Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Dziurzanski , Piotr"'
Evolutionary methods are effective tools for obtaining high-quality results when solving hard practical problems. Linkage learning may increase their effectiveness. One of the state-of-the-art methods that employ linkage learning is the Parameter-les
Externí odkaz:
http://arxiv.org/abs/2009.08929
Publikováno v:
In Journal of Network and Computer Applications October 2023 219
This paper considers manufacturing planning and scheduling of manufacturing orders whose value decreases over time. The value decrease is modelled with a so-called value curve. Two genetic-algorithm-based methods for multi-objective optimisation have
Externí odkaz:
http://arxiv.org/abs/1912.01562
Industry 4.0 revolution concerns the digital transformation of manufacturing and promises to answer the ever-increasing demand of product customisation and manufacturing flexibility while incurring low costs. To perform the required factory reconfigu
Externí odkaz:
http://arxiv.org/abs/1910.03331
This paper describes the possibility of applying a generic, cloud-based Optimisation as a Service facility to food cooking planning and scheduling in a commercial kitchen. We propose a chromosome encoding and customisation of the classic MOEA/D multi
Externí odkaz:
http://arxiv.org/abs/1910.03322
This volume represents the proceedings of the International Workshop on Reconfigurable and Communication-centric Cyber-Physical Systems (ReCoCyPS 2019), co-located with the 14th International Symposium on Reconfigurable Communication-centric Systems-
Externí odkaz:
http://arxiv.org/abs/1909.05617
The design space of networked embedded systems is very large, posing challenges to the optimisation of such platforms when it comes to support applications with real-time guarantees. Recent research has shown that a number of inter-related optimisati
Externí odkaz:
http://arxiv.org/abs/1905.01888
This volume represents the proceedings of the 2nd International Workshop on Dynamic Resource Allocation and Management in Embedded, High Performance and Cloud Computing (DREAMCloud 2016), co-located with HiPEAC 2016 on 19th January 2016 in Prague, Cz
Externí odkaz:
http://arxiv.org/abs/1601.04675
In this paper, using of automotive use cases as benchmarks for real-time system design has been proposed. The use cases are described in a format supported by AMALTHEA platform, which is a model based open source development environment for automotiv
Externí odkaz:
http://arxiv.org/abs/1601.03708
Publikováno v:
In Swarm and Evolutionary Computation February 2021 60