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.
Archive for month: June, 2021
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.
We apply heuristics and metaheuristics to flexible flowline scheduling problems. The data used to solve flexible flowline scheduling problems came from a given repository.