A Comparison between Single and Multi- Crossover Pointsto Break Hill Cipher Using Heuristic Search: MA & GA [PDF]
Engineering and Technology Journal, 2013 Hill cipher is a classical cipher which is based on linear algebra. In this method, matrices and matrix multiplication have been used to combine the plaintext. Heuristic search is a search techniques. The methods of HS are: (GA, SE, EP, MA, TS).
Dalal A. Hammood
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Memetic micro-genetic algorithms for cancer data classification
Intelligent Systems with Applications, 2023 Fast and precise medical diagnosis of human cancer is crucial for treatment decisions. Gene selection consists of identifying a set of informative genes from microarray data to allow high predictive accuracy in human cancer classification. This task is a
MatÃas Gabriel Rojas +3 more
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ADAPTIVE MULTI-OBJECTIVE SUB-PIXEL MAPPING FRAMEWORK BASED ON MEMETIC ALGORITHM FOR HYPERSPECTRAL REMOTE SENSING IMAGERY [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Sub-pixel mapping technique can specify the location of each class within the pixels based on the assumption of spatial dependence. Traditional sub-pixel mapping algorithms only consider the spatial dependence at the pixel level.
Y. Zhong, L. Zhang
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A particle swarm optimization based memetic algorithm for dynamic optimization problems [PDF]
, 2009 Copyright @ Springer Science + Business Media B.V. 2010.Recently, there has been an increasing concern from the evolutionary computation community on dynamic optimization problems since many real-world optimization problems are dynamic.
AS Uyar +25 more
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Quantum-Inspired Distributed Memetic Algorithm
Complex System Modeling and Simulation, 2022 This paper proposed a novel distributed memetic evolutionary model, where four modules distributed exploration, intensified exploitation, knowledge transfer, and evolutionary restart are coevolved to maximize their strengths and achieve superior global ...
Guanghui Zhang +4 more
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Submodular memetic approximation for multiobjective parallel test paper generation [PDF]
, 2017 Parallel test paper generation is a biobjective distributed resource optimization problem, which aims to generate multiple similarly optimal test papers automatically according to multiple user-specified assessment criteria.
Fong, Alvis C.M. +2 more
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The SOS Platform: Designing, Tuning and Statistically Benchmarking Optimisation Algorithms [PDF]
, 2020 open access articleWe present Stochastic Optimisation Software (SOS), a Java platform facilitating the algorithmic design process and the evaluation of metaheuristic optimisation algorithms.
Caraffini, Fabio, Iacca, Giovani
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Spacing memetic algorithms [PDF]
Proceedings of the 13th annual conference on Genetic and evolutionary computation, 2011 We introduce the Spacing Memetic Algorithm (SMA), a formal evolutionary model devoted to a systematic control of spacing (distances) among individuals. SMA uses search space distance information to decide what individuals are acceptable in the population, what individuals need to be replaced and when to apply mutations. By ensuring a "healthy" spacing (
Porumbel, Daniel Cosmin +2 more
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Memetic cooperative coevolution of Elman recurrent neural networks [PDF]
, 2013 Cooperative coevolution decomposes an optimi- sation problem into subcomponents and collectively solves them using evolutionary algorithms. Memetic algorithms provides enhancement to evolutionary algorithms with local search.
Chandra, Rohitash
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Detection of Buried Inhomogeneous Elliptic Cylinders by a Memetic Algorithm [PDF]
, 2003 The application of a global optimization procedure to the detection of buried inhomogeneities is studied in the present paper. The object inhomogeneities are schematized as multilayer infinite dielectric cylinders with elliptic cross sections.
Caorsi, Salvatore +4 more
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