https://marybethkurz.org/wp-content/uploads/2021/06/bigstock-Writing-Codes-And-Typing-Data-312258286.jpg 600 900 Academic Web Pages /wp-content/themes/awp-enfold/blank.png Academic Web Pages2021-06-03 17:07:132021-07-13 17:04:40Metaheuristics Topics
We apply metaheuristics to NP-hard optimization problems when we have large data sets. Often, these occur in multi-objective settings. Metaheuristics from my research include genetic algorithms, tabu search, and particle swarm optimization. These metaheuristics have been applied to a wide variety of research topics.
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We apply techniques to solve assembly and transfer line balancing and sequencing. Problem specifications include parallel workstations, mixed model assembly lines, two-sided assembly lines, zoning constraints, and ergonomic constraints.
https://marybethkurz.org/wp-content/uploads/2020/12/bigstock-Factory-6240013-1.jpg 600 900 Academic Web Pages /wp-content/themes/awp-enfold/blank.png Academic Web Pages2021-06-01 00:25:452021-07-26 16:35:49Flexible Flowlines Data Repository
We apply heuristics and metaheuristics to flexible flowline scheduling problems. The data used to solve flexible flowline scheduling problems came from a given repository.
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We solve machine scheduling problems using different methods. Problem objectives include minimizing makespan, the number of tardy jobs, and total weighted tardiness as well as multi-objective scheduling. Problem specifications include parallel machines, batch-processing and sequence dependent setups.