Computational optimization, modelling and simulation: smart algorithms and better models
Yang, Xin-She and Koziel, Slawomir and Leifsson, Leifur (2012) Computational optimization, modelling and simulation: smart algorithms and better models. Procedia Computer Science, 9 . pp. 852-856. ISSN 1877-0509
Full text is not in this repository.
Official URL: http://dx.doi.org/10.1016/j.procs.2012.04.091
Computationaloptimization is becoming a standard tool that is widely used in engineering design and industrial applications. Products and services are often concerned with the maximization of profits and reduction of cost, but also aim at being more energy-efficient, environment-friendly and safety-ensured; at the same time they are limited by resources, time and money. Despite of increasing computer power and availability of better simulation packages, there are a number of challenges remaining when applying numerical optimization methods for real-world engineering problems. Also, new challenges emerge when attempting to attack problems whose solution by means of simulation-based optimization was not even possible in the past. This third workshop on ComputationalOptimization, Modelling and Simulation (COMS 2012) at ICCS 2012 will further summarize the latest developments of optimization and modelling and their applications in science, engineering and industry.
|Keywords (uncontrolled):||algorithm; black-box modelling; computationaloptimization; derivative-free method; optimizationalgorithm; modelling; nonlinear optimization; surragate-based optimization; simulation|
|Research Areas:||Middlesex University Schools and Centres > School of Science and Technology > Computer and Communications Engineering|
|Deposited On:||16 Nov 2012 12:07|
|Last Modified:||04 Aug 2014 14:19|
Repository staff only: item control page
Full text downloads (NB count will be zero if no full text documents are attached to the record)
Downloads per month over the past year