Pregled bibliografske jedinice broj: 303514
EPSO: Evolutionary Particle Swarms
EPSO: Evolutionary Particle Swarms // Advances in Evolutionary Computing for System Design Series: Studies in Computational Intelligence , Vol. 66 / Jain, Lakhmi C. ; Palade, Vasile ; Srinivasan, Dipti (ur.).
New York (NY): Springer, 2007. str. 139-169
CROSBI ID: 303514 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
EPSO: Evolutionary Particle Swarms
Autori
Miranda, Vladimiro ; Keko, Hrvoje ; Jaramillo Duque, Alvaro
Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni
Knjiga
Advances in Evolutionary Computing for System Design Series: Studies in Computational Intelligence , Vol. 66
Urednik/ci
Jain, Lakhmi C. ; Palade, Vasile ; Srinivasan, Dipti
Izdavač
Springer
Grad
New York (NY)
Godina
2007
Raspon stranica
139-169
ISBN
978-3-540-72376-9
Ključne riječi
evolutionary, particle, swarm, algorithms
Sažetak
This chapter presents EPSO (Evolutionary Particle Swarm Optimization), as an evolutionary meta-heuristic that implements a scheme of self-adaptive recombination, borrowing the movement rule from PSO (Particle Swarm Optimization). Besides the basic model, it discusses a Stochastic Star topology for the communication among particles and presents a variant called differential EPSO or dEPSO. The chapter presents results in a didactic Unit Commitment/Generator Scheduling Power System problem and results of a competition among algorithms in an intelligent agent platform for Energy Re-tail Market simulation where EPSO comes out as the winner algorithm.
Izvorni jezik
Engleski
Znanstvena područja
Matematika, Elektrotehnika, Računarstvo
