Journals / Mathematical and Computational Applications / 2003 / Cilt: 8 - Sayı: 1

Simulation of swarm intelligence and possible applications in engineering

Pages
361–368
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In this paper, principles of SI systems, original simulations of some SI techniques, and new approaches are presented.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Modeling biological and natural systems in order to solve complex problems have become popular.
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Key Findings & Data:Traditional techniques fail at solving some types of problems.
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Conclusion & Impact:In this paper, principles of SI systems, original simulations of some SI techniques, and new approaches are presented.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Modeling biological and natural systems in order to solve complex problems have become popular. Traditional techniques fail at solving some types of problems. On the other hand, it is seen that these kind of problems are solved in nature without help of human. Swarm intelligence(SI) as a research field, proposes such solutions. SI models the collective behavior of the social insects like ants, bees or termites and their coordination without communication. The emerged intelligence has some special characteristics and it can be applied to some areas. Some of the application fields are robotics, networking, finance and entertainment. In this paper, principles of SI systems, original simulations of some SI techniques, and new approaches are presented.

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Cite This Article

ÖZTÜRK, S., ESİN, E. M. (2003). Simulation of swarm intelligence and possible applications in engineering. Mathematical and Computational Applications, Cilt: 8 - Sayı: 1, 361–368. https://ajindex.com/articles/280460

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References (2)

  1. Menkov,V., Neu,DJ., Shi„Q., "AntWorld: A Collaborative Web Search Tool", Workshop on Distributed Communities on the Web(DCW 2000),
  2. Quebec City, Canada, June 2000 [2] Dorigo,M., Cambardella,L.M., "Ant Colony System:A Cooperative Learning Approach to, The Travelling Salesman Problem", IEEE Transactions on Evolutionary Computation, Vol.1, No.I, 1997 [3] Bonabeau,E., Theraulaz,G., "Swarm Smarts", Scientific American, March 2000 [4] Bonabeau,E., Dorigo,M., Theraulaz,G., "Swarm Intelligence: From Natural to Artificial Systems",Oxford University Press, 1999