Research on the selection of charging stations by Q-learning optimized AHP
Author:
Affiliation:
1. Harbin Engineering University,College of Information and Communication Engineering,Harbin,Heilongjiang,China
Funder
Fundamental Research Funds for the Central Universities
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10012685/10012692/10012833.pdf?arnumber=10012833
Reference17 articles.
1. A new parsimonious AHP methodology: Assigning priorities to many objects by comparing pairwise few reference objects
2. Introduction and comparative analysis of the multi-level parsimonious AHP methodology in a public transport development decision problem
3. A Novel Weapon System Effectiveness Assessment Method Based on the Interval-Valued Evidential Reasoning Algorithm and the Analytical Hierarchy Process
4. An Analytic Hierarchy Process Based Approach for Optimal Road Side Unit Placement in Vehicular Ad Hoc Networks
5. Q-Value Based Particle Swarm Restrictions apply. Design;cheng;International Journal on Computer Science and Engineering (IJCSE),2011
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