Wyniki wyszukiwania dla: LEADER ELECTION

• Topology recognition and leader election in colored networks

  Publikacja

  • D. Dereniowski
  • A. Pelc

  - THEORETICAL COMPUTER SCIENCE - Rok 2016

  Topology recognition and leader election are fundamental tasks in distributed computing in networks. The first of them requires each node to find a labeled isomorphic copy of the network, while the result of the second one consists in a single node adopting the label 1 (leader), with all other nodes adopting the label 0 and learning a path to the leader. We consider both these problems in networks whose nodes are equipped with...

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• Leader election for anonymous asynchronous agents in arbitrary networks

  Publikacja

  • D. Dereniowski
  • A. Pelc

  - DISTRIBUTED COMPUTING - Rok 2014

  We consider the problem of leader election among mobile agents operating in an arbitrary network modeled as an undirected graph. Nodes of the network are unlabeled and all agents are identical. Hence the only way to elect a leader among agents is by exploiting asymmetries in their initial positions in the graph. Agents do not know the graph or their positions in it, hence they must gain this knowledge by navigating in the graph...

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• Gender approach to multi-objective optimization of detection systems by pre-selection of criteria

  Publikacja

  • Z. Kowalczuk
  • T. Białaszewski

  - Rok 2013

  A novel idea of performing evolutionary computations for solving highly-dimensional multi-objective optimization (MOO) problems is proposed. The information about individual genders is applied. This information is drawn out of the fitness of individuals and applied during the parental crossover in the evolutionary multi-objective optimization (EMO) processes. The paper introduces the principles of the genetic-gender approach (GGA)...

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• Gender approach to multi-objective optimization of detection systems by pre-selection of criteria

  Publikacja

  • Z. Kowalczuk
  • T. Białaszewski

  - Rok 2014

  A novel idea of performing evolutionary computations for solving highly-dimensional multi-objective optimization (MOO) problems is proposed. The information about individual genders is applied. This information is drawn out of the fitness of individuals and applied during the parental crossover in the evolutionary multi-objective optimization (EMO) processes. The paper introduces the principles of the genetic-gender approach (GGA)...

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• Gender approach to multi-objective optimization of detection systems by pre-selection of criteria

  Publikacja

  • Z. Kowalczuk
  • T. Białaszewski

  - Advances in Intelligent Systems and Computing - Rok 2014

  A novel idea of performing evolutionary computations for solving highly-dimensional multi-objective optimization (MOO) problems is proposed. The information about individual genders is applied. This information is drawn out of the fitness of individuals and applied during the parental crossover in the evolutionary multi-objective optimization (EMO) processes. The paper introduces the principles of the genetic-gender approach (GGA)...

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• Paweł Możejko dr hab.

  Osoby

  Instytut Fizyki i Informatyki Stosowanej, Zakład Fizyki Zderzeń Elektronowych

• JOURNAL OF CLEANER PRODUCTION

  Czasopisma

  ISSN: 0959-6526 , eISSN: 1879-1786

• POLFEL - Free Electron Laser in Poland

  Publikacja

  • R. Romaniuk
  • R. S. Romaniuk

  - Photonics Letters of Poland - Rok 2009

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• Free electron laser infrastructure in Europe 2012

  Publikacja

  • R. Romaniuk
  • R. S. Romaniuk

  - Rok 2013

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• Nurse Leader

  Czasopisma

  ISSN: 1541-4612 , eISSN: 1541-4620