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Related Experiment Video

Updated: May 10, 2026

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source

Published on: April 4, 2017

Multiobjective optimization in integrated photonics design.

Denis Gagnon¹, Joey Dumont, Louis J Dubé

¹Département de physique, de génie physique et d’optique Faculté des Sciences et de Génie, Université Laval, Québec G1V 0A6, Canada.

|July 2, 2013

Summary

We introduce the parallel tabu search (PTS) algorithm for integrated photonics inverse design. PTS offers comparable or superior solutions to the genetic algorithm (GA) with less computation time and fewer parameters.

Related Experiment Videos

Last Updated: May 10, 2026

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source

Published on: April 4, 2017

Area of Science:

Integrated photonics
Computational electromagnetics
Materials science

Background:

Combinatorial inverse design problems are crucial for developing novel photonic devices.
Traditional optimization algorithms like the genetic algorithm (GA) face challenges in efficiency and parameter tuning.
Efficient algorithms are needed to accelerate the design cycle in integrated photonics.

Purpose of the Study:

To propose and evaluate the parallel tabu search (PTS) algorithm for combinatorial inverse design in integrated photonics.
To compare the performance of PTS against the widely used genetic algorithm (GA).
To demonstrate PTS's capability in handling multiobjective optimization problems.

Main Methods:

Implementation of the parallel tabu search (PTS) algorithm.
Application of PTS to a beam shaping problem using dielectric scatterers in 2D.
Comparative analysis of PTS with the genetic algorithm (GA) based on solution quality, computation time, and parameter requirements.
Case study on coherent beam shaping to assess multiobjective optimization capabilities.

Main Results:

PTS achieves comparable or superior solutions to GA for beam shaping inverse design.
PTS requires significantly less computation time compared to GA.
PTS involves fewer adjustable parameters than GA, simplifying its application.
The algorithm effectively handles multiobjective optimization challenges in coherent beam shaping.

Conclusions:

Parallel tabu search (PTS) is a robust and efficient alternative to GA for integrated photonics inverse design.
PTS offers a promising approach for accelerating the design of complex photonic devices.
The algorithm's efficiency and reduced parameter dependency make it highly suitable for practical applications.