Gail W. DePuy

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This paper investigates the development of an effective heuristic to solve the set covering problem (SCP) by applying the meta-heuristic Meta-RaPS (Meta-heuristic for Randomized Priority Search). In Meta-RaPS, a feasible solution is generated by introducing random factors into a construction method. Then the feasible solutions can be improved by an(More)
The construction of good starting solutions for multi-start local search heuristics is an important, yet not well-studied problem. In these heuristics, randomization methods are usually applied to explore new promising areas and memory mechanisms are incorporated with the main purpose of reinforcing good solutions. Under the template of a typical(More)
This paper introduces an interesting meta-heuristic called Meta-RaPS (Meta-heuristic for Randomized Priority Search) for solving combinatorial problems. Meta-RaPS incorporates randomness within priority rules to construct a feasible solution at each iteration. In addition, Meta-RaPS includes improvement heuristics for enhancing the feasible solution already(More)
This paper describes an iterative technique between optimization and simulation models used to determine solutions to optimization problems and ensure that the solutions are feasible for real world operations (in terms of a simulation model). The technique allows for the development of separate optimization and simulation models with varying levels of(More)
This paper describes an iterative technique between optimization and simulation models used to determine solutions to optimization problems and ensure that the solutions are feasible for real world operations (in terms of a simulation model). The technique allows for the development of separate optimization and simulation models with varying levels of(More)
Component allocation is an important element of process planning for printed circuit card assembly systems. The component allocation problem directly impacts the productivity and cost of a circuit card assembly system. Many companies have recognized the importance of component allocation and have started to develop a better decision process. Also, a few(More)