Creator:

Balicki, Jerzy ; Stateczny, Andrzej ; Żak, Bogdan

Contributor:

Korbicz, Józef (1951- ) - red. ; Uciński, Dariusz - red.

Title:

Genetic algorithms and Hopfield neural networks for solving combinatorial problems

Group publication title:

AMCS, volume 7 (1997)

Subject and Keywords:

sterowanie ; sterowanie-teoria ; sztuczna inteligencja ; matematyka stosowana ; informatyka

Abstract:

In this paper, a Hopfield neural-network population for solving NP-hard multiobjective optimization problems with zero-one decision variables is proposed. The initial states of the Hopfield models in this population are modified by a genetic algorithm and the energy functions are constructed by using a non-negative convex combination method. Accordingly, optimization neural networks for the related optimization problem are designed. Simulation results are also presented to illustrate the effectiveness of the approach.

Publisher:

Zielona Góra: Uniwersytet Zielonogórski

Date:

1997

Resource Type:

artykuł

Pages:

567-592

Source:

AMCS, volume 7, number 3 (1997) ; click here to follow the link

Language:

eng

Rights:

Biblioteka Uniwersytetu Zielonogórskiego