𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Design sea state assessment using genetic algorithm approach

✍ Scribed by Jasna Prpić-Oršić; Roko Dejhalla; Anton Turk

Publisher
Elsevier Science
Year
2007
Tongue
English
Weight
235 KB
Volume
34
Category
Article
ISSN
0029-8018

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Predicting rainfall intensity using a ge
Predicting rainfall intensity using a genetic algorithm approach
✍ Halil Karahan; Halim Ceylan; M. Tamer Ayvaz 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 122 KB

## Abstract A genetic algorithm rainfall intensity (GARI) model has been developed and used to predict the intensities for given return period. It is a one‐step solution procedure that may not require any mathematical transformation. The problem formulation is given and the genetic algorithm soluti

Optical design of space retroreflector u
Optical design of space retroreflector using genetic algorithm
✍ Atsushi Minato; Nobuo Sugimoto 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 380 KB

Hollow retroreflectors installed on satellites are used as targets for satellite laser ranging and earth-satellite laser long-path absorption measurements. The optical characteristics of a space retroreflector are determined by several parameters, including mirror curvatures, dihedral angles, and th

Meta-material surface design using the h
Meta-material surface design using the hierarchical genetic algorithm
✍ Yuan Yuan; Chi Hou Chan; Kim Fung Man; Kwai Man Luk 📂 Article 📅 2003 🏛 John Wiley and Sons 🌐 English ⚖ 699 KB

## Abstract In this paper, we design a meta‐material surface emulating a perfect magnetic conducting plane (PMC) using the hierarchical genetic algorithm (HGA). This is achieved by manipulating the unit‐cell geometry of frequency‐selective surface screens and the electrical properties of the suppor

Dual-band antenna design using genetic a
Dual-band antenna design using genetic algorithm-generated topology
✍ Jae Hee Kim; Wee Sang Park 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 551 KB

## Abstract This article represents an antenna topology selection for dual‐band mobile phone using an optimization technique that applies a genetic algorithm (GA) in the early stage of the design. Commercial software (CST MWS) is used to predict the performance of the antenna. Then, the fitness fun