of items may not exceed the dimension's capacity of each knapsack. Equation (9) ensures that each item appears at most once in all knapsacks.  ...  We can also mention [17] for a recent survey of structures and algorithms of 0/1 MKP. On the other hand, [18] are interested in multi-objective MKP.  ...  Furthermore, [93] proposed a clustered GA that uses a roulette wheel selection with fuzzy technique as a selection strategy and adopt a special crossover operator which uses hierarchical clustering method  ... 
doi:10.4236/ajor.2018.85023 fatcat:3gj2dpb7preahdrpbtveuijgli

Artificial intelligence enabled software-defined networking: a comprehensive overview

Majd Latah, Levent Toker
2019 IET Networks  
Our study showed that the research efforts focused on three main sub-fields of AI namely: machine learning, meta-heuristics and fuzzy inference systems.  ...  In this study, we provide a detailed overview of the recent efforts to include AI in SDN.  ...  Moreover, fuzzy-C-Means (FCM) [236] clustering, which is also known as soft K-means, allows each data point to belong to more than one clusters.  ... 
doi:10.1049/iet-net.2018.5082 fatcat:celiaiit7jhrfnufpoltuecf5y

Welcome message from the General Chairs

Giovanni Giambene, Boon Sain Yeo
2009 2009 International Workshop on Satellite and Space Communications  
Based on these rigorous reviews, IES 2014 accepted 106 papers for inclusion in the conference program, which represents an acceptance rate of 69%.  ...  This year we received a total of 153 high-quality papers from more than 20 countries. Many papers demonstrated notable systems with good analytical and/or empirical analyses.  ...  Keywords: Clustering, Differential evolution, Fuzzy C-means, Niching.  ... 
doi:10.1109/iwssc.2009.5286448 fatcat:wcu4uzasizhzjmdkzyekynnqwi

A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications

Yudong Zhang, Shuihua Wang, Genlin Ji
2015 Mathematical Problems in Engineering  
It is hoped that this survey would be beneficial for the researchers studying PSO algorithms.  ...  ), and parallel implementation (in multicore, multiprocessor, GPU, and cloud computing forms).  ...  The CPSFC algorithm utilized CPSO to search the fuzzy clustering model, exploiting the searching capability of fuzzy c-means (FCM) and avoiding its major limitation of getting stuck at locally optimal  ... 
doi:10.1155/2015/931256 fatcat:ubc5eywnhzdjllxjaywe4czhnm

A Comprehensive Review on NSGA-II for Multi-Objective Combinatorial Optimization Problems

Shanu Verma, Millie Pant, Vaclav Snasel
2021 IEEE Access  
Additionally, the paper also provides a brief bibliometric analysis based on the work done in this study.  ...  This paper provides an extensive review of the popular multi-objective optimization algorithm NSGA-II for selected combinatorial optimization problems viz. assignment problem, allocation problem, travelling  ...  The authors presented a hybrid heuristic combining K-means clustering, Clarke-Wright (CW) saving algorithm, and an extended non-dominated sorting genetic algorithm-II (E-NSGA-II) for solutions to the model  ... 
doi:10.1109/access.2021.3070634 fatcat:fci76lcuw5gdjb4wr6wfn7ruqi

A Review on Energy Consumption Optimization Techniques in IoT Based Smart Building Environments

Abdul Shah, Haidawati Nasir, Muhammad Fayaz, Adidah Lajis, Asadullah Shah
2019 Information  
In this paper, we have carried out a detailed literature review of the techniques used for the optimization of energy consumption and scheduling in smart homes.  ...  The goal of each technique is to maintain a balance between user comfort and energy requirements, such that the user can achieve the desired comfort level with the minimum amount of energy consumption.  ...  They have used round robin, throttled, and a particle swarm optimization algorithm for the load balancing.  ... 
doi:10.3390/info10030108 fatcat:7n53fwv3mzbqhfdi6oqvgetnny

A Study of Resource Utilization Improvement on Cloud Testing Platform

2021 KSII Transactions on Internet and Information Systems  
This paper proposed a new scheduling mechanism and a new process of the system operation which is based on the OpenStack platform.  ...  The challenge for the cloud test platform is how to optimize the resource and increase the performance in the limited resource.  ...  Modified canopy fuzzy c-means (MCFCM) clustering algorithm to solve the issues of overloading and lag in load balancing. 2.Particle swarm optimization algorithm is uses to facilitate the optimal selection  ... 
doi:10.3837/tiis.2021.07.008 fatcat:r7eebj5mjzg4ddahkyp2byonou

A Novel Intelligent Approach for Dynamic Data Replication in Cloud Environment

Ahmed Awad, Rashed Salem, Hatem Abdelkader, Mustafa Abdul Salam
2021 IEEE Access  
The suggested algorithms for dynamic data replication are multi-objective particle swarm optimization (MO-PSO) and ant colony optimization (MO-ACO).  ...  and Placement (RSP), Popular File Replication First (PFRF), and Dynamic Cost-aware Re-replication and Re-balancing Strategy (DCR2S).  ...  Tang et al. suggested a load balancing data placement method in a Spark environment for optimizing the load balancing among the nodes.  ... 
doi:10.1109/access.2021.3064917 fatcat:skbijgqnxjfodeuh3ef4dvodei

The Artificial Intelligence Approach for Diagnosis, Treatment and Modelling in Orthodontic [chapter]

Kazem Bahaa, Garma Noor, Yousif Yousif
2011 Principles in Contemporary Orthodontics  
Subtractive clustering to identify the rule base was performed, clustering of data forms the basis of many system modeling algorithms.  ...  For instance, in the knapsack problem one wants to maximize the total value of objects that can be put in a knapsack of some fixed capacity.  ...  Orthodontics is a fast developing science as well as the field of medicine in general.  ... 
doi:10.5772/19597 fatcat:m34amyuapbasviwznkag2u6u5y

Parallel bi-objective evolutionary algorithms for scalable feature subset selection via migration strategy under Spark [article]

Yelleti Vivek, Vadlamani Ravi, P. Radha Krishna
2022 arXiv   pre-print
We also reported the empirical attainment plots, speed up analysis, and mean AUC obtained by the most repeated feature subset and the least cardinal feature subset with the highest AUC, and diversity analysis  ...  Feature subset selection (FSS) for classification is inherently a bi-objective optimization problem, where the task is to obtain a feature subset which yields the maximum possible area under the receiver  ...  [9] developed a mMapReduce based NSGA-II and applied it to load-balanced based approach in the heterogeneous cloud environment.  ... 
arXiv:2205.09465v1 fatcat:qvdqfzyikjhxdgyfhy6tvsmfsi
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