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Federated search techniques: an overview of the trends and state of the art
Conventional search engines, such as Bing, Baidu, and Google, offer a convenient way for users to seek information on the web. However, with all the...
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AI-based & heuristic workflow scheduling in cloud and fog computing: a systematic review
Fog and cloud computing are emerging paradigms that enable distributed and scalable data processing and analysis. However, these paradigms also pose...
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An efficient meta-heuristic algorithm based on water flow optimizer for data clustering
Clustering is a popular data analysis technique that can explore the structure of data through cluster analysis. Similar data are put into the same...
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Evaluating the performance of meta-heuristic algorithms on CEC 2021 benchmark problems
To develop new meta-heuristic algorithms and evaluate on the benchmark functions is the most challenging task. In this paper, performance of the...
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Privacy leakage of search-based multi-agent planning algorithms
Privacy preservation has become one of the crucial research topics in multi-agent planning. A number of techniques to preserve private information...
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Improved Set Algebra-Based Heuristic Technique for Training Multiplicative Functional Link Artificial Neural Networks for Financial Time Series Forecasting
The current study is defined by two main aims. An effective strategy for improving local search is to combine the Set Algebra-Based Heuristic...
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Vibrating Machine Rotors Speed Control Using Heuristic Algorithm
AbstractThe use of intelligent methods in the mechatronics and robotics areas is a hot topic due to the need for the industry to switch to digital...
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GT-scheduler: a hybrid graph-partitioning and tabu-search based task scheduler for distributed data stream processing systems
The continual increase in the amount of generated data by social media, IoT devices, and monitoring systems have motivated the use of Distributed...
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A new method of facial image compression based on meta-heuristic algorithms with variable bit budget allocation
One of the important research areas in imaging is the formation of images, which plays an important role in many different applications, including...
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A kernel search algorithm for virtual machine consolidation problem in cloud computing
Virtual machine consolidation refers to the process of reallocating virtual machines across a set of target servers. It can be formulated as a mixed...
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Global suppression heuristic: fast GraphCut in GPU for image stitching
GraphCut algorithm has shown its effectiveness when solving many computer vision tasks. However, its heavy computational nature makes it hard to...
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A novel meta-heuristic search algorithm for solving optimization problems: capuchin search algorithm
Meta-heuristic search algorithms were successfully used to solve a variety of problems in engineering, science, business, and finance. Meta-heuristic...
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A Heuristic Framework for Personalized Route Recommendation Based on Convolutional Neural Networks
Personalization of travel routes significantly impacts people’s quality of life and production efficiency. The personalized route recommendation...
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Automated Classification of Cancer using Heuristic Class Topper Optimization based Naïve Bayes Classifier
Cancer is a complicated illness that is caused by numerous gene mutations or deregulation of gene interactions. This study, on the other hand,...
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Spider wasp optimizer: a novel meta-heuristic optimization algorithm
This work presents a new nature-inspired meta-heuristic algorithm named spider wasp optimization (SWO) algorithm, which is based on replicating the...
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Energy optimized container placement for cloud data centers: a meta-heuristic approach
The cloud-computing paradigm based on containers has progressively grown in recent years as a flexible strategy that has proven to be energy...
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Improving MRI reconstruction with graph search matching pursuit
Nowadays, magnetic resonance imaging (MRI) is the go-to method for safe and effective diagnosis in hospitals. However, it can be slow and costly due...
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Qubit Map** Based on Tabu Search
The goal of qubit map** is to map a logical circuit to a physical device by introducing additional gates as few as possible in an acceptable amount...
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MSSSA: a multi-strategy enhanced sparrow search algorithm for global optimization
The sparrow search algorithm (SSA) is a recent meta-heuristic optimization approach with the advantages of simplicity and flexibility. However, SSA...
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A novel strategy for deterministic workflow scheduling with load balancing using modified min-min heuristic in cloud computing environment
Cloud Computing Environment (CCE) has gained considerable attention in recent years because of scalability, flexibility, and cost-effectiveness....
