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GECCO
2006
Springer
145views Optimization» more  GECCO 2006»
13 years 7 months ago
Multi-objective genetic algorithms for pipe arrangement design
This paper presents an automatic design method for piping arrangement. A pipe arrangement design problem is proposed for a space in which many pipes and objects co-exist. This pro...
Satoshi Ikehira, Hajime Kimura
TR
2008
78views more  TR 2008»
13 years 3 months ago
MOMS-GA: A Multi-Objective Multi-State Genetic Algorithm for System Reliability Optimization Design Problems
A custom genetic algorithm was developed and implemented to solve multiple objective multi-state reliability optimization design problems. Many real-world engineering design proble...
Heidi A. Taboada, Jose F. Espiritu, David W. Coit
IPPS
2005
IEEE
13 years 9 months ago
A Cellular Multi-Objective Genetic Algorithm for Optimal Broadcasting Strategy in Metropolitan MANETs
Mobile Ad-hoc Networks (MANETs) are composed of a set of communicating devices which are able to spontaneously interconnect without any pre-existing infrastructure. In such scenar...
Enrique Alba, Bernabé Dorronsoro, Francisco...
JUCS
2006
104views more  JUCS 2006»
13 years 3 months ago
Multi-Objective Evolutionary Algorithms and Pattern Search Methods for Circuit Design Problems
: The paper concerns the design of evolutionary algorithms and pattern search methods on two circuit design problems: the multi-objective optimization of an Operational Transconduc...
Tonio Biondi, Angelo Ciccazzo, Vincenzo Cutello, S...
SIES
2007
IEEE
13 years 10 months ago
Design Space Exploration with Evolutionary Multi-Objective Optimisation
— High level synthesis is one of the next major steps to improve the hw/sw co-design process. The advantages of high nthesis are two-fold. At first the level of abstraction is r...
Martin Holzer 0002, Bastian Knerr, Markus Rupp