Results 31 to 40 of about 8,428,042 (339)
Optimizing genetic algorithm strategies for evolving networks [PDF]
SPIE International Symposium on Fluctuations and Noise, 2004 This paper explores the use of genetic algorithms for the design of networks, where the demands on the network fluctuate in time. For varying network constraints, we find the best network using the standard genetic algorithm operators such as inversion ...
M. Berryman, A. Allison, Derek Abbott
semanticscholar +1 more source
A Hybrid Genetic-Hierarchical Algorithm for the Quadratic Assignment Problem
Entropy, 2021 In this paper, we present a hybrid genetic-hierarchical algorithm for the solution of the quadratic assignment problem. The main distinguishing aspect of the proposed algorithm is that this is an innovative hybrid genetic algorithm with the original ...
Alfonsas Misevičius, Dovilė Verenė
doaj +1 more source
Adaptive Genetic Algorithm for Optical Metasurfaces Design
Scientific Reports, 2018 As optical metasurfaces become progressively ubiquitous, the expectations from them are becoming increasingly complex. The limited number of structural parameters in the conventional metasurface building blocks, and existing phase engineering rules do ...
Samad Jafar-Zanjani +2 more
semanticscholar +1 more source
Genetic Drift in Genetic Algorithm Selection Schemes
, 1999 A method for calculating genetic drift in terms of changing population fitness variance is presented. The method allows for an easy comparison of different selection schemes and exact analytical results are derived for traditional generational selection,
Prügel-Bennett, A., Rogers, A.
core +2 more sources
Genetic heterogeneity analysis using genetic algorithm and network science [PDF]
arXiv, 2023 Through genome-wide association studies (GWAS), disease susceptible genetic variables can be identified by comparing the genetic data of individuals with and without a specific disease. However, the discovery of these associations poses a significant challenge due to genetic heterogeneity and feature interactions.
arxiv
Stream Cipher Using Genetic Algorithm [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2009 The research tackles newly suggested method in generating the random key used in stream cipher, by generating the key randomly using rand function and then applying randomness conditions if the produced key satisfy the conditions then its accepted key ...
Melad saeed
doaj +1 more source
Comparison of REML methods for the study of phenome-wide genetic variation [PDF]
arXiv, 2022 It is now well documented that genetic covariance between functionally related traits leads to an uneven distribution of genetic variation across multivariate trait combinations, and possibly a large part of phenotype-space that is inaccessible to evolution.
arxiv
Safety Production Management of Hazardous Chemical Products Based on Optimized Genetic Algorithm
Chemical Engineering Transactions, 2018 The improvement of genetic algorithm and its application in Hazardous chemical production are discussed in order to improve the production efficiency of Hazardous chemical industry. The genetic algorithm is improved by using ASPEN method.
Meiyan Du
doaj +1 more source
Phase Transitions and Symmetry Breaking in Genetic Algorithms with Crossover
, 2006 In this paper, we consider the role of the crossover operator in genetic algorithms. Specifically, we study optimisation problems that exhibit many local optima and consider how crossover affects the rate at which the population breaks the symmetry of ...
Jennings, N. R. +2 more
core +1 more source
Mutual benefits of two multicriteria analysis methodologies: A case study for batch plant design [PDF]
, 2009 This paper presents a MultiObjective Genetic Algorithm (MOGA) optimization framework for batch plant design. For this purpose, two approaches are implemented and compared with respect to three criteria, i.e., investment cost, equipment number and a ...
Azzaro-Pantel, Catherine +1 more
core +2 more sources