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A modified artificial bee colony algorithm for p-center problems.

The objective of the p-center problem is to locate p-centers on a network such that the maximum of the distances from each node to its nearest center is minimized. The artificial bee colony algorithm is a swarm-based meta-heuristic algorithm that mimics the foraging behavior of honey bee colonies. T...

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Published in:Scientific World Journal pp. 824196 - 824197
Main Authors: Yurtkuran, Alkin, Emel, Erdal, Yurtkuran, Alkın
Format: research Journal Article
Published: Wiley-Blackwell 2014
Online Access:View this record in EBSCOhost
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      jtl: Scientific World Journal
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      dt: 2014
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        10.1155/2014/824196
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        103812869
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        atl: A modified artificial bee colony algorithm for p-center problems.
      aug:
        au:
          Yurtkuran, Alkin
          Emel, Erdal
          Yurtkuran, Alkın
        affil: Department of Industrial Engineering, Uludag University, Görükle Campus, 16059 Bursa, Turkey
      sug:
        subj:
          Algorithms
          Bees and Wasps
          Animal Studies
      ab: The objective of the p-center problem is to locate p-centers on a network such that the maximum of the distances from each node to its nearest center is minimized. The artificial bee colony algorithm is a swarm-based meta-heuristic algorithm that mimics the foraging behavior of honey bee colonies. This study proposes a modified ABC algorithm that benefits from a variety of search strategies to balance exploration and exploitation. Moreover, random key-based coding schemes are used to solve the p-center problem effectively. The proposed algorithm is compared to state-of-the-art techniques using different benchmark problems, and computational results reveal that the proposed approach is very efficient.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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