Genetic Algorithm-Particle Swarm Optimization (GA-PSO) for Economic Load Dispatch

• Autorzy: Younes M. , Benhamida F.

Warianty tytułu

PL

Hybrydowy algorytm genetyczny/mrówkowy jako metoda optymalizacji ekonomicznego rozsyłu energii

• Języki publikacji: EN

Abstrakty

EN

This paper presents a method for Economic Load Dispatch (ELD). Economic dispatch problem is basically an optimization problem where objective function may be highly nonlinear, non-convex, and no differentiable and may have multiple local minima. Therefore classical optimization methods may be trapped to any local minima and may not be able to reach the global minima. The solution to this problem was presented by the application of heuristics methods such as genetic algorithms unfortunately the long execution time and non-guaranteed in convergence to the global optimal solution contribute the main disadvantages of GAs. In this paper provides a solution to this problem through a hybrid method Genetic algorithm - Particle Swarm Optimization (GA-PSO).

PL

Problem ekonomicznego rozsyłu energii ELD jest trudny do optymalizacji. Jedną z metod jest zastosowanie algorytmu genetycznego. Niestety algorytm ten jest czasochłonny i nie zawsze gwarantujący optymalne rozwiązanie. W pracy zaproponowano hybrydową metodę złożona z algorytmu genetycznego i algorytmu mrówkowego.

Słowa kluczowe

EN

electrical technology; electrical power engineering; economic load dispatch; genetic algorithm; particle swarm optimization (PSO)

PL

elektrotechnika; elektroenergetyka; ekonomiczny rozsył energii; algorytm genetyczny; algorytm rówkowy

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2011
• Tom: R. 87, nr 10
• Strony: 369--372
• Opis fizyczny: Bibliogr. 15 poz., il., tabl., wykr.

Twórcy

autor

Younes M.

autor

Benhamida F.

• Faculty of Engineering Sciences, Djillali Liabes University of Sidi Bel Abbes, Alegria,

Bibliografia

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