Process / pipelineSimulation / optimization

Agent-Based Genetic Algorithm — Distributed Evolutionary Search via Autonomous Agents

An Agent-Based Genetic Algorithm (ABGA) partitions a genetic algorithm's population across a network of autonomous agents, each maintaining a local sub-population and evolving it independently. Agents periodically exchange individuals (migration) based on proximity or communication rules, enabling parallel exploration of the search space while preserving population diversity and avoiding premature convergence.

MethodMind'de açSoonVideoSoon

Tam yöntemi oku

Members only

Sign in with a free account to read this section.

Sign in

Sources

  1. Adamidis, P., & Petridis, V. (1996). Co-operating populations with different evolution behaviors. Proceedings of the IEEE International Conference on Evolutionary Computation (ICEC 1996), 188-191. IEEE. link
  2. Genetic algorithm. Wikipedia. link

Related methods

Referenced by

ScholarGateAgent-based genetic algorithm (Agent-Based Genetic Algorithm). Retrieved 2026-06-04 from https://scholargate.app/tr/simulation/agent-based-genetic-algorithm