A Static Continuous Location Strategy based on Multi Intelligent Agent-Optimization Algorithm An automatic location algorithm based on swarm intelligence algorithm has been proposed to tackle the location problem in a continuous real space and is validated on a case give by [1].
- We design a novel objective function for general location problems which takes both of the branch operation costs and residents’ travel costs into consideration simultaneously.
- A comprehensive location strategy which combines hierarchical clustering and multi gravities methods.
- A swarm intelligence-based continuous location algorithm is proposed and shows outstanding results. A figure of solution representation is followed below.
The heuristic.py contains the swarm intelligence-based location algorithm. The present_cost.py contains the novel objective function proposed. The run.py implements the innovated strategies and outputs the simulation results with hyper-parameters given in the case in [1].
[1] Ballou, Ronald H. "Business Logistics Managelnent." (1992).
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