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The automatic generation of mutation operators for genetic algorithms
2012
Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion - GECCO Companion '12
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We automatically generate mutation operators for Genetic Algorithms (GA) and tune them to problem instances drawn from a given problem class. ...
Iterated local search is used to search the space of mutation operators, and on a test-bed of 7 problem classes we identify machine-designed mutation operators which outperform their human counterparts ...
Genetic Programming (GP) [4] is a standard method for automatically generating algorithms. ...
doi:10.1145/2330784.2330796
dblp:conf/gecco/WoodwardS12
fatcat:amn5x25mrrfvlbut2jzfhuwgbe
The Algorithm for Algorithms: An Evolutionary Algorithm Based on Automatic Designing of Genetic Operators
2015
Mathematical Problems in Engineering
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The resulting algorithm not only explores solutions in the problem space like most traditional evolutionary algorithms do, but also automatically generates genetic operators in the operator space. ...
In this paper, a novel evolutionary algorithm based on automatic designing of genetic operators is presented to address these questions. ...
Acknowledgments The authors would like to thank the anonymous reviewers for their very detailed and helpful comments that help us to increase the quality of this work. ...
doi:10.1155/2015/474805
fatcat:uzgqpw5bejhifndyrtoxsao3e4
Parameter Optimization Design for Automatic Cotton Blending Based on Improved Adaptive Genetic Algorithm
2018
Journal of Information Hiding and Multimedia Signal Processing
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On the basis of analysis of the standard genetic algorithm shortcomings in the process parameters optimization of mechanized cotton. ...
a kind of improved adaptive genetic algorithm optimization method. ...
This work is supported by scientific research funded project of Zhejiang Industry Polytechnic College and scientific research funded project of Science Technology Department of Zhejiang Province (2015C31128 ...
dblp:journals/jihmsp/Chen18
fatcat:srmv3agyrfgbphhmefutxl2yxq
Software Testing Strategy Approach on Source Code Applying Conditional Coverage Method
2015
International Journal of Software Engineering & Applications
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Test case data is generated automatically using genetic algorithm are optimized and outperforms the test cases generated by random testing. ...
Hence test case generation may be treated as an optimization problem In this paper we have used genetic algorithm to optimize the test case that are generated applying conditional coverage on source code ...
ACKNOWLEDGMENT We are thankful to the faculty of Computer Science and Engineering, Shri Ramswaroop Memorial University for the motivation and continuous support time to time. ...
doi:10.5121/ijsea.2015.6303
fatcat:balwtbsm35hl7ltkqgmhnvmcuu
Review of Genetic Algorithm and Application in Software Testing
2017
International Journal of Computer Applications
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This paper reviews the use of Genetic algorithm to automatically generate test case using the random method. ...
Software testing consumers a lot of time, effort and money, therefore the focus of testing largely depends on test case generation, execution and evaluation. ...
Genetic Operators Genetic algorithm uses three main operators which are selection, crossover and mutation. ...
doi:10.5120/ijca2017912965
fatcat:2wvsopmycfgabi4t242qeskmlu
Solving the no-wait job-shop problem by using genetic algorithm with automatic adjustment
2011
The International Journal of Advanced Manufacturing Technology
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This paper describes a methodology of automatic genetic algorithm parameters adjustment dedicated to a job-shop problem with a no-wait constraint with a makespan criterion. ...
The numerical results show that in a given problem, the efficiency of an algorithm with auto-tuning is placed at the level of an algorithm steered in a classical way with the best-fit steering parameters ...
Acknowledgements The work was partially supported by the ...
doi:10.1007/s00170-011-3297-3
fatcat:4ajdoh57ofefzhvpkp2hsgghbm
AN IMPROVED GENETIC ALGORITHM FOR TEST DATA GENERATION FOR SIMULINK MODELS
2017
Journal of Computer Science and Cybernetics
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This algorithm involves some modifications of genetic operators and the employment of memory mechanism to enhance its effectiveness. ...
Although many research works have been done in the field of search-based testing, automatic test data generation based on the mutation analysis method is not straightforward. ...
A mutation operator for the improved genetic algorithm In addition to the crossover operation, the mutation operator [18] used to maintain genetic diversity from one generation of a population of individuals ...
doi:10.15625/1813-9663/33/1/9315
fatcat:zs5z4nbe5nferme22sxwq4rle4
Research and Applications of Shop Scheduling Based on Genetic Algorithms
2016
Brazilian Archives of Biology and Technology
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generation and is able to avoid the emergence of local minimum, and cyclic and crossover operation and mutation operation can enhance the diversity of the population and then quickly get the optimal individual ...
Existing studies have shown that improved genetic algorithm has solved the limitations that existed in the genetic algorithm, the objective function is able to meet customers' needs for shop scheduling ...
mutation operation
Figure 7 Figure 8 78 Figure 7 Convergent curve of genetic algorithm for FT(6X6)
Figure 9 - 9 Figure 9 -Compare of Convergent curveCONCLUSIONSo far a lot of genetic algorithms can ...
doi:10.1590/1678-4324-2016160545
fatcat:flt6movwyraxtc4s44cb4y2z3e
A Review of Random Test Case Generation using Genetic Algorithm
2017
Indian Journal of Science and Technology
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Findings: Genetic Algorithms are successfully used in software testing with increasing number of test case generation and provides a means of an automatic test case generator. ...
Applications/Improvements: This study gives us a brief idea to implement Genetic Algorithms in software testing for optimum results and also it can be used with the neural networks and fuzzy systems for ...
The applied a new algorithm called as Genetic-Particle Swarm Mixed Algorithm (GPSMA) to automatically generate software test data. ...
doi:10.17485/ijst/2017/v10i30/107654
fatcat:stvw5oweknblnc5ysr4vt3gg4y
A Review of Random Test Case Generation using Genetic Algorithm
2017
Indian Journal of Science and Technology
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Findings: Genetic Algorithms are successfully used in software testing with increasing number of test case generation and provides a means of an automatic test case generator. ...
Applications/Improvements: This study gives us a brief idea to implement Genetic Algorithms in software testing for optimum results and also it can be used with the neural networks and fuzzy systems for ...
The applied a new algorithm called as Genetic-Particle Swarm Mixed Algorithm (GPSMA) to automatically generate software test data. ...
doi:10.17485/ijst/2017/v10i19/107654
fatcat:mosskmlnzfgxlk4mziueurfv34
Smart and Dynamic Time Table Generator
2019
International Journal for Research in Applied Science and Engineering Technology
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In order to reduce this defect we use genetic algorithm to generate a dynamic timetable. ...
The manual operation of the timetable preparation in college is very monotonous, time consuming and very difficult process. ...
CONCLUSION As discussed, an evolutionary algorithm, genetics algorithm for time tabling has been proposed. The intention of the algorithm to generate a time-table schedule automatically is satisfied. ...
doi:10.22214/ijraset.2019.3205
fatcat:y2xbeopcfvbyhig6dvja6jggny
Electronic Circuit Automatic Design Based on Genetic Algorithms
2011
Procedia Engineering
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In this paper, proposed one kind of genetic algorithms which uses in the electronic circuit automatic design and through the experiment proved, this algorithm obtains the circuit structure to surpass the ...
for the duty change. ...
B
Genetic Operation Crossover Operation: Crossover operation is the main method for the genetic algorithms to generate the new individual. ...
doi:10.1016/j.proeng.2011.08.555
fatcat:wwpxdkczmnc35c7wmcyelklwle
T-GEN: A Tabu Search Based Genetic Algorithm for the Automatic Playlist Generation Problem
2015
Procedia Computer Science
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Genetic algorithm is a promising technique for generating automatically, sequences of music that satisfy arbitrary user criteria. ...
But this has a disadvantage of selecting clones of the individuals as parents for the next generation. ...
To apply the genetic operators of selection, crossover and mutation, an initial population is randomly generated. ...
doi:10.1016/j.procs.2015.02.038
fatcat:r2cvrqf3s5hgndf7mplnks3e2y
Automatic Timetable Generation using Genetic Algorithm
IJARCCE - Computer and Communication Engineering
2015
IJARCCE
IJARCCE - Computer and Communication Engineering
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By using Genetic algorithm we are able to reduce the time require to generate time table and generate a timetable which is more accurate, precise and free of human errors. ...
To create timetable it requires lots of time and man power .In our paper we have tried to reduce these difficulties of generating timetable by Genetics Algorithm. ...
RenukaNagpure, Department of Information Technology, Atharva college of Engineeirng. ...
doi:10.17148/ijarcce.2015.4254
fatcat:ka3zz65jvzcwjnw75wytociqvm
Genetic Algorithm for Document Clustering with Simultaneous and Ranked Mutation
2009
Modern Applied Science
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In simultaneous mutation the genetic algorithm concurrently uses several mutation operators in producing the next generation. ...
In each stage of the genetic process in a problem, may involve aptly different mutation operators for best results. ...
Initially, the mutation ratios are the same for all operators. After a new generation or several generations, the mutation ratio of each operator is automatically and dynamically adjusted. ...
doi:10.5539/mas.v3n2p75
fatcat:e7rc5arxfrfwtpw5iqzbovpueq
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