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A Hybrid Ant-Bee Colony Optimization for Solving Traveling Salesman Problem with Competitive Agents

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Mobile, Ubiquitous, and Intelligent Computing

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 274))

Abstract

This paper presents a new method called hybrid ant bee colony optimization (HABCO) for solving traveling salesman problem which combines ant colony system (ACS), bee colony optimization (BCO) and ELU-Ants. The agents, called ant-bees, are grouped into three types, scout, follower, recruiter at each stages as BCO algorithm. However, constructing tours such as choosing nodes, and updating pheromone are built by ACS method. To evaluate the performance of the proposed algorithm, HABCO is performed on several benchmark datasets and compared to ACS and BCO. The experimental results show that HABCO achieves the better solution, either with or without 2opt.

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Author information

Authors and Affiliations

  1. Inst. of Computer and Communication Engineering, Dept. of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan ROC

    Abba Suganda Girsang & Chu-Sing Yang

  2. Department of Information Technology, Chia Nan University of Pharmacy Science, Tainan, Taiwan, ROC

    Chun-Wei Tsai

Authors
  1. Abba Suganda Girsang
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  2. Chun-Wei Tsai
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  3. Chu-Sing Yang
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Corresponding author

Correspondence to Abba Suganda Girsang .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Seoul University of Science & and Technology (SeoulTech), Seoul, Korea, Republic of (South Korea)

    James J. (Jong Hyuk) Park

  2. Biomedical Informatics Neuroscience, Ohio State University Center for Biomedical Engineering, Columbus, Ohio, USA

    Hojjat Adeli

  3. Dept of Computer Education, Jeju National University Teachers College, Jeju Special Self-Governing Province, Korea, Republic of (South Korea)

    Namje Park

  4. Ryerson University Dept. Computer Science, Toronto, Ontario, Canada

    Isaac Woungang

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Girsang, A.S., Tsai, CW., Yang, CS. (2014). A Hybrid Ant-Bee Colony Optimization for Solving Traveling Salesman Problem with Competitive Agents. In: Park, J., Adeli, H., Park, N., Woungang, I. (eds) Mobile, Ubiquitous, and Intelligent Computing. Lecture Notes in Electrical Engineering, vol 274. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40675-1_95

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  • DOI: https://doi.org/10.1007/978-3-642-40675-1_95

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40674-4

  • Online ISBN: 978-3-642-40675-1

  • eBook Packages: EngineeringEngineering (R0)

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