Computational optimization, modelling and simulation: smart algorithms and better models

Yang, Xin-She ORCID logoORCID: https://orcid.org/0000-0001-8231-5556, 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 [Article] (doi:10.1016/j.procs.2012.04.091)

Abstract

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.

Item Type: Article
Additional Information: Proceedings of the International Conference on Computational Science, ICCS 2012
Keywords (uncontrolled): algorithm; black-box modelling; computationaloptimization; derivative-free method; optimizationalgorithm; modelling; nonlinear optimization; surragate-based optimization; simulation
Research Areas: A. > School of Science and Technology > Design Engineering and Mathematics
Item ID: 9544
Useful Links:
Depositing User: Teddy ~
Date Deposited: 16 Nov 2012 12:07
Last Modified: 10 Jun 2019 13:07
URI: https://eprints.mdx.ac.uk/id/eprint/9544

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