TY - GEN
T1 - Automatic designing system for piping and instruments arrangement including branches of pipes
AU - Kimura, Hajime
PY - 2011/12/1
Y1 - 2011/12/1
N2 - Automatic design of piping layout is challenging since it is composed of several numerical and/or combinational optimization problems, e.g., routing problems of pipes including branches, and arrangement problems of equipments. This paper presents a new approach that the branches of pipes are considered to be a variety of equipment. Accordingly, the pipe routing problems are fairly simplified by removing the branches, and it derives a lot of efficient algorithms to solve the pipe arrangement problems. One is a multi-objective genetic algorithm (MOGA) in which the gene represents both the locations of the equipments and the arrangement of the pipes. And a new crossover operation which merges two different piping layouts is proposed. To provide a fairly good initial population for the MOGA, a new heuristics making use of self-organization techniques to arrange equipments is proposed. The efficiency of the approach is demonstrated through two experiments, one is a designing problem including five valves, one pump, and five branches, and the other includes seven valves, one pump, and six branches.
AB - Automatic design of piping layout is challenging since it is composed of several numerical and/or combinational optimization problems, e.g., routing problems of pipes including branches, and arrangement problems of equipments. This paper presents a new approach that the branches of pipes are considered to be a variety of equipment. Accordingly, the pipe routing problems are fairly simplified by removing the branches, and it derives a lot of efficient algorithms to solve the pipe arrangement problems. One is a multi-objective genetic algorithm (MOGA) in which the gene represents both the locations of the equipments and the arrangement of the pipes. And a new crossover operation which merges two different piping layouts is proposed. To provide a fairly good initial population for the MOGA, a new heuristics making use of self-organization techniques to arrange equipments is proposed. The efficiency of the approach is demonstrated through two experiments, one is a designing problem including five valves, one pump, and five branches, and the other includes seven valves, one pump, and six branches.
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M3 - Conference contribution
AN - SCOPUS:84864869596
SN - 9781905040872
T3 - RINA, Royal Institution of Naval Architects - International Conference on Computer Applications in Shipbuilding 2011, Papers
SP - 93
EP - 99
BT - RINA, Royal Institution of Naval Architects - International Conference on Computer Applications in Shipbuilding 2011, Papers
T2 - International Conference on Computer Applications in Shipbuilding 2011
Y2 - 20 September 2011 through 22 September 2011
ER -