عنوان مقاله فارسی: یک رویکرد نورودینامیک جمعی برای بهینهسازی محدود شده توزیعشده
عنوان مقاله لاتین: A Collective Neurodynamic Approach to Distributed Constrained Optimization
نویسندگان: Qingshan Liu; Shaofu Yang; Jun Wang
تعداد صفحات: 11
سال انتشار: 2017
زبان: لاتین
Abstract:
This paper presents a collective neurodynamic approach with multiple interconnected recurrent neural networks (RNNs) for distributed constrained optimization. The objective function of the distributed optimization problems to be solved is a sum of local convex objective functions, which may be nonsmooth. Subject to its local constraints, each local objective function is minimized individually by using an RNN, with consensus among others. In contrast to existing continuous-time distributed optimization methods, the proposed collective neurodynamic approach is capable of solving more general distributed optimization problems. Simulation results on three numerical examples are discussed to substantiate the effectiveness and characteristics of the proposed approach. In addition, an application to the optimal placement problem is delineated to demonstrate the viability of the approach.
a collective neurodynamic approach to distributed constrained optimization_1623578170_49065_4145_1548.zip5.16 MB |