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Improving ant systems using a local updating rule

An algorithm based on ant colony system for solving traveling salesman problem is proposed. The new algorithm, introduces in ant colony system an inner loop aiming to update the pheromone trails. The update increases the pheromone in the trail followed by the ants and therefore generates improved to...

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Main Authors: Pintea, C.-M., Dumitrescu, D.
Format: Conference Proceeding
Language:English
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creator Pintea, C.-M.
Dumitrescu, D.
description An algorithm based on ant colony system for solving traveling salesman problem is proposed. The new algorithm, introduces in ant colony system an inner loop aiming to update the pheromone trails. The update increases the pheromone in the trail followed by the ants and therefore generates improved tours.
doi_str_mv 10.1109/SYNASC.2005.38
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identifier ISBN: 0769524532
ispartof Seventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'05), 2005, p.4 pp.
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Ant colony optimization
Chemicals
Educational institutions
Feedback
NP-hard problem
Partitioning algorithms
Routing
Scheduling algorithm
Traveling salesman problems
Vehicles
title Improving ant systems using a local updating rule
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