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Selective breeding in a multiobjective genetic algorithm
1998This paper describes an investigation of the efficacy of various elitist selection strategies in a multiobjective Genetic Algorithm implementation, with parents being selected both from the current population and from the archive record of nondominated solutions encountered during search.
I. Miller, Geoffrey T. Parks
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Vendor selection using genetic algorithm
The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems, 2012Selecting the right vendor is a complex business decision due to a huge number of competing vendors with a large number of complex criteria. The organization will suffer in the long run if vendors are not chosen wisely. Under multi criteria decision making, an algorithm, named VSFI, based on fuzzy clustering was proposed to select the most optimal ...
Shaila Sharmeen+4 more
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Genetic algorithm attributes for component selection
Research in Engineering Design, 1996This paper uses a genetic algorithm for component selection given a user-defined system layout, a database of components, and a defined set of design specifications. A genetic algorithm is a search method based on the principles of natural selection. An introduction to genetic algorithms is presented, and genetic algorithm attributes that are useful ...
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Automated Operator Selection on Genetic Algorithms
2005Genetic Algorithms (GAs) have proven to be a useful means of finding optimal or near optimal solutions to hard problems that are difficult to solve by other means. However, determining which crossover and mutation operator is best to use for a specific problem can be a complex task requiring much trial and error. Furthermore, different operators may be
Fredrik G. Hilding, Koren Ward
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A k-NN method for lung cancer prognosis with the use of a genetic algorithm for feature selection
Expert systems with applications, 2021Negar Maleki+2 more
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Genetic algorithms in controller structure selection
1st International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA), 1995The selection of an appropriate set of manipulated variables to control a set of specified outputs is an important aspect of MIMO system design. This paper details how genetic algorithms may be used to provide an automated optimisation procedure for the selection of the input-output pairings based upon the Relative Gain Array (RGA).
I.G. French, C.S. Cox, C. K. S. Ho
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Knowledge-Based Systems, 2021
Yu Xue, Hao Zhu, Jiayu Liang, A. Słowik
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Yu Xue, Hao Zhu, Jiayu Liang, A. Słowik
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An effective genetic algorithm-based feature selection method for intrusion detection systems
Computers & security, 2021Z. Halim+7 more
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A problem-specific non-dominated sorting genetic algorithm for supervised feature selection
Information Sciences, 2021Yu Zhou+4 more
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