• Publications
  • Influence
Ant colonies for the travelling salesman problem.
We describe an artificial ant colony capable of solving the travelling salesman problem (TSP). Expand
  • 1,689
  • 90
  • PDF
Ant colony optimization
  • M. Dorigo
  • Computer Science, Biology
  • Scholarpedia
  • 2004
  • 540
  • 52
ARGoS: a modular, parallel, multi-engine simulator for multi-robot systems
We present a novel multi-robot simulator that is at the same time both efficient (fast performance with many robots) and flexible (highly customizable). Expand
  • 336
  • 40
  • PDF
Ant colonies for the quadratic assignment problem
We present HAS–QAP, a hybrid ant colony system coupled with a local search, applied to the quadratic assignment problem. Expand
  • 694
  • 37
  • PDF
Ant colony optimization: a new meta-heuristic
We introduce the Ant Colony Optimization (ACO) meta-heuristic, a meta- heuristic inspired by the foraging behavior of ant colonies, which can be used to solve discrete optimization problems. Expand
  • 1,198
  • 34
  • PDF
Adaptive Control Processes
This is a kind of book that you need now. Expand
  • 348
  • 24
A Comparison of the Performance of Different Metaheuristics on the Timetabling Problem
The main goal of this paper is to attempt an unbiased comparison of the performance of straightforward implementations of five different metaheuristics on a university course timetabling problem. Expand
  • 197
  • 22
  • PDF
ACO algorithms for the quadratic assignment problem
  • 305
  • 21
Robot Shaping: An Experiment in Behavior Engineering
From the Publisher: foreword by Lashon Booker "[This] book gives a clear and comprehensive exposition of [the authors] extensive experience in integrating reinforcement learning and autonomousExpand
  • 242
  • 12
Two Ant Colony Algorithms for Best-Effort Routing in Datagram Networks
In this paper we present two versions of AntNet, a novel approach to adaptive learning of routing tables in wide area best-effort datagram networks. Expand
  • 172
  • 11
  • PDF