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Updated: Sep 12, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
Distributed real-time dynamic cooperative optimization with unknown performance function form under resources
1College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, Jiangsu Province, China.
Abstract:
In this paper, a distributed dynamic optimization algorithm is designed to explore the optimization problem of the unknown part of the performance function in continuous time systems. This paper presents an optimal resource allocation scheme for multi-node systems under resource constraints. Different from the traditional work, this paper presents a real-time dynamic optimization solution, which ensures that the algorithm can output the optimal scheduling results based on distributed information in real-time under the time-varying dynamic environment. At the same time, even if the specific form of the system performance function is unknown, the algorithm can still adaptively optimize the global performance according to the team output results.
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