A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Filters
Genetic Algorithms Based Logic-driven Fuzzy Neural Networks for Emergency Capability Assessment of Hydropower Engineering
2017
DEStech Transactions on Materials Science and Engineering
Preserved Fulltext
Emergency capability assessment of hydropower engineering is researched by using two fuzzy neural network ('FNN') models which are constructed with the aid of AND OR fuzzy neurons, namely: (i) the genetic ...
The performances of the two proposed models are tested and further validated using a big experimental data set of expert estimation by questionnaire investigation. ...
The right size of AND neurons in the GA-FNN model is found to be thirteen by using a method of trial and error. ...
doi:10.12783/dtmse/msce2016/10472
fatcat:glbxkdlw3revtggguudilczscq
Comparing Various Genetic Algorithm Approaches for Multiple-choice Multi-dimensional Knapsack Problem (mm-KP)
2020
International Journal of Intelligent Engineering and Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We investigate the use of two techniques that are included in the GA approach. ...
This paper aims to determine the best GA strategy and evaluate the performance of several heuristic algorithms to solve mm-KP. ...
We thank the anonymous reviewers for their constructive comments that helped us a lot in substantially improving this paper. ...
doi:10.22266/ijies2020.1031.40
fatcat:f6hqau4barcqrhyb3p2mx3b77i
A New Genetic Algorithm Approach Applied to Atomic and Molecular Cluster Studies
2019
Frontiers in Chemistry
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
to commonly used operators such as Deaven and Ho cut-and-splice crossover. ...
thirteen operators tested. ...
Moreover, we have assessed thirteen operators available in the literature and, within our simple and highly ubiased GA approach, twist operator was faster than commonly used Deaven and Ho's plane-cut-splice ...
doi:10.3389/fchem.2019.00707
pmid:31750290
pmcid:PMC6848380
fatcat:ni4sivkeyrbfzn4u2rikfdgeui
Genetic algorithm with a crossover elitist preservation mechanism for protein–ligand docking
2017
AMB Express
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
The performance of CEPGA is tested on sixteen molecular docking complexes from RCSB protein data bank. ...
In comparison with GA, LGA and SODOCK in the aspects of lowest energy and highest accuracy, the results of which indicate that the CEPGA is a reliable and successful method for protein-ligand docking problems ...
) and the National key Technology R&D Program of the Ministry of Science and Technology (2015BAH09F02). ...
doi:10.1186/s13568-017-0476-0
pmid:28905320
pmcid:PMC5597564
fatcat:rwekvveuufeszklqhz73ua2anm
Automatic data partitioning for the agere payload plus network processor
2004
Proceedings of the 2004 international conference on Compilers, architecture, and synthesis for embedded systems - CASES '04
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2004; you can also visit the original URL.
The file type is application/pdf.
With the ever-increasing pervasiveness of the Internet and its stringent performance requirements, network system designers have begun utilizing specialized chips to increase the performance of network ...
While some designs use ASICs to handle network functions, many system designers have moved toward using programmable network processors due to their increased flexibility and lower design cost. ...
The three operators, crossover, reproduction and mutation represent the basic tools that the GA uses to explore the search space for a solution. ...
doi:10.1145/1023833.1023867
dblp:conf/cases/CarrS04
fatcat:cg667uzyjnftxhdktq2mykhpym
Boosting Arithmetic Optimization Algorithm with Genetic Algorithm Operators for Feature Selection: Case Study on Cox Proportional Hazards Model
2021
Mathematics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Moreover, to further assess the performance of the proposed AOAGA method, two real-world problems containing gene datasets were used. ...
Algorithm (GA) operators. ...
Acknowledgments: The authors acknowledge the Deanship of Scientific Research at Princess Nourah bint Abdulrahman University.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/math9182321
fatcat:76jnsi7gergg3axlogrbifkpfy
High performance Cloud data mining algorithm and Data mining in Clouds
2013
IOSR Journal of Computer Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
We describe the design and implementation of a high performance cloud that we have used to archive, analyze and mine large distributed data sets. ...
Sector and Sphere are discussed for analyzing large data sets using computer clusters connected with wide area high performance networks. ...
However, it follows the basic procedure of canonical GA, including encoding, initialization, fitness assessment, selection, crossover and mutation. ...
doi:10.9790/0661-0845461
fatcat:kwchy4vcvjgmhkzs57gincplba
A Novel Urban Tourism Path Planning Approach Based on a Multiobjective Genetic Algorithm
2021
ISPRS International Journal of Geo-Information
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Moreover, the GA and analytical hierarchy process (AHP) were used in our proposed approach to evaluate urban tourism route planning under multiple conflicting objectives. ...
The main goal of this paper is to enhance the accuracy of the genetic algorithm (GA) by adopting new parameters and selecting the optimal tourism path by combining external and internal tourist site potentials ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/ijgi10080530
fatcat:6avfpeoemff67m2kmtfp6vx7bi
SIMULATION OF PSO BASED APPROACH FOR CMOL CELL ASSIGNMENT PROBLEM
2015
International journal of research - granthaalayah
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Particle swarm optimization (PSO) approach is used over genetic algorithms (GAS) to solve many of the same kinds of problems. ...
This effectively overcome the shortcomings of GA and provides better fitness solutions to implement in the circuit. ...
GENETIC OPERATORS 1) Crossover: Crossover is one of the main genetic operators in the GA. It takes two parent solutions to reproduce their children. ...
doi:10.29121/granthaalayah.v3.i5.2015.3009
fatcat:lotojanyjngsxaubib2jotddte
Multidimensional Sequence Alignment Methods for Activity-Travel Pattern Analysis: A Comparison of Dynamic Programming and Genetic Algorithms
2010
Geographical Analysis
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
These two SAMs are compared using empirical activity pattern data. The paper ends by discussing avenues of future research. ...
These measures however lack the ability to capture the information of the overall sequence of activity patterns of multiple attributes. ...
Table 4 compares GA-MDSAMs in terms of the kind of crossover operator, the kind of mutation operator and the Table 4 indicates that among the crossover operators, uniform crossover yields better results ...
doi:10.1111/j.1538-4632.2001.tb00447.x
fatcat:i32tzkwzfjhvjciweqmdfp7u6u
Optimal Design of Reliable Computer Networks: A Comparison of Metaheuristics
2003
Journal of Heuristics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2009; you can also visit the original URL.
The file type is application/pdf.
This paper compares the performance of three classic metaheuristic procedures for solving large and realistic versions of the problem: hillclimbing, simulated annealing and genetic algorithms. ...
Three alterations that use local search to seed the search or improve solutions during each iteration are also compared. ...
The key elements of the algorithm are crossover and mutation operators. Crossover combines the features of multiple parent structures to form offspring. ...
doi:10.1023/b:heur.0000012447.32370.fd
fatcat:a7rnac4ibbeclhhzp5jhjphyci
Optimizing an Adaptive Neuro-Fuzzy Inference System for Spatial Prediction of Landslide Susceptibility Using Four State-of-the-Art Metaheuristic Techniques
2020
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The landslide susceptibility maps were developed, and the accuracy of the models was evaluated by a ranking system, based on the calculated area under the receiving operating characteristic curve (AUROC ...
Four state-of-the-art metaheuristic algorithms including the genetic algorithm (GA), particle swarm optimization (PSO), differential evolutionary (DE), and ant colony optimization (ACO) are applied to ...
Generally, five major operators of GA are random number creator, fitness assessment unit, the genetic operator (i.e., for reproduction), crossover operator, and mutation operator. ...
doi:10.3390/s20061723
pmid:32204505
pmcid:PMC7147714
fatcat:vk6ayxrxrvaglgiojp65di7mje
Evolving a Bayesian classifier for ECG-based age classification in medical applications
2008
Applied Soft Computing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2010; you can also visit the original URL.
The file type is application/pdf.
To develop and compare the performance of Bayesian cla ssifiers. ...
Two methods of network discovery from data were developed and compared: the first using a greedy hill-climb search and the second employed evolutionary computing using a genetic algorithm (GA). ...
In each generation, the best individual is kept, and a crossover and mutation rate of 0.6 and 0.01 are applied, respectively, using operators including arithmetic crossover, heuristic crossover, simple ...
doi:10.1016/j.asoc.2007.03.009
pmid:22010038
pmcid:PMC3193938
fatcat:zjqpjhhc3fayvixgjyltxusbxm
A Generic Multi-dimensional Feature Extraction Method Using Multiobjective Genetic Programming
2009
Evolutionary Computation
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Although principally focused on feature extraction, feature selection is also performed as an implicit side-effect; we show that both feature extraction and selection are important to the success of our ...
In this paper, we present a generic, feature extraction method for pattern classification using multiobjective genetic programming. ...
Acknowledgments One of us (YZ) is grateful for the financial support of a Universities UK Overseas Research Student Award Scheme (ORSAS) scholarship and the Great Britain-China Educational Trust together ...
doi:10.1162/evco.2009.17.1.89
pmid:19207089
fatcat:krt7f22gmngajcdt7xtisk245q
Genetic Algorithm-based Curriculum Sequencing Model For Personalised E-Learning System
2018
International Journal of Modern Education and Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Hence, these affect the learning ability and the overall performance of learners. ...
The result of the implementation showed that the genetic algorithm is suitable to generate the optimal learning path using the values of difficulty level and relationship degree of course concepts. ...
learning path
Swap Gene to generate another two learning
path
Perform CROSSOVER Operation
CONTINUE
Re-compute Fitness Values
Perform MUTATION operation for highest
value
IF Fitness Value > CROSSOVER ...
doi:10.5815/ijmecs.2018.05.04
fatcat:kgnfhcgc4rd33hg6nyf2xfg7ie
« Previous
Showing results 1 — 15 out of 2,739 results