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Updated: May 5, 2026

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source

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Shapley-guided global optimization algorithm with applications in integrated photonics inverse design.

Mohamed Sadek Radwan, Sean Hooten, Thomas Van Vaerenbergh

|August 13, 2025

Summary

This summary is machine-generated.

A new Shapley-Guided Stochastic Optimization (SGSO) algorithm uses Shapley values for efficient global optimization. It successfully designed photonic structures, outperforming existing methods and offering a computationally cheaper alternative.

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Area of Science:

Computational physics
Materials science
Optimization algorithms

Background:

Global optimization is crucial for complex design problems.
Existing metaheuristic techniques can be computationally intensive.
Inverse design requires efficient search strategies.

Purpose of the Study:

Introduce the Shapley-Guided Stochastic Optimization (SGSO) algorithm.
Validate SGSO's efficiency on benchmark functions and real-world photonic structure design.
Propose a simplified Shapley value computation to reduce cost.

Main Methods:

Developed the Shapley-Guided Stochastic Optimization (SGSO) algorithm.
Tested SGSO on Easom and Ackley benchmark functions.
Applied SGSO to the inverse design of a 3dB splitter, grating coupler, and multilayer broadband mirror.
Benchmarked SGSO against Basin Hopping and analyzed connections to Genetic Algorithms.

Main Results:

SGSO effectively steered the search towards optimal solutions for photonic structures.
The algorithm demonstrated high performance and computational efficiency.
A simplified Shapley value computation method achieved satisfactory convergence with lower cost.
SGSO showed potential in navigating complex optimization landscapes, comparable to established methods.

Conclusions:

SGSO is a capable optimization algorithm for complex inverse design problems.
The simplified Shapley value computation enhances SGSO's practical applicability.
SGSO offers a promising alternative to existing metaheuristic optimization techniques for photonic device design.