DispatchAtlasPlatform penjadwalan dan optimasi
Benchmark atlases and solver evidence for scheduling and optimization
Build benchmark suites for scheduling and optimization problems — from classic combinatorial families to the IoE / Edge–Fog–Cloud continuum — run solver campaigns with recorded seeds and stop rules, and turn every run into figures, tables, and a browsable public portal.
Benchmark atlas
Curated, citation-backed scheduling instances spanning classic combinatorial families and the Edge–Fog–Cloud continuum.
Solver evidence
A capability-typed solver registry with declared metadata — comparisons describe capability, performance comes from statistical exports.
Reproducible campaigns
Recorded seeds, stop rules, retries, checkpoints, and environment capture turn every run into auditable evidence.
Public inspection portal
Redaction-checked datasets, browsable catalogs, and runnable demos — every public claim traces to an evidence bundle.
See the evidence
What sets it apart
DispatchAtlas occupies the gap between three tool families: continuous black-box suites benchmark functions, not scheduling permutations; metaheuristic frameworks ship algorithms and synthetic problems, not a curated scheduling-instance atlas; and fog–edge simulators model networks as discrete-event simulations, not optimization benchmark suites. DispatchAtlas ships a curated, citation-backed catalog of scheduling and edge–fog–cloud instances, a capability-typed solver registry, built-in statistical comparison, and a public portal — in one toolkit.
Explore it now
Run a solver live in your browser, browse the benchmark catalog, or get the toolkit running locally in three commands.