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SWARM INTELLIGENCE AND ANT COLONY APPROACH- CAN THEY BE APPLIED IN OPTIMIZING CONSTRUCTION PROCESSES?
BibTeX
@MISC{Gehbauer_swarmintelligence,
author = {Fritz Gehbauer and Patricia Stock and Peter Steffek},
title = {SWARM INTELLIGENCE AND ANT COLONY APPROACH- CAN THEY BE APPLIED IN OPTIMIZING CONSTRUCTION PROCESSES?},
year = {}
}
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Abstract
A swarm can be described as a group of individuals using direct and indirect communication to act without central command with high efficiency in problem solving. For example, the insect society as a whole is extremely efficient due to a sophisticated form of self-organization is based on an indirect communication between its members. This communication is both between the members and their environment. For example the ant behaviour leads to repeatedly finding near optimum strategies in food supply, logistics and formicary construction. Studies of this behaviour have led to the first usable algorithms in the solution of logistical problems, in evolutionary programming and in manufacturing planning and control. A few examples will be presented. This paper will further study the differences between construction intelligence and swarm intelligence and discuss the possibilities to adapt this evolution to systems and problems of construction processes. First considerations have shown that the principles of the existing ant algorithms and simulation tools of manufacturing can be used in construction as well. In case of disturbances fast reorganization of processes can be developed using the algorithm.
Keyphrases
indirect communication sophisticated form first usable algorithm logistical problem ant behaviour formicary construction simulation tool swarm intelligence evolutionary programming food supply central command high efficiency optimum strategy ant algorithm problem solving first consideration construction process disturbance fast reorganization insect society construction intelligence
