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Finding Optimal Input Values for Desired Target Output by Using Particle Swarm Optimization Algorithm Within Probabilistic Models


Klepac, Goran
Finding Optimal Input Values for Desired Target Output by Using Particle Swarm Optimization Algorithm Within Probabilistic Models // Incorporating Nature-Inspired Paradigms in Computational Applications / Khosrow-Pour, Mehdi. (ur.).
USA, Hershey, PA: IGI - global, 2018. str. 76-107 doi:10.4018/978-1-5225-5020-4.ch003


Naslov
Finding Optimal Input Values for Desired Target Output by Using Particle Swarm Optimization Algorithm Within Probabilistic Models

Autori
Klepac, Goran

Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, ostalo

Knjiga
Incorporating Nature-Inspired Paradigms in Computational Applications

Urednik/ci
Khosrow-Pour, Mehdi.

Izdavač
IGI - global

Grad
USA, Hershey, PA

Godina
2018

Raspon stranica
76-107

ISBN
9781522550204

Ključne riječi
Swarm intelligence , optimisation

Sažetak
Developed predictive models, especially models based on probabilistic concept, regarding numerous potential combinatory states can be very complex. That complexity can cause uncertainty about which factors should have which values to achieve optimal value of output. An example of that problem is developed with a Bayesian network with numerous potential states and their interaction when we would like to find optimal value of nodes for achieving maximum probability on specific output node. This chapter shows a novel concept based on usage of the particle swarm optimization algorithm for finding optimal values within developed probabilistic models.

Izvorni jezik
Engleski



POVEZANOST RADA


Profili:

Avatar Url Goran Klepac (autor)

Citiraj ovu publikaciju

Klepac, Goran
Finding Optimal Input Values for Desired Target Output by Using Particle Swarm Optimization Algorithm Within Probabilistic Models // Incorporating Nature-Inspired Paradigms in Computational Applications / Khosrow-Pour, Mehdi. (ur.).
USA, Hershey, PA: IGI - global, 2018. str. 76-107 doi:10.4018/978-1-5225-5020-4.ch003
Klepac, G. (2018) Finding Optimal Input Values for Desired Target Output by Using Particle Swarm Optimization Algorithm Within Probabilistic Models. U: Khosrow-Pour, M. (ur.) Incorporating Nature-Inspired Paradigms in Computational Applications. USA, Hershey, PA, IGI - global, str. 76-107 doi:10.4018/978-1-5225-5020-4.ch003.
@inbook{inbook, author = {Klepac, G.}, editor = {Khosrow-Pour, M.}, year = {2018}, pages = {76-107}, DOI = {10.4018/978-1-5225-5020-4.ch003}, keywords = {Swarm intelligence , optimisation}, doi = {10.4018/978-1-5225-5020-4.ch003}, isbn = {9781522550204}, title = {Finding Optimal Input Values for Desired Target Output by Using Particle Swarm Optimization Algorithm Within Probabilistic Models}, keyword = {Swarm intelligence , optimisation}, publisher = {IGI - global}, publisherplace = {USA, Hershey, PA} }

Časopis indeksira:


  • Scopus


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