Dataset for: Procedure-Based Automation and Agent-Based Simulation for Hospital Functional

Alain Chahoud published this dataset on figshare in 2026. It contains optimisation output and agent-based simulation results supporting a manuscript on hospital layout optimisation. The dataset includes Pareto front solutions from three NSGA-II random seeds and GAMA simulation outputs for three selected ward layouts.

Use Cases

• Compare Pareto front solutions based on five fitness objectives from three different random seeds.
• Analyze agent-based simulation performance for different ward layouts based on population tables and performance graphs.
• Study genetic algorithm convergence patterns based on mean value trendlines and parallel coordinate plots.

Strengths

• Includes 100 Pareto front solutions for each of three distinct random seeds.
• Contains agent-based simulation output data for three specifically selected ward layouts for comparison.
• Released under the CC-BY-4.0 license, permitting reuse with attribution.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect methodological bias inherent to the specific optimisation and simulation models used.

Provenance

Source

figshare

Collection Method

Generated as optimisation output and simulation results for an academic manuscript.

Time Range

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Freshness

Last updated 2026-05-06 17:38:47; freshness should be verified.

Geography

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