Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Marcus Furuholmen"'
Publikováno v:
All Days.
Increasing use and complexity of subsea installations has put focus on the costs of maintaining these systems. In addition, access to these systems is sometimes limited by adverse weather and ice conditions. Conventional methods for intervention, mai
Publikováno v:
IEEE Congress on Evolutionary Computation
A Coevolutionary, Hyper Heuristic approach to the optimization of Three-dimensional Process Plant Layouts (3DPPLs) is explored. By taking advantage of the natural problem decomposition, one population of layout heuristics, and another population of s
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642121470
EuroGP
EuroGP
This paper explores an indirect approach to the Three- dimensional Multi-pipe Routing problem. Variable length pipelines are built by letting a virtual robot called a turtle navigate through space, leaving pipe segments along its route. The turtle se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::535074865584978a5ec334cbc2d72115
https://doi.org/10.1007/978-3-642-12148-7_8
https://doi.org/10.1007/978-3-642-12148-7_8
Publikováno v:
GECCO
Several practical problems in industry are difficult to optimize, both in terms of scalability and representation. Heuristics designed by domain experts are frequently applied to such problems. However, designing optimized heuristics can be a non-tri
Publikováno v:
AHS
The paper deals with evolutionary design of impulse burst noise filters. As proposed filters utilize the filtering window of 5x5 pixels, the design method has to be able to manage 25 eight-bit inputs. The large number of inputs results in an evolutio
Publikováno v:
IEEE Congress on Evolutionary Computation
Efficient heuristics are required for on-line optimization problems where search-based methods are unfeasible due to frequent dynamics in the environment. This is especially apparent when operating on combinatorial NP-complete problems involving a la
Publikováno v:
Evolvable Systems: From Biology to Hardware ISBN: 9783540858560
ICES
ICES
A conceptual framework for online evolution in robotic systems called Indirect Online Evolution (IDOE) is presented. A model specie automatically infers models of a physical system and a parameter specie simultaneously optimizes the parameters of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fedb9caae7bb4e1bd85c59e4b58c43e
https://doi.org/10.1007/978-3-540-85857-7_15
https://doi.org/10.1007/978-3-540-85857-7_15
Publikováno v:
2008 ECSIS Symposium on Learning and Adaptive Behaviors for Robotic Systems (LAB-RS).
A conceptual framework for online evolution in robotic systems called indirect online evolution (IDOE) is presented. A model specie automatically infers models of a hidden physical system by the use of gene expression programming (GEP). A parameter s