✦ LIBER ✦

Ultrasonic characterization of porous silicon using a genetic algorithm to solve the inverse problem

✍ Scribed by Bustillo, J.; Fortineau, J.; Gautier, G.; Lethiecq, M.

Book ID: 122293206
Publisher: Elsevier Science
Year: 2014
Tongue: English
Weight: 759 KB
Volume: 62
Category: Article
ISSN: 0963-8695
DOI: 10.1016/j.ndteint.2013.11.007

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A genetic algorithm for solving the inve

A genetic algorithm for solving the inverse problem of support vector machines

✍ Xi-Zhao Wang; Qiang He; De-Gang Chen; Daniel Yeung 📂 Article 📅 2005 🏛 Elsevier Science 🌐 English ⚖ 477 KB

A new method to solve generalized multic

A new method to solve generalized multicriteria optimization problems using the simple genetic algorithm

✍ A. Osyczka; S. Kundu 📂 Article 📅 1995 🏛 Springer-Verlag 🌐 English ⚖ 612 KB

Genetic algorithm to treat a superconduc

Genetic algorithm to treat a superconducting magnet calculation as a magnetostatic inverse problem

✍ Netter, D.; Rezzoug, A. 📂 Article 📅 2001 🏛 The Institution of Electrical Engineers 🌐 English ⚖ 454 KB

Solving facilities location problem in t

Solving facilities location problem in the presence of alternative processing routes using a genetic algorithm

✍ Maghsud Solimanpur; Mehdi A. Kamran 📂 Article 📅 2010 🏛 Elsevier Science 🌐 English ⚖ 958 KB

## a b s t r a c t Facilities location problem deals with the optimization of location of manufacturing facilities like machines, departments, etc. in the shop floor. This problem greatly affects performance of a manufacturing system. It is assumed in this paper that there are multiple products to

Retrieval of canopy biophysical variable

Retrieval of canopy biophysical variables from bidirectional reflectance: Using prior information to solve the ill-posed inverse problem

✍ B Combal; F Baret; M Weiss; A Trubuil; D Macé; A Pragnère; R Myneni; Y Knyazikhi 📂 Article 📅 2003 🏛 Elsevier Science 🌐 English ⚖ 614 KB

A hybrid approach based on genetic algor

A hybrid approach based on genetic algorithms to solve the problem of cutting structural beams in a metalwork company