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Genetic Algorithms Based Logic-driven Fuzzy Neural Networks for Emergency Capability Assessment of Hydropower Engineering

Ze-jun HAO, Yang CHEN
2017 DEStech Transactions on Materials Science and Engineering  
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)

Admi Syarif, Lampung University Jl. S. Brodjonegoro No.1, Dian Anggraini, Kurnia Muludi, Wamiliana Wamiliana, Mitsuo Gen, Lampung University Jl. S. Brodjonegoro No.1, Lampung University Jl. S. Brodjonegoro No.1, Lampung University Jl. S. Brodjonegoro No.1, Tokyo University of Science
2020 International Journal of Intelligent Engineering and Systems  
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

Frederico T. Silva, Mateus X. Silva, Jadson C. Belchior
2019 Frontiers in Chemistry  
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

Boxin Guan, Changsheng Zhang, Jiaxu Ning
2017 AMB Express  
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

Steve Carr, Philip Sweany
2004 Proceedings of the 2004 international conference on Compilers, architecture, and synthesis for embedded systems - CASES '04  
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

Ahmed A. Ewees, Mohammed A. A. Al-qaness, Laith Abualigah, Diego Oliva, Zakariya Yahya Algamal, Ahmed M. Anter, Rehab Ali Ali Ibrahim, Rania M. Ghoniem, Mohamed Abd Abd Elaziz
2021 Mathematics  
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

Nandini Mishra
2013 IOSR Journal of Computer Engineering  
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

Mohamed A. Damos, Jun Zhu, Weilian Li, Abubakr Hassan, Elhadi Khalifa
2021 ISPRS International Journal of Geo-Information  
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


Prateek Shrivastava, Khemraj Deshmukh
2015 International journal of research - granthaalayah  
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

Chang-Hyeon Joh, Theo A. Arentze, Harry J.P. Timmermans
2010 Geographical Analysis  
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

Fulya Altiparmak, Berna Dengiz, Alice E. Smith
2003 Journal of Heuristics  
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

Mohammad Mehrabi, Biswajeet Pradhan, Hossein Moayedi, Abdullah Alamri
2020 Sensors  
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

M. Wiggins, A. Saad, B. Litt, G. Vachtsevanos
2008 Applied Soft Computing  
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

Yang Zhang, Peter I. Rockett
2009 Evolutionary Computation  
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

Oluwatoyin C. Agbonifo, Olanrewaju A. Obolo
2018 International Journal of Modern Education and Computer Science  
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
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