OTIMIZAÇÃO COM ALGORITMO BIO-INSPIRADO DE CONTROLE DE TRÁFEGO EM SISTEMAS DE GRUPOS DE ELEVADORES

Authors

  • Juan P. Diago R.
  • Guilherme C. de Carvalho
  • Daniel M. Muñoz A

DOI:

https://doi.org/10.26512/ripe.v2i9.15034

Abstract

Resumo. Este artigo tem como objetivo apresentar a implementação de uma técnica de otimização bioinspirada como solução ao problema de controle de tráfego em sistemas de grupos de elevadores (EGCS). A técnica de controle usada é o algoritmo de otimização por inteligência de enxame (PSO - swarm optimization particle) de tipo binário. A ideia é que o algoritmo escolha o melhor elevador para um usuário que faz uma chamada de serviço em um
sistema de controle destino (DCS ”“ destination control system). Para a escolha do elevador o algoritmo tem uma função custo que considera as variáveis: (1) tempo de espera; (2) tempo de voo; (3) capacidade do elevador; (4) número de paradas alocadas; (5) número de paradas (baseado nas chamadas que são asignadas) para cada elevador. Estes parâmetros são ponderados de acordo com sua importância e inferência na seleção do melhor elevador. Assim, o sistema seleciona de todas as possíveis soluções encontradas a solução que apresente
o melhor valor de aptidão (a solução representa o elevador ou os elevadores selecionado para atender a atual chamada).

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Published

2017-01-25

How to Cite

R., J. P. D., de Carvalho, G. C., & Muñoz A, D. M. (2017). OTIMIZAÇÃO COM ALGORITMO BIO-INSPIRADO DE CONTROLE DE TRÁFEGO EM SISTEMAS DE GRUPOS DE ELEVADORES. Revista Interdisciplinar De Pesquisa Em Engenharia, 2(9), 56–76. https://doi.org/10.26512/ripe.v2i9.15034

Issue

Vol. 2 No. 9 (2016): COMPUTATIONAL INTELLIGENCE TECHNIQUES FOR OPTMIZATION AND DATA MODELING (I)

Section

Artigos

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