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Discrete Optimization of Ship Structures with Genetic Algorithms

Hisashi Nobukawa, Guoqiang Zhou
1996 Journal of the Society of Naval Architects of Japan  
A mutation is the occasional random alteration of an allele's value in a new string. In a binary coding, it means changing a 1 to a 0 and vice versa, as shown in Fig. 1( b ) .  ...  A simple genetic algorithm with the genetic operators of reproduction, crossover and mutation is used for the search procedure.  ... 
doi:10.2534/jjasnaoe1968.1996.293 fatcat:vgm4aucotrggljjg74nvxsysha

Performance Analysis of Neural Networks Training using Real Coded Genetic Algorithm

Partha PratimSarangi, Banshidhar Majhi, Madhumita Panda
2012 International Journal of Computer Applications  
Both binary coded and real coded genetic algorithm are used and a comparative training performance analysis has been studied.  ...  Hence real-coded genetic algorithm finds an alternative for back propagation based training algorithm.  ...  Crossover rate: 0.8 in both binary and real GA 10. Single-point crossover operator in binary coded GA 11. Arithmetic crossover operator used in real coded GA 12.  ... 
doi:10.5120/8143-1891 fatcat:iv5fjbxjjbej5h24tekcqfyaxi

Page 652 of American Society of Civil Engineers. Collected Journals Vol. 129, Issue 5 [page]

2003 American Society of Civil Engineers. Collected Journals  
Evolutionary Operators Traditional genetic algorithms employ the standard reproductive operators of crossover and mutation.  ...  In this study, the design variables coded as binary strings were organized in a hierarchical tree.  ... 

Overview of Selection Schemes In Real-Coded Genetic Algorithms and Their Applications

Anil S. Mokhade, Omprakash G. Kakde
2014 Journal of Industrial and Intelligent Information  
It discusses the evolution of genetic algorithms, their principles of working and advantages of real-coded genetic algorithms.  ...  This paper is the overview of the selection schemes in genetic algorithms with particular reference to real-coded genetic algorithms.  ...  In this paper attempt is made to take an overview of 'selection' operator of real-coded genetic algorithms so as to build the base for performance analysis of real-coded genetic algorithms. B.  ... 
doi:10.12720/jiii.2.1.71-77 fatcat:j2vw4oguonbjflnmki3safwfmu

Implementation of a genetic algorithm for energy design optimization of livestock housing using a dynamic thermal simulator

Maria Elena Menconi, Massimo Chiappini, David Grohmann
2013 Journal of Agricultural Engineering  
A Genetic Algorithm (GA) is an optimization process inspired by natural systems ability of surviving in many different environments through the mechanisms of natural selection and genetics.  ...  In order to test the code and to find the best combination of parameters, a parametric analysis of GA's performances is carried out. The algorithm, coded in Matlab, works with populations of strings.  ...  We recall that the GA has been realized in standard binary code, with the use of an elitist strategy, the selection based on fitness using a Stochastic Universal Sampling, and the use of single point crossover  ... 
doi:10.4081/jae.2013.280 fatcat:intx6fb2wnbfhhszi4y2gqkl34

Implementation of a genetic algorithm for energy design optimization of livestock housing using a dynamic thermal simulator

Maria Elena Menconi, Massimo Chiappini, David Grohmann
2013 Journal of Agricultural Engineering  
A Genetic Algorithm (GA) is an optimization process inspired by natural systems ability of surviving in many different environments through the mechanisms of natural selection and genetics.  ...  In order to test the code and to find the best combination of parameters, a parametric analysis of GA's performances is carried out. The algorithm, coded in Matlab, works with populations of strings.  ...  We recall that the GA has been realized in standard binary code, with the use of an elitist strategy, the selection based on fitness using a Stochastic Universal Sampling, and the use of single point crossover  ... 
doi:10.4081/jae.2013.s2.e38 fatcat:lzd3j42vgbag5cr7d5rxrwgmya

Genetic Algorithms: Basic Ideas, Variants and Analysis [chapter]

R. R.
2007 Vision Systems: Segmentation and Pattern Recognition  
One-point crossover of binary strings One-point crossover is a simple and often-used method for genetic algorithms which operate on binary strings.  ...  In simple genetic algorithm size of population n and binary string length m is fixed and don't changes in process of evolution.  ...  genetic algorithm and some of variants.  ... 
doi:10.5772/4971 fatcat:f5fgpgf6prai7d5uyu7winwbvu

Discrete Optimization of Ship Structures from the Viewpoint of Practical Design

Guoqiang Zhou, Hisashi Nobukawa, Fengxiang Yang
1997 Journal of the Society of Naval Architects of Japan  
The search efficiency of some genetic strategies such as the elitist preserving selection, the multi-point crossover and the uniform crossover is also investigated in this paper.  ...  The structural construction cost of hold length between two transverse bulkheads is chosen as the objective function to be minimized by genetic algorithms.  ...  If a mutation operation is executed, it means changing a 1 to a 0 and vice versa in a binary coding. 2 Numerical Algorithms The flowchart of genetic algorithms is shown in Fig. 6 .  ... 
doi:10.2534/jjasnaoe1968.1997.182_551 fatcat:z2oja4svsrfg3cjsjpqpnmmhzy

Genetic Algorithms for Soft-Decision Decoding of Linear Block Codes

Harpal Maini, Kishan Mehrotra, Chilukuri Mohan, Sanjay Ranka
1994 Evolutionary Computation  
We present genetic algorithms for soft-decision decoding of binary linear block codes and compare the performance with various other decoding algorithms.  ...  We define a new crossover operator tha.t exploits domain-specific information and compare it with uniform and two point crossover.  ...  Acknowledgements We would like to acknowledge the willing help and cooperation of Prof. C. R. P . Hartmann and Dr. Y. S. Han. We also thank Prof. H. F Mattson, Jr., for helpful comments.  ... 
doi:10.1162/evco.1994.2.2.145 fatcat:avnyfxxcyjea7bux3egtumqhzm

Tackling Real-Coded Genetic Algorithms

M. Nishidhar Babu, Y. Kiran, A. Ramesh | V. Rajendra
2017 International Journal of Trend in Scientific Research and Development  
In this paper we review the features of real coded genetic algorithms.  ...  These algorithms process a population of chromosomes, which represent search space solutions, with three operations: selection, crossover and mutation.  ...  Different models of genetic operators and some mechanisms available for studying the behavior of this type of genetic s, real coded genetic Genetic algorithms (GAs) are general purpose search algorithms  ... 
doi:10.31142/ijtsrd5905 fatcat:rw6dddewrja6lo6pakhqveuuva

Novel Multi-Gen Multi Parameter Genetic Algorithm Representation for Attributes Selection and Porosity Prediction

Muna Hadi, Hadeel Mohammed
2016 International Journal of Computer Applications  
In order to tackle this problem this paper proposes a binary-real code multi-gen multi-parameter genetic algorithm for attributes selection from large seismic data and prediction of effective porosity.  ...  Genetic Algorithm (GA) uses three selection methods for this purpose, mean square error and correlation coefficient are two witness criteria to choose the best subset of attributes that minimize the error  ...  Real-coded genetic algorithm differ from the binary-coded genetic algorithm in the coding of the problem variables.  ... 
doi:10.5120/ijca2016909614 fatcat:cnvxtpqhgjdw7cdtwu5efc2nnq

Fault Diagnosis of Manufacturing Processes via Genetic Algorithm Approach

Stefania Gallova
2007 Engineering Letters  
A success of a genetic algorithm is crucially connected with the adaptive plan which controls "mutation" and "crossover" actions, and hence the production of the new solutions.  ...  In this contribution, there is investigated a self-learning of diagnostic rules through genetic algorithms approach.  ...  An analysis of the change in the relative proportions of schema instances leads to an explanation of the success of genetic algorithm.  ... 
dblp:journals/engl/Gallova07 fatcat:cxday7hdc5bvzinrxz62gnqbhm

Parameter Estimation of Three-Phase Induction Motor by Using Genetic Algorithm

Seesak Jangjit, Panthep Laohachai
2009 Journal of Electrical Engineering and Technology  
This paper suggests the techniques in determining the values of the steady-state equivalent circuit parameters of a three-phase induction machine using genetic algorithm.  ...  The propose estimation algorithm is of non-linear kind based on selection in genetic algorithm.  ...  Mutation Operation When binary coding is used, the genetic algorithm mutation simply changes a bit from "0" to "1" or vice versa.  ... 
doi:10.5370/jeet.2009.4.3.360 fatcat:gaa4cnervvgzllrk2nhcxotbka

Optimisation of Rice Fertiliser Composition using Genetic Algorithms

Retno Dewi Anissa, Wayan Firdaus Mahmudy, Agus Wahyu Widodo
2019 Knowledge Engineering and Data Science  
Genetic algorithm is used to optimise the composition for a more affordable price. The process of genetic algorithm is done by using a representation of a real code chromosome.  ...  The reproduction process using a one-cut point crossover and random mutation, while for the selection using binary tournament selection process for each chromosome.  ...  The kindness and knowledge of one and all strengthened this analysis in countless ways and rescued us from many errors.  ... 
doi:10.17977/um018v2i22019p72-81 fatcat:gf32fzxsafhphmuitwtqret65y

Hydrocarbon resource estimation: a stochastic approach

Biswajit Thander, Anirbid Sircar, G. P. Karmakar
2014 Journal of Petroleum Exploration and Production Technology  
Genetic algorithm has been used in various applications including reserve estimations in oil and gas industry for the last few decades.  ...  In the second step a fitness value is assigned to each individual. The best fit parents are then selected and by crossover and mutation of new populations are generated.  ...  Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s)  ... 
doi:10.1007/s13202-014-0144-8 fatcat:z7xen72wdjcntpewupwtsemffy
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