Multi-objective optimisation of machine tool error mapping using automated planning
نویسندگان
چکیده
منابع مشابه
Multi-objective optimisation of machine tool error mapping using automated planning
Error mapping of machine tools is a multi-measurement task that is planned based on expert knowledge. There are no intelligent tools aiding the production of optimal measurement plans. In previous work, a method of intelligently constructing measurement plans demonstrated that it is feasible to optimise the plans either to reduce machine tool downtime or the estimated uncertainty of measurement...
متن کاملAutomated Planning for Multi-Objective Machine Tool Calibration: Optimising Makespan and Measurement Uncertainty
The evolution in precision manufacturing has resulted in the requirement to produce and maintain more accurate machine tools. This new requirement coupled with desire to reduce machine tool downtime places emphasis on the calibration procedure during which the machine’s capabilities are assessed. Machine tool downtime is significant for manufacturers because the machine will be unavailable for ...
متن کاملMulti-objective optimisation using the Bees Algorithm
This paper describes the first application of the Bees Algorithm to multi-objective optimisation problems. The Bees Algorithm is a search procedure inspired by the way honey bees forage for food. A standard mechanical design problem, the design of a welded beam structure, was used to benchmark the Bees Algorithm. The results obtained show the robust performance of the Bees Algorithm.
متن کاملPhylogenetic Inference using Evolutionary Multi-objective Optimisation
Evolutionary relationships among species are usually (i) illustrated by means of a phylogenetic tree and (ii) inferred by optimising some measure of fitness, such as the total evolutionary distance between species or the likelihood of the tree (given a model of the evolutionary process and a data set). The combinatorial complexity of inferring the topology of the best tree makes phylogenetic in...
متن کاملProbabilistic Power Distribution Planning Using Multi-Objective Harmony Search Algorithm
In this paper, power distribution planning (PDP) considering distributed generators (DGs) is investigated as a dynamic multi-objective optimization problem. Moreover, Monte Carlo simulation (MCS) is applied to handle the uncertainty in electricity price and load demand. In the proposed model, investment and operation costs, losses and purchased power from the main grid are incorporated in the f...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Expert Systems with Applications
سال: 2015
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2014.11.066