Leader Glowworm Swarm Optimization Algorithm for Solving Nonlinear Equations Systems

• Autorzy: Zhou Y. , Liu J. , Zhao G.

Warianty tytułu

PL

Algorytm mrówkowy świetlikowy do rozwiązywania systemu równań nieliniowych

• Języki publikacji: EN

Abstrakty

EN

This paper presents a leader glowworm swarm optimization algorithm (LGSO) for solving nonlinear equations systems. Since glowworm swarm optimization algorithm has bad optimized ability at high dimension, proposing glowworm swarm optimization algorithm with leader mechanism to strengthen the global optimization ability. Through various types nonlinear equations testing, experiment results show that the proposed algorithm has strong global searching capability and quickly finding the solutions of the equations, thus obviously improving the optimization global ability.

PL

Zaprezentowano optymalizacyjny algorytm mrówkowy “świetlikowy” do rozwiązywania system równań nieliniowych. Ponieważ algorytm ten ma słabe możliwości optymalizacyjne przy dużych rozmiarach wprowadzono wspomagający mechanizm prowadzący „leader”.

Słowa kluczowe

EN

glowworm swarm optimization; leader glowworm swarm optimization; nonlinear equation systems

PL

algorytm mrówkowy; równania nieliniowe

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2012
• Tom: R. 88, nr 1b
• Strony: 101--106
• Opis fizyczny: Bibliogr. 15 poz., rys., tab., wykr.

Twórcy

autor

Zhou Y.

autor

Liu J.

autor

Zhao G.

• College of Mathematics and Computer Science, Guangxi University for Nationalities, Nanning 530006, China,

Bibliografia

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