2005
DOI: 10.1590/s0101-74382005000300001
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Gerando orientações acíclicas com algoritmos probabilísticos distribuídos

Abstract: ResumoEste artigo apresenta um novo algoritmo distribuído probabilístico para a geração de orientações acíclicas em um sistema distribuído anônimo de topologia arbitrária. O algoritmo é analisado tanto em termos de correção e complexidade esperada quanto velocidade de convergência. Em particular, é demonstrado que este novo algoritmo, chamado Alg-Arestas, é capaz de produzir, com alta probabilidade, orientações acíclicas quase instantaneamente, isto é, em menos de dois passos. Duas aplicações para essa forma d… Show more

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“…Basically, they were both constructed through the ideas presented in Calabrese and França [14], in Arantes Jr. and França [4,5], in Arantes Jr., França and Martinhon [3], and in Arantes Jr. [2]. The Calabrese/França algorithms (both in the unbiased and biased versions) are described in the sequel and come before the presentation of the Alg-Neighbors and Alg-Edges procedures.…”
Section: Randomized and Distributed Generation Of Acyclic Orientationsmentioning
confidence: 99%
“…Basically, they were both constructed through the ideas presented in Calabrese and França [14], in Arantes Jr. and França [4,5], in Arantes Jr., França and Martinhon [3], and in Arantes Jr. [2]. The Calabrese/França algorithms (both in the unbiased and biased versions) are described in the sequel and come before the presentation of the Alg-Neighbors and Alg-Edges procedures.…”
Section: Randomized and Distributed Generation Of Acyclic Orientationsmentioning
confidence: 99%
“…Currently, the use of hyperheuristics in the processes of production scheduling and programming in Job Shop environments has not been widely spread [4]. However, there are some hyperheuristics based on methodologies such as heuristics [5], algorithms [6][7][8][9][10], genetic algorithms [11][12][13][14], intelligent particles [15][16][17][18][19], ant colonies [20], immune systems [21], and others [22][23][24][25][26][27][28].…”
Section: Introductionmentioning
confidence: 99%