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  2. In computer scienceand operations research, the ant colony optimizationalgorithm(ACO) is a probabilistictechnique for solving computational problems which can be reduced to finding good paths through graphs. Artificial ants stand for multi-agentmethods inspired by the behavior of real ants.

    Ant colony optimization algorithms - Wiki…

    en.wikipedia.org/wiki/Ant_colony_optimization_algo…
    Ant colony optimization (ACO), introduced by Dorigo in his doctoral dissertation, is a class of optimization algorithms modeled on the actions of an ant colony. ACO is a probabilistic technique useful in problems that deal with finding better paths through graphs.

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    What is ACO ant colony optimization?ACO Ant colony optimization (ACO) is a population-based metaheuristic for the solution of difficult combinatorial optimization problems. In ACO, each individual of the population is an artificial agent that builds incrementally and stochastically a solution to the considered problem.

    Ant Colony Optimization | SpringerLink

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    How ant colony optimization algorithm works?Ant Cycle: Pheromone is updated after all ants completed their tour. Let see the pseudocode for applying the ant colony optimization algorithm. An artificial ant is made for finding the optimal solution. In the first step of solving a problem, each ant generates a solution.

    Introduction to Ant colony optimization (ACO) - Towards Data Science

    towardsdatascience.com
    Where did ant colony optimization come from?The origins of ant colony optimization Marco Dorigo and colleagues introduced the first ACO algorithms in the early 1990's , , . The development of these algorithms was inspired by the observation of ant colonies. Ants are social insects.

    Ant colony optimization: Introduction and recent trends

    sciencedirect.com
    What is the ant colony optimization metaheuristic?Provided by the Springer Nature SharedIt content-sharing initiative Policies and ethics The indirect communication and foraging behavior of certain species of ants have inspired a number of optimization algorithms for NP-hard problems. These algorithms are nowadays collectively known as the ant colony optimization (ACO) metaheuristic.

    Ant Colony Optimization: A Component-Wise Overview

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    Ant colony optimization algorithms - Wikipedia

    In the ant colony optimization algorithms, an artificial ant is a simple computational agent that searches for good solutions to a given optimization problem. To apply an ant colony algorithm, the optimization problem needs to be converted into the problem of finding the shortest path on a weighted graph. In … See more

    Summary

    In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems which can be reduced to finding good paths through See more

    Overview

    In the natural world, ants of some species (initially) wander randomly, and upon finding food return to their colony while laying down pheromone trails. If other ants find such a path, … See more

    Convergence

    For some versions of the algorithm, it is possible to prove that it is convergent (i.e., it is able to find the global optimum in finite time). The first … See more

    Definition difficulty

    With an ACO algorithm, the shortest path in a graph, between two points A and B, is built from a combination of several paths. It is not easy to give … See more

    Common extensions

    Here are some of the most popular variations of ACO algorithms.
    Ant system (AS)
    The ant system is … See more

    Applications

    Ant colony optimization algorithms have been applied to many combinatorial optimization problems, ranging from quadratic … See more

    Stigmergy algorithms

    There is in practice a large number of algorithms claiming to be "ant colonies", without always sharing the general framework of … See more

     
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    Introduction to Ant Colony Optimization - GeeksforGeeks

    WEBMay 17, 2020 · Ant Colony Optimization technique is purely inspired from the foraging behaviour of ant colonies, first introduced by Marco Dorigo …

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      Ant Colony Optimization: A Component-Wise Overview

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      Ant colony optimization: Introduction and recent trends
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      Ant Colony Optimization | SpringerLink

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      https://link.springer.com/chapter/10.1007/978-981-33-4305-4_22

      Ant Colony Optimization: A Review of Literature and Application …

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      Publish Year:2021
    • Towards Data Science
      https://towardsdatascience.com/ant-colony...

      Ant Colony Optimization — Intuition, Code & Visualization

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    • Departament de Matemàtiques
      https://mat.uab.cat/~alseda/MasterOpt/ACO_Intro.pdf
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      Ant colony Optimization Algorithms : Introduction and Beyond

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    • ScienceDirect
      https://www.sciencedirect.com/science/article/pii/S1571064505000333

      Ant colony optimization: Introduction and recent trends

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      Christian Blum
      Publish Year:2005
    • Scholarpedia
      http://www.scholarpedia.org/article/Ant_colony_optimization

      Ant colony optimization - Scholarpedia

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      Ant Colony Optimization
      M. Dorigo, M. Birattari, T. Stutzle
      Publish Year:2004
    • mercury.webster.edu
      http://mercury.webster.edu/aleshunas/Support Materials...
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      Ant Colony Optimization - Webster University

    • Wiley Online Library
      https://onlinelibrary.wiley.com/doi/epdf/10.1002/9781119387053.ch7

      Ant Colony Optimization - Meta‐Heuristic and Evolutionary …

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    • Wiley Online Library
      https://onlinelibrary.wiley.com/doi/10.1002/9780470400531.eorms0001

      A Concise Overview of Applications of Ant Colony Optimization

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      ACO Algorithms
      Publish Year:2011
    • MIT Press
      https://direct.mit.edu/books/book/2313/Ant-Colony-Optimization

      Ant Colony Optimization | Books Gateway | MIT Press

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      ACO Algorithms
      Christian Blum
      Publish Year:2009
    • Springer
      https://link.springer.com/chapter/10.1007/978-981-19-2519-1_7

      Ant Colony Optimization Algorithms: Introductory Steps to

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    • ScienceDirect
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      Ant Colony Optimization - an overview | ScienceDirect Topics

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    • Towards Data Science
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      Introduction to Ant colony optimization(ACO) | by Awan-Ur …

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    • IOPscience
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      Ant-colony optimization - Book chapter - IOPscience

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      Ant colony optimization - Wikipedia, the free encyclopedia - Zubiaga

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    • Springer
      https://link.springer.com/chapter/10.1007/978-3-319-91086-4_10

      Ant Colony Optimization: Overview and Recent Advances

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      Ant Colony Optimization Using Python
    • Wikipedia
      https://en.wikipedia.org/wiki/Metaheuristic

      Metaheuristic - Wikipedia

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    • Stack Overflow
      https://stackoverflow.com/questions/444671

      Where can I learn more about "ant colony" optimizations?

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    • Springer
      https://link.springer.com/chapter/10.1007/978-1-4419-1665-5_8

      Ant Colony Optimization: Overview and Recent Advances

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      Ant Colony Optimization
      Marco Dorigo, Thomas Stützle
      Publish Year:2010
    • Wikipedia
      https://en.wikipedia.org/wiki/MIDACO

      MIDACO - Wikipedia