The ant colony optimization algorithm (ACO), introduced by Marco Dorigo in 1992 in his PhD thesis, is a probabilistic technique for solving computational problems which can be ...

A Java applet demonstrating Ant Colony Optimisation, a new natural algorithm for optimisation and search

Ant Colony Optimisation ACO is applied to the problem of routing and wavelength allocation in a multi wavelength all optical virtual wavelength path routed transport network.

The Bin Packing and Cutting Stock Problems are wellknown NP hard combinatorial optimisation problems with many applications. A number of evolutionary computation techniques have ...

I am currrently working on a project to solve an 'advanced' TSP problem using ACO. I have been unable to find any source code as yet for an implementation of ACO using Java.

Document details from CiteSeerX (Isaac Councill, Lee Giles): Abstract ? An attempt is made to apply Ant Colony Optimization (ACO) heuristics to an E-learning problem: the ...

Document details from CiteSeerX (Isaac Councill, Lee Giles): Abstract. In this paper we consider the application of an Ant Colony Optimisation (ACO) metaheuristic on the Set ...

Ant Colony Optimisation - A genetic algorithm deriving from ant pheromone distribution trails to route network traffic efficiantly.; Author: Lawrence Botley; Section:

Optimization methodology based on ant behaviors. The first ACO system was introduced by Marco Dorigo in 1992. ACO was applied to the travelling salesman problem, and to the ...

ACTA Press publishes numerous proceeding volumes for international conferences in the general areas of engineering and computer science.

ACTA Press publishes numerous proceeding volumes for international conferences in the general areas of engineering and computer science.

An attempt is made to apply Ant Colony Optimization (ACO) heuristics to an E-learning problem: the pedagogic material of an online teaching website for high school students is ...

Geospatial Analysis - a comprehensive guide. 2nd edition © 2006-2008 de Smith, Goodchild, Longley: Ant systems and ant colony optimisation (ACO)

Abstract: This literature survey focuses on the ant colony metahueristic for solving combinatorial optimisation problems. It will research different approaches to the topic and ...

This work was initiated when Paraschool, the French leading e-learning company contacted the INRIA research center to conceive an automatic algorithm that would allow the ...

Increasing the efficiency of meander line antennas is an important real-world problem within radio frequency identification (RFID). Meta-heuristic search algorithms, such as ant ...

Ant Colony Optimisation for Large-Scale Water Distribution Network Optimisation Laura Baker 1, Ed Keedwell 1, Mark Randall-Smith 2 Abstract. In this paper we show that ant colony ...

The Bin Packing Problem and the Cutting Stock Problem are two related classes of NP-hard combinatorial optimization problems. Exact solution methods can only be used for very small ...

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Research article An ant colony optimisation algorithm for the 2D and 3D hydrophobic polar protein folding problem

Research article An ant colony optimisation algorithm for the 2D and 3D hydrophobic polar protein folding problem

Ant Colony Optimisation (ACO) is a relatively new nature-inspired meta-heuristic for solving combinatorial optimisation problems.

application of ant colony optimisation algorithm on the recursive propagation model for urban microcells application of ant colony optimisation algorithm**on the recursive ...

Solution biases and pheromone representation selection in ant colony optimisation. James Montgomery, PhD (Awarded in 2005) Bond University, School of Information Technology

Chapter 16 A Dynamic Optimisation Approach for Ant Colony Optimisation Using the Multidimensional Knapsack Problem ...

SWORDS 2004 . Ant Colony Optimisation . Dr Jonathan Thompson, School of Mathematics, Cardiff University

Ant Colony Optimisation for Continuous Domains with Aggregation Pheromones Metaphor Shigeyoshi Tsutsui Department of Management Information Sciences, Hannan University 5-4-33 ...

An attempt is made to apply Ant Colony Optimization ACO heuristics to an E learning problem the pedagogic material of an online teaching website for high school students is ...

Learning Bayesian Networks using Ant Colony Optimisation . Ioanna Stamatopoulou . MSc dissertation presentation. 19 November 2003