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Theoretical computer science / Mathematics / Applied mathematics / Ant / Agricultural pest insects / Travelling salesman problem / Stigmergy / IDSIA / Pheromone / Ant colony optimization algorithms / Stochastic optimization / Operations research


Ant Algorithms for Discrete Optimization∗ Marco Dorigo and Gianni Di Caro
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Document Date: 2000-09-27 03:10:44


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Lugano / Middendorf / /

Company

MIT Press / Hertz / /

Country

Switzerland / /

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Facility

While building / Pheromone trail / /

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search process / population-based optimization algorithms / ant algorithm / ant search process / optimization algorithm / multi-agent systems / feasible solution / food source / cost solutions / stochastic local search policy / chemical substance / ant algorithms / ant-based algorithms / telecommunications networks / good quality solutions / build solutions / richer food sources / online step-by-step pheromone update / communications networks / transportation networks / online delayed pheromone update components / Recent applications / food sources / transportation routing problem / search space / evolutionary computation algorithms / food reservoir / software systems / feasible solutions / online step-by-step / food / different solutions / /

Organization

MIT / /

Person

Marco Dorigo / Luca M. Gambardella / /

Position

Algorithm name Traveling salesman / salesman / stigmergetic model of communication / /

Technology

Ant Algorithms / ACO algorithms / meta-heuristic In ACO algorithms / ACO algorithm / JSP / population-based optimization algorithms / ant-based algorithms / 1 Introduction Ant algorithms / evolutionary computation algorithms / ant algorithm / implemented ACO algorithms / term ACO algorithm / optimization algorithm / listed algorithms / pheromones / /

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