Generate Leaf Shapes using L-system and Genetic Algorithms

نویسندگان

  • Yodthong Rodkaew
  • Suchada Siripant
  • Chidchanok Lursinsap
  • Prabhas Chongstitvatana
چکیده

In this paper presents a method that combines with techniques L-system and Genetic Algorithms (GA) to search for a rewriting expression describing leaf shapes. L-system is used to construct a shape of leaf of a given rewriting expression, and GA is used to search an unknown rewriting expression's fitting parameters. Replacement of real value parameters to tag-function is introduced. The result shows both L-system and GA work together and produce an acceptable output.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Modeling Leaf Shapes Using L-systems and Genetic Algorithms

This work presents a method that combines two techniques: L-systems and Genetic Algorithms (GA) to search for a rewriting expression describing leaf shapes. An L-system is used to construct the shape of a given rewriting expression and GA is used to search for the rewriting expression's fitting parameters. The replacement of real value parameters with tag-functions is introduced. The result sho...

متن کامل

Estimation of genetic parameters for quantitative and qualitative traits in cotton cultivars (Gossypium hirsutum L. & Gossypium barbadense L.) and new scaling test of additive– dominance model

A complete diallel cross of nine cotton genotypes (Gossypium hirsutum L. & Gossypium barbadense L.) viz Delinter, Sindose-80, Omoumi, Bulgare-539, Termez-14, Red leaf (Native species), B-557, Brown fiber and Siokra-324 having diverse genetic origins was conducted over two years to determine the potential for the improvement of yield, its components, oil and fiber qual...

متن کامل

Major Leaf Shapes of Cotton: Genetics and Agronomic Effects in Crop Production

There exist four major leaf shape alleles in tetraploid cotton: normal, sub-okra/Sea-Island, okra, and super-okra. This allelic series has long served as a model genetic locus both in cotton and the broader leaf development research community. Over the years, numerous studies have attributed various production advantages to specific leaf shapes. The objective of this study was to provide a comp...

متن کامل

Kinetic Mechanism Reduction Using Genetic Algorithms, Case Study on H2/O2 Reaction

For large and complex reacting systems, computational efficiency becomes a critical issue in process simulation, optimization and model-based control. Mechanism simplification is often a necessity to improve computational speed. We present a novel approach to simplification of reaction networks that formulates the model reduction problem as an optimization problem and solves it using geneti...

متن کامل

Yarn tenacity modeling using artificial neural networks and development of a decision support system based on genetic algorithms

Yarn tenacity is one of the most important properties in yarn production. This paper addresses modeling of yarn tenacity as well as optimally determining the amounts of the effective inputs to produce yarn with desired tenacity. The artificial neural network is used as a suitable structure for tenacity modeling of cotton yarn with 30 Ne. As the first step for modeling, the empirical data is col...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2000