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Agent-based genetic algorithm/Evidence
Method evidence record

Agent-based genetic algorithm

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.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Agent-Based Genetic Algorithm
Taxonomic method record · process-pipeline / simulation
  • 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. · URL
  • Genetic algorithm. Wikipedia. · URL
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Related methods

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Same method familyAgent-Based Modelingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketAgent-based multi-objective optimizationmachine-suggested · Relational suggestion, not evidence.Same method familyGenetic Algorithmmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMulti-objective genetic algorithmmachine-suggested · Relational suggestion, not evidence.Same method familyParticle Swarm Optimizationmachine-suggested · Relational suggestion, not evidence.

Evidence status

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Sources

2 recorded citations, copied from the method source record.

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