✦ LIBER ✦

Multi-objective optimisation of surface grinding operations using scatter search approach

✍ Scribed by Alluru Gopala Krishna; K. Mallikarjuna Rao

Publisher: Springer
Year: 2005
Tongue: English
Weight: 276 KB
Volume: 29
Category: Article
ISSN: 0268-3768
DOI: 10.1007/s00170-005-2550-z

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Ants colony algorithm approach for multi

Ants colony algorithm approach for multi-objective optimisation of surface grinding operations

✍ N. Baskar; R. Saravanan; P. Asokan; G. Prabhaharan 📂 Article 📅 2004 🏛 Springer 🌐 English ⚖ 264 KB

Optimisation of machining parameters for

Optimisation of machining parameters for milling operations using a scatter search approach

✍ Alluru Gopala Krishna; K. Mallikarjuna Rao 📂 Article 📅 2006 🏛 Springer 🌐 English ⚖ 139 KB

Optimization of the multi-objective dyna

Optimization of the multi-objective dynamic cell formation problem using a scatter search approach

✍ Xiaoqing Wang; Jiafu Tang; Kai-leung Yung 📂 Article 📅 2008 🏛 Springer 🌐 English ⚖ 287 KB

Genetic Algorithm (GA) for Multivariable

Genetic Algorithm (GA) for Multivariable Surface Grinding Process Optimisation Using a Multi-objective Function Model

✍ R. Saravanan; M. Sachithanandam 📂 Article 📅 2001 🏛 Springer 🌐 English ⚖ 74 KB

Multi-objective optimisation of high-spe

Multi-objective optimisation of high-speed electrical discharge machining process using a Taguchi fuzzy-based approach

✍ Yih-fong Tzeng; Fu-chen Chen 📂 Article 📅 2007 🏛 Elsevier Science ⚖ 649 KB

The paper describes the application of the fuzzy logic analysis coupled with Taguchi methods to optimise the precision and accuracy of the high-speed electrical discharge machining (EDM) process. A fuzzy logic system is used to investigate relationships between the machining precision and accuracy f

Multi-objective optimization of surface

Multi-objective optimization of surface grinding process with the use of evolutionary algorithm with remembered Pareto set

✍ A. Slowik; J. Slowik 📂 Article 📅 2007 🏛 Springer 🌐 English ⚖ 509 KB