Scheduling applications, including
job-shop scheduling and scheduling in
printed circuit board assembly.[14] The objective being to schedule jobs in a
sequence-dependent or non-sequence-dependent setup environment in order to maximize the volume of production while minimizing penalties such as tardiness. Satellite communication scheduling for the NASA Deep Space Network was shown to benefit from genetic algorithms.[15]
Stopping propagations, i.e. deciding how to cut edges in a graph so that some infectious condition (e.g. a disease, fire, computer virus, etc.) stops its spread. A bi-level genetic algorithm (i.e. a genetic algorithm where the fitness of each individual is calculated by running another genetic algorithm) was used due to the ΣP2-completeness of the problem.[18]
^Guillaume, Alexandre; Lee, Seugnwon; Wang, Yeou-Fang; Zheng, Hua; Hovden, Robert; Chau, Savio; Tung, Yu-Wen; Terrile, Richard J. (2007). "Deep Space Network Scheduling Using Evolutionary Computational Methods". 2007 IEEE Aerospace Conference. pp. 1–6.
doi:
10.1109/AERO.2007.352900.
ISBN978-1-4244-0524-4.
S2CID15862933.
^A. dos Santos-Paulino, J.-C. Nebel and F.Florez-Revuelta (2014) Evolutionary algorithm for dense pixel matching in presence of distortions, EvoStar Conference, Granada, Spain, 23–25 April 2014
^Patrascu, M. (2015). "Genetically enhanced modal controller design for seismic vibration in nonlinear multi-damper configuration". Proceedings of the Institution of Mechanical Engineers, Part I. 229 (2): 158–168.
doi:
10.1177/0959651814550540.
S2CID26599174.
^Wang S, Wang Y, Du W, Sun F, Wang X, Zhou C, Liang Y (2007). "A multi-approaches-guided genetic algorithm with application to operon prediction". Artificial Intelligence in Medicine. 41 (2): 151–159.
doi:
10.1016/j.artmed.2007.07.010.
PMID17869072.
^Wong, Ka-Chun; Leung, Kwong-Sak; Wong, Man-Hon (2010). "Effect of Spatial Locality on an Evolutionary Algorithm for Multimodal Optimization". Applications of Evolutionary Computation. Lecture Notes in Computer Science. Vol. 6024. pp. 481–490.
CiteSeerX10.1.1.655.5490.
doi:
10.1007/978-3-642-12239-2_50.
ISBN978-3-642-12238-5.
Scheduling applications, including
job-shop scheduling and scheduling in
printed circuit board assembly.[14] The objective being to schedule jobs in a
sequence-dependent or non-sequence-dependent setup environment in order to maximize the volume of production while minimizing penalties such as tardiness. Satellite communication scheduling for the NASA Deep Space Network was shown to benefit from genetic algorithms.[15]
Stopping propagations, i.e. deciding how to cut edges in a graph so that some infectious condition (e.g. a disease, fire, computer virus, etc.) stops its spread. A bi-level genetic algorithm (i.e. a genetic algorithm where the fitness of each individual is calculated by running another genetic algorithm) was used due to the ΣP2-completeness of the problem.[18]
^Guillaume, Alexandre; Lee, Seugnwon; Wang, Yeou-Fang; Zheng, Hua; Hovden, Robert; Chau, Savio; Tung, Yu-Wen; Terrile, Richard J. (2007). "Deep Space Network Scheduling Using Evolutionary Computational Methods". 2007 IEEE Aerospace Conference. pp. 1–6.
doi:
10.1109/AERO.2007.352900.
ISBN978-1-4244-0524-4.
S2CID15862933.
^A. dos Santos-Paulino, J.-C. Nebel and F.Florez-Revuelta (2014) Evolutionary algorithm for dense pixel matching in presence of distortions, EvoStar Conference, Granada, Spain, 23–25 April 2014
^Patrascu, M. (2015). "Genetically enhanced modal controller design for seismic vibration in nonlinear multi-damper configuration". Proceedings of the Institution of Mechanical Engineers, Part I. 229 (2): 158–168.
doi:
10.1177/0959651814550540.
S2CID26599174.
^Wang S, Wang Y, Du W, Sun F, Wang X, Zhou C, Liang Y (2007). "A multi-approaches-guided genetic algorithm with application to operon prediction". Artificial Intelligence in Medicine. 41 (2): 151–159.
doi:
10.1016/j.artmed.2007.07.010.
PMID17869072.
^Wong, Ka-Chun; Leung, Kwong-Sak; Wong, Man-Hon (2010). "Effect of Spatial Locality on an Evolutionary Algorithm for Multimodal Optimization". Applications of Evolutionary Computation. Lecture Notes in Computer Science. Vol. 6024. pp. 481–490.
CiteSeerX10.1.1.655.5490.
doi:
10.1007/978-3-642-12239-2_50.
ISBN978-3-642-12238-5.