✦ LIBER ✦

Topological clustering of maps using a genetic algorithm

✍ Scribed by Dario Maio; Davide Maltoni; Stefano Rizzi

Publisher: Elsevier Science
Year: 1995
Tongue: English
Weight: 739 KB
Volume: 16
Category: Article
ISSN: 0167-8655
DOI: 10.1016/0167-8655(94)00069-f

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Optimal sizing, geometrical and topologi

Optimal sizing, geometrical and topological design using a genetic algorithm

✍ D. E. Grierson; W. H. Pak 📂 Article 📅 1993 🏛 Springer-Verlag 🌐 English ⚖ 817 KB

Geometry Optimisation of Aluminium Clust

Geometry Optimisation of Aluminium Clusters Using a Genetic Algorithm

✍ Lesley D. Lloyd; Roy L. Johnston; Christopher Roberts; Thomas V. Mortimer-Jones 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 175 KB 👁 2 views

Nonlinear mapping using real-valued gene

Nonlinear mapping using real-valued genetic algorithm

✍ Zeng-Ping Chen; Jian-Hui Jiang; Yang Li; Ru-Qin Yu 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 243 KB

## Ž . A real-valued genetic algorithm RGA for the optimization problem of real-valued parameters was developed. Two special operators, orientated mutation and immigration, were introduced to enhance the efficiency of the searching process and confront the causes of premature convergence. The prop

In search of optimal clusters using gene

In search of optimal clusters using genetic algorithms

✍ C.A. Murthy; Nirmalya Chowdhury 📂 Article 📅 1996 🏛 Elsevier Science 🌐 English ⚖ 624 KB

Geometry optimizations of benzene cluste

Geometry optimizations of benzene clusters using a modified genetic algorithm

✍ Cai Wen-Sheng; Yu Fang; Shao Xue-Guang; Pan Zhong-Xiao 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 399 KB 👁 1 views

## Abstract A modified genetic algorithm with real‐number coding, non‐uniform mutation and arithmetical crossover operators was described in this paper. A local minimization was used to improve the final solution obtained by the genetic algorithm. Using the exp‐6–1 interatomic energy function, the

A Clustering Genetic Algorithm for Cylin

A Clustering Genetic Algorithm for Cylinder Drag Optimization

✍ Michele Milano; Petros Koumoutsakos 📂 Article 📅 2002 🏛 Elsevier Science 🌐 English ⚖ 588 KB

A real coded genetic algorithm is implemented for the optimization of actuator parameters for cylinder drag minimization. We consider two types of idealized actuators that are allowed either to move steadily and tangentially to the cylinder surface ("belts") or to steadily blow/suck with a zero net