AWhat changed
Modifies tournament-based architecture evolution by deleting the oldest population member, and compares aging evolution with non-aging evolution and reinforcement-learning search under controlled settings.
Scientific scope
Modifies tournament-based architecture evolution by deleting the oldest population member, and compares aging evolution with non-aging evolution and reinforcement-learning search under controlled settings. Aging evolutionary search generated and selected network architectures under researcher-designed experiments and evaluation. Repeated search/training is costly, including hundreds of accelerators in large runs; this is not compute-free discovery or a universal superiority theorem. Architectures use expert-defined cell operations. Real and Aggarwal contribute equally.
Evidence
Aging evolutionary search generated and selected network architectures under researcher-designed experiments and evaluation. WRS has not independently rerun these experiments. Aging evolutionary search generated and selected network architectures under researcher-designed experiments and evaluation. Repeated search/training is costly, including hundreds of accelerators in large runs; this is not compute-free discovery or a universal superiority theorem. Architectures use expert-defined cell operations. Real and Aggarwal contribute equally.
Contributors
- Source-listed authors and technical contributors · SCIENCE: Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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