Double-constrained optimization of optical component selection problem using genetic elitism and double string coding

Mohammad Amin Dallaali, Malin Premaratne

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

3 Citations (Scopus)

Abstract

Genetic elitism and double string coding were used for double-constrained optimization of optical component selection problem. Two constrains were applied for the first time where they were combined together using a merging function. The results show the performance of the algorithm regarding the cost optimization and the constraint handling. The results show that the algorithm maintains feasibility of the constraints while it converges to the steady state value.

Original languageEnglish
Title of host publicationProceedings of the 4th International Conference on Numerical Simulation of Optoelectronic Devices, NUSOD '04
EditorsJ. Piprek, S. Li
Pages78-79
Number of pages2
Publication statusPublished - 2004
EventProceedings of the 4th International Conference on Numerical Simulation of Optoelectronic Devices, NUSOD '04 - Santa Barbara, CA, United States of America
Duration: 24 Aug 200426 Aug 2004

Conference

ConferenceProceedings of the 4th International Conference on Numerical Simulation of Optoelectronic Devices, NUSOD '04
Country/TerritoryUnited States of America
CitySanta Barbara, CA
Period24/08/0426/08/04

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