Abstract:
We present an integrated Differential Evolution (DE), Genetic Algorithm (GA) and Hybrid Petri net (HPN) based approach for scheduling of a hybrid dynamical transport netw...Show MoreMetadata
Abstract:
We present an integrated Differential Evolution (DE), Genetic Algorithm (GA) and Hybrid Petri net (HPN) based approach for scheduling of a hybrid dynamical transport network operation. The main advantage of the proposed approach is a reduction of complexity in the optimization problem formulation for a system with non-linear constraints and hybrid discrete-continuous parameters and the impact of discontinuities of the search space ensued by autonomous switching of the network components. In particular the scheduling problem for a natural gas compressor station with parallel pumps is addressed in the case-study.
Date of Conference: 10-14 July 2016
Date Added to IEEE Xplore: 01 September 2016
ISBN Information: