Public Research & Benchmark Portfolio

Geo Strategy Logistic (GSL) Solver

Deterministic Vehicle Routing Optimization Framework

The same input should always produce the same output. No stochastic search, no random seeds, no instance-specific tuning โ€” every result below is publicly reproducible.

Developed by CTSuwan (Chonmapoohm Thamsuwan)
๐ŸŒ gsl-solver.com
๐Ÿ™ github.com/CT1-deMo-goG
๐Ÿ’ผ linkedin.com/in/ctsuwan
๐ŸŽฏ The same input should always produce the same output.
๐ŸŽฒNo stochastic search
๐ŸŒฑNo random seeds
๐ŸŽ›๏ธNo instance-specific parameter tuning
๐ŸšซNo non-deterministic components
Important Milestone

First Public Benchmark Portfolio Completed

"The first public benchmark portfolio of Geo Strategy Logistic (GSL) Solver covering four major vehicle routing problem classes."

Public Benchmark Portfolio

10,807 benchmark instances evaluated across four major VRP problem classes.

1

Capacitated Vehicle Routing Problem (CVRP)

  • Augerat benchmark families
  • Christofides benchmark
  • Fisher, Golden, Taillard, Li benchmarks
  • Set X / Set XL hyper-scale benchmark
10,368
Instances Evaluated
10,001
Max Customer Nodes
2

VRP with Time Windows (VRPTW)

  • Solomon benchmark
  • Homberger benchmark
356
Instances Evaluated
100โ€“1,000
Customer Scale
3

Multi-Depot VRP (MDVRP)

  • Cordeau p-series
  • Cordeau pr-series
34
Instances Evaluated
10,000
Stress-Test Customers
4

Multi-Depot VRP + Time Windows (MDVRPTW)

  • Cordeau MDVRPTW benchmark
  • Vidal large-scale benchmark
  • Real commercial routing validation
49
Instances Evaluated
31.4%
Commercial Distance Reduction
10,368
CVRP
356
VRPTW
34
MDVRP
49
MDVRPTW
10,807
Total Instances

Why This Milestone Matters

Rather than optimizing each routing variant independently, GSL Solver is a unified deterministic optimization architecture capable of solving multiple routing problem classes while remaining reproducible, verifiable, and deployable on ordinary hardware.

Every benchmark and validation presented in this portfolio was developed and executed using Python on an Android smartphone via Pydroid 3 โ€” a 100% mobile-first engineering workflow.

This benchmark portfolio establishes the first public technical foundation of GSL Solver and provides a basis for future routing modules and commercial deployment.

Reproducible Evidence

Every benchmark instance, execution log, and validation result referenced above is publicly available. The index below links to the complete GSL repository network.

๐Ÿ“‚ GSL Research Index (start here)
Central index linking to every benchmark repository below, plus the milestone report.
โ†’
gsl-routing-engine
Core engine + Set A / Set B / XML benchmark results (excluding Set X, XL)
โ†’
GSL-CVRP-SetX
CVRP Set X large-scale benchmark results
โ†’
GSL-CVRP-SETXL
CVRP Set XL hyper-scale benchmark (up to 10,001 nodes)
โ†’
GSL-VRPTW-Portfolio
Solomon & Homberger VRPTW benchmark results
โ†’
gsl-mdvrp-engine
Cordeau p-series / pr-series MDVRP benchmark results
โ†’
gsl-mdvrptw-engine
MDVRPTW benchmark + Bosnia & Herzegovina commercial validation
โ†’

Open to Research Collaboration

GSL Solver is available for technical benchmarking, applied optimization research, and enterprise deployment discussions.

Contact for Research Inquiries Back to GSL Solver