W. Wang, P.C. Nelson, T.M. Tirpak, Optimization of high-speed multistation SMT placement machines using evolutionary algorithms, IEEE Transactions on Electronics Packaging Manufacturing 22 (2) (1999) 137--146. Home/Search Document Details and Download
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Optimisation for Surface Mount Placement Machines - Ayob, Cowling, Kendall (2002) (1 citation) (Correct)
.... consuming [1] This problem is an NP Hard problem and most practical instances are difficult to solve to optimality in a reasonable time [2] In practice, a heuristic solution is highly desirable [1] Heuristic algorithms can generate good solutions efficiently at a reasonable computational cost [3]. Khoo and Loh [4] for example, have developed a prototype genetic algorithm (GA) to enhance a planning system for the placement of surface mount devices (SMDs) on a Fuji FCP IV. Wang et al. 3] argue that their GA performs as well as a human expert in optimising the feeder slot assignment problem ....
....[1] Heuristic algorithms can generate good solutions efficiently at a reasonable computational cost [3] Khoo and Loh [4] for example, have developed a prototype genetic algorithm (GA) to enhance a planning system for the placement of surface mount devices (SMDs) on a Fuji FCP IV. Wang et al.[3] argue that their GA performs as well as a human expert in optimising the feeder slot assignment problem for the Fuji QP 122. Crama et al. 5] agree that the technological characteristics of the equipment influences the nature of some of the planning problems to be solved and the formulation of ....
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Wang, W., Nelson, P.C. and Tirpak, T.M., Optimization of high-speed multistation SMT placement machines using evolutionary algorithms, IEEE Transactions on Electronics Packaging Manufacturing , 22(2), April 1999, pp. 137 --146.
A New Dynamic Point Specification Approach To Optimise Surface .. - Ayob, Kendall (2002) (Correct)
....the placement machine is the robot motion control, the sequence of placement points, and the feeder slot assignment [1] There has been a lot of previous work to improve the sequence of placement point and or feeder slot assignment of the PCB assembly process. For example, Wang, Nelson and Tirpak [2] applied a genetic algorithm (GA) to optimise the feeder slot assignment problem for multistation surface mount technology (SMT) placement machines. They found that the GA performed as well as a human expert. Kumar and Li [3] optimised the feeder setup and component placement sequence by using an ....
Wang, W., Nelson, P.C. and Tirpak, T.M., Optimization of high-speed multistation SMT placement machines using evolutionary algorithms, IEEE Transactions on Electronics Packaging Manufacturing, Vol. 22(2), April 1999, pp. 137-146.
A triple objective function with a Chebychev dynamic.. - Ayob, Kendall (2005) (Correct)
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W. Wang, P.C. Nelson, T.M. Tirpak, Optimization of high-speed multistation SMT placement machines using evolutionary algorithms, IEEE Transactions on Electronics Packaging Manufacturing 22 (2) (1999) 137--146.
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