Results 81 to 90 of about 1,538,880 (162)
Memetic Particle Gravitation Optimization Algorithm for Solving Clustering Problems
IEEE Access, 2019 Data clustering is a well-known data analysis technique for organizing unlabeled datapoints into clusters on the basis of similarity measures. The real-world applications of data clustering include bioinformatics, vector quantization, data mining ...
Ko-Wei Huang +5 more
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, 2017 Evolutionary algorithms (EAs) have recently been suggested as candidate for solving big data optimisation problems that involve very large number of variables and need to be analysed in a short period of time.
Yearwood, John +2 more
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Breaking a Playfair Cipher Using Memetic Algorithm
Journal of Engineering and Sustainable Development, 2013 The Playfair cipher operates on pairs of letters. The ciphertext is broken into groups of blocks, each block contains two letters. Encryption and decryption cipher depends on key search, which is a square matrix that contains 5x5 letters.
Dalal Abdulmohsin Hammood
doaj
An Efficient Memetic Algorithm for the Minimum Load Coloring Problem
Mathematics, 2019 Given a graph G with n vertices and l edges, the load distribution of a coloring q: V → {red, blue} is defined as dq = (rq, bq), in which rq is the number of edges with at least one end-vertex colored red and bq is the number of edges with at least
Zhiqiang Zhang +3 more
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Finding Near-Optimal Weight Independent Sets at Scale
Journal of Graph Algorithms and ApplicationsComputing maximum weight independent sets in graphs is an important NP-hard optimization problem. The problem is particularly difficult to solve in large graphs for which data reduction techniques do not work well.
Ernestine Großmann +3 more
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Sequence motif finder using memetic algorithm
BMC Bioinformatics, 2018 Background De novo prediction of Transcription Factor Binding Sites (TFBS) using computational methods is a difficult task and it is an important problem in Bioinformatics.
Jader M. Caldonazzo Garbelini +2 more
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Evolutionary Algorithms for Query Op-timization in Distributed Database Sys-tems: A review
Advances in Distributed Computing and Artificial Intelligence Journal, 2018 Evolutionary Algorithms are bio-inspired optimization problem-solving approaches that exploit principles of biological evolution. , such as natural selection and genetic inheritance.
Zulfiqar ALI +2 more
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Tabu Search and Memetic Algorithms for a Real Scheduling and Routing Problem
, 2017 The Scheduling and Routing Problem (SRP) is a special case of the well-known vehicle routing problem, where a set of employees should perform an ensemble of services, at the clients’ locations.
Abdellah El-Fallahi +2 more
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Results in EngineeringAccurate prediction of coke strength after reaction (CSR) is essential for optimizing coke quality in the metallurgical industry, thereby minimizing production costs and maximizing resource utilization.
Jamal I. Al-Nabulsi +8 more
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Operations Research PerspectivesMachine breakdowns directly affect scheduling performance and production costs in manufacturing systems. Instead of focusing on reactive measures after failures, managing the factors that cause failures beforehand can help reduce them.
Shabnam Noori-Shahrivar +2 more
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