Intelligent Planning, Scheduling, and Control

The goal of this research is to identify the optimal operation process and its timing parameters considering real world constraints using advanced computation techniques including heuristic state-space search, fuzzy logic, neural networks, genetic algorithm, simulated annealing, and optimization.

Theoretical Achievements

Industrial Applications

Three industrial applications were developed based on the theoretical results achieved in intelligent planning, scheduling, and control. These three industrial applications are summarized as follows.

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