Technical Note: Iterative Value-Centric Perturbation (IVCP) Route Optimizer Algorithm

The Iterative Value-Centric Perturbation (IVCP) algorithm is a high-performance routing engine designed to provide near-optimal solutions to the Traveling Salesperson Problem (TSP) under priority-based operational constraints. Rather than seeking a singular global optimum through exhaustive computation, IVCP utilizes node values to establish a prioritized origin before applying a deterministic 2-Opt refinement process. This approach is specifically engineered to resolve geometric path inefficiencies in real-time, delivering commercially significant reductions in Euclidean distance for dynamic logistics environments.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-16
DOI
https://doi.org/10.5281/zenodo.20219628
Primary Topic
Vehicle Routing Optimization Methods
Type
article
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article

Technical Note: Iterative Value-Centric Perturbation (IVCP) Route Optimizer Algorithm

Jonathan ƒ(n) Reed
Zenodo (CERN European Organization for Nuclear Research)
Vehicle Routing Optimization Methods
article

Technical Note: Iterative Value-Centric Perturbation (IVCP) Route Optimizer Algorithm

Jonathan ƒ(n) Reed
article en

Abstract

The Iterative Value-Centric Perturbation (IVCP) algorithm is a high-performance routing engine designed to provide near-optimal solutions to the Traveling Salesperson Problem (TSP) under priority-based operational constraints. Rather than seeking a singular global optimum through exhaustive computation, IVCP utilizes node values to establish a prioritized origin before applying a deterministic 2-Opt refinement process. This approach is specifically engineered to resolve geometric path inefficiencies in real-time, delivering commercially significant reductions in Euclidean distance for dynamic logistics environments.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 4%
Vehicle Routing Optimization Methods
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