Process / pipelineSimulation / optimization

Agent-Based Ant Colony Optimization (AB-ACO) – Inteligencija roja za kombinatorne probleme i probleme simulacije

Agent-Based Ant Colony Optimization (AB-ACO) modelira pojedinačne mrave kao autonomne agente koji probabilistički konstruiraju rješenja prateći i ostavljajući tragove feromona na grafu pretraživanja. Spajanjem pravila ponašanja na razini agenata sa zajedničkim okruženjem feromona, kolektivni sustav konvergira prema visokokvalitetnim rješenjima teških kombinatornih problema i problema optimizacije ugrađenih u simulacije, bez centralne koordinacije.

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Izvori

  1. Dorigo, M., Stutzle, T. (2004). Ant Colony Optimization. MIT Press, Cambridge, MA. ISBN: 9780262042192
  2. Bonabeau, E., Dorigo, M., Theraulaz, G. (1999). Swarm Intelligence: From Natural to Artificial Systems. Oxford University Press, New York. ISBN: 9780195131581

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Agent-Based Ant Colony Optimization. ScholarGate. https://scholargate.app/hr/simulation/agent-based-ant-colony-optimization

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ScholarGateAgent-based ant colony optimization (Agent-Based Ant Colony Optimization). Preuzeto 2026-06-15 s https://scholargate.app/hr/simulation/agent-based-ant-colony-optimization · Skup podataka: https://doi.org/10.5281/zenodo.20539026