𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Adaptive process optimization using functional-link networks and evolutionary optimization

✍ Scribed by R. Cass; B. Radl

Book ID
103991999
Publisher
Elsevier Science
Year
1996
Tongue
English
Weight
537 KB
Volume
4
Category
Article
ISSN
0967-0661

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Crystallization process optimization usi
Crystallization process optimization using artificial neural networks
✍ Prof. Dr. Ir. Alexandru Woinaroschy; Lect. Ir. Raluca Isopescu; Prof. Dr. Ir. La πŸ“‚ Article πŸ“… 1994 πŸ› John Wiley and Sons 🌐 English βš– 280 KB πŸ‘ 2 views

This paper presents a new procedure for optimization of continuous mixed suspensionmixed product removal (MSMPR) crystallizing systems. Owing to the difficulties of theoretical modelling, simulation of the MSMPR crystallization process is based on the use of artificial neural networks (ANN). The opt

Electromagnetic optimization using a mix
Electromagnetic optimization using a mixed-parameter self-adaptive evolutionary algorithm
✍ Ahmad Hoorfar; Jinhui Zhu; Sudarshan Nelatury πŸ“‚ Article πŸ“… 2003 πŸ› John Wiley and Sons 🌐 English βš– 492 KB

## Abstract An evolutionary programming algorithm with a mixed continuous‐discrete parameter representation for application in electromagnetic optimization problems is presented. In our approach, the mutation operator consists of a hybrid combination of Gaussian mutation for the continuous paramete