Active Inference · Paper · 2024

Enhancing Population-based Search with Active Inference

Nassim Dehouche, Daniel Friedman

ArXiv

Catalog Row34
Citation KeyFriedman2024EnhancingPopulationBasedSearch034
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Overview

Extracted from the local paper documentation when available.

We propose integrating Active Inference into population-based metaheuristics to enhance performance through anticipatory environmental adaptation. Demonstrated with Ant Colony Optimization (ACO) on the Travelling Salesman Problem (TSP), experimental results indicate Active Inference yields improved solutions with marginal increase in computational cost, with performance patterns relating to graph...

population searchActive InferenceAnt Colony OptimizationTSPmetaheuristicsanticipatory adaptationcomputational optimization

Use Notes

Concise findings and methods pulled from README/SKILL documentation.

Findings / Concepts
  • We propose integrating Active Inference into population-based metaheuristics to enhance performance through anticipatory environmental adaptation..
  • Demonstrated with Ant Colony Optimization (ACO) on th....
Methods / Techniques
  • Free energy minimization
  • Bayesian modeling and inference

Citation

Plain-text citation for quick reuse.

Friedman, Daniel Ari. 2024. Enhancing Population-based Search with Active Inference. ArXiv. DOI: 10.48550/arXiv.2408.09548. URL: https://doi.org/10.48550/arXiv.2408.09548.

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