TY - GEN
T1 - Objective function design in real-number-coding genetic algorithm for laser-cutting tool-path minimization
AU - Hu, Wei Kai
AU - Wang, Kerwin
PY - 2013/8/8
Y1 - 2013/8/8
N2 - Laser-cutting path arrangements are constrained multimodal optimization problems. In solving these continuous-path control problems, one can improve the time efficiency and power consumption of laser-cutting process. This chapter presents a simplified objective function design methodology for real-number-coding genetic algorithm. In the cutting route determination stage, all the cutting starting and ending points are placed in a plane at the same place to facilitate the completion of routing. These objective functions can be used for path finding in practical laser-cutting assignments.
AB - Laser-cutting path arrangements are constrained multimodal optimization problems. In solving these continuous-path control problems, one can improve the time efficiency and power consumption of laser-cutting process. This chapter presents a simplified objective function design methodology for real-number-coding genetic algorithm. In the cutting route determination stage, all the cutting starting and ending points are placed in a plane at the same place to facilitate the completion of routing. These objective functions can be used for path finding in practical laser-cutting assignments.
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U2 - 10.1007/978-1-4614-6747-2_55
DO - 10.1007/978-1-4614-6747-2_55
M3 - Conference contribution
AN - SCOPUS:84881050745
SN - 9781461467465
T3 - Lecture Notes in Electrical Engineering
SP - 461
EP - 466
BT - Intelligent Technologies and Engineering Systems
T2 - 2012 1st International Conference on Intelligent Technologies and Engineering Systems, ICITES 2012
Y2 - 13 December 2012 through 15 December 2012
ER -