Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > IODC > 1998 > LMC > LMC.2

Global and Multi-objective Optimization for Lens Design by Real-coded Genetic Algorithms

Isao Ono, Shigenobu Kobayashi, and Koji Yoshida

Not Accessible

Your library or personal account may give you access

Abstract

Local search methods have been traditionally used in lens design. They have a serious problem that the quality of lenses found by them heavily depends on starting points. Recently, several global optimization methods for lens design have been proposed(1-5),(8). Of these studies, Betensky(1) and Chen, et al.(2) have proposed methods based on bit-string genetic algorithms and the DLS method. However, all conventional local and global methods for lens design do not explicitly handle plural criteria. Therefore, a lens designer must usually find an appropriate starting point and a proper tradeoff-ratio among plural criteria by trail and error.

© 1998 Optical Society of America

PDF Article
More Like This
Multi-objective evolutionary optimization in lens design

Shaine Joseph and Vasudevan Lakshminarayanan
FWH2 Frontiers in Optics (FiO) 2004

Future of Global Optimization in Lens Design

Doron Sturlesi and D. C. O’Shea
LMC1 International Lens Design (IODC) 1990

A genetic algorithm for the optimization of optical detection systems design

Patricia Vazquez, Ligia Ciocci Brazzano, Francisco Veiras, and Patricio Sorichetti
JTu4A.12 Frontiers in Optics (FiO) 2022

View More...
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use