Results 11 to 20 of about 1,538,880 (162)
Implementation of Memetic Algorithms into Structural Optimization
Communications, 2016 The paper presents an implementation of the memetic algorithm for discrete structural optimization. This algorithm is a combination of genetic algorithm and five local search methods.
Peter Pechac +3 more
doaj +2 more sources
Application of Memetic Algorithms in Multi-Criteria Structural Optimization
Communications, 2017 The goal of this paper is to present new innovative algorithms for discrete structural optimization of problems involving multi-criteria objective function, which contains stress, displacement and frequency constraints. The algorithm is tested on a shell
Peter Pechac +4 more
doaj +2 more sources
A niching memetic algorithm for simultaneous clustering and feature selection [PDF]
, 2008 Clustering is inherently a difficult task, and is made even more difficult when the selection of relevant features is also an issue. In this paper we propose an approach for simultaneous clustering and feature selection using a niching memetic algorithm.
Liu, X, Sheng, W, Fairhurst, M
core +6 more sources
Population Symmetrization in Genetic Algorithms
Applied Sciences, 2022 The paper presents a memetic modification of the classical genetic algorithm by introducing a cyclic symmetrization of the population, symmetrizing the parental points around the current population leader.
Grzegorz Kusztelak +2 more
doaj +1 more source
Comparison of Predictive Models for the Early Diagnosis of Diabetes [PDF]
Healthcare Informatics Research, 2016 ObjectivesThis study develops neural network models to improve the prediction of diabetes using clinical and lifestyle characteristics. Prediction models were developed using a combination of approaches and concepts.MethodsWe used memetic algorithms to ...
Meysam Jahani, Mahdi Mahdavi
doaj +1 more source
Local Search and the Evolution of World Models
Topics in Cognitive Science, EarlyView., 2023 Abstract An open question regarding how people develop their models of the world is how new candidates are generated for consideration out of infinitely many possibilities. We discuss the role that evolutionary mechanisms play in this process. Specifically, we argue that when it comes to developing a global world model, innovation is necessarily ...
Neil R. Bramley +3 more
wiley +1 more source
A Hybrid Discrete Memetic Algorithm for Solving Flow-Shop Scheduling Problems
Algorithms, 2023 Flow-shop scheduling problems are classic examples of multi-resource and multi-operation scheduling problems where the objective is to minimize the makespan.
Levente Fazekas +4 more
doaj +1 more source
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
doaj +1 more source
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
Matías Gabriel Rojas +3 more
doaj +1 more source
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
doaj +1 more source