Results 281 to 290 of about 1,270,531 (339)
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Selective breeding in a multiobjective genetic algorithm

1998
This 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, 2012
Selecting 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
openaire   +2 more sources

Genetic algorithm attributes for component selection

Research in Engineering Design, 1996
This 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 ...
openaire   +2 more sources

Automated Operator Selection on Genetic Algorithms

2005
Genetic 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
openaire   +2 more sources

A k-NN method for lung cancer prognosis with the use of a genetic algorithm for feature selection

Expert systems with applications, 2021
Negar Maleki   +2 more
semanticscholar   +1 more source

Genetic algorithms in controller structure selection

1st International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA), 1995
The 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
openaire   +2 more sources

An effective genetic algorithm-based feature selection method for intrusion detection systems

Computers & security, 2021
Z. Halim   +7 more
semanticscholar   +1 more source

A problem-specific non-dominated sorting genetic algorithm for supervised feature selection

Information Sciences, 2021
Yu Zhou   +4 more
semanticscholar   +1 more source

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