Selecting Pareto Optimal Frontier with Hidden Objective Algorithm
Journal Title: International Journal of the Computer, the Internet and Management - Year 2016, Vol 24, Issue 2
Abstract
The objective of the research is to select Pareto optimal frontier for multi objectives optimization with ε-Constraint. This article is a continuation of "Multi objectives optimization for Base Station" allocation in which number of base station is best suited to the number of users at the moment. Pareto optimal frontier is the set of answer which are best meet the objectives. There are many methods of selecting Pareto optimal frontier such as game theory, decision making etc. This research present a new method for selecting Pareto optimal frontier under hidden objective algorithm based on Generalize Additive Model (GAM). The accuracy of purposed method is presented with R2 at 96.826%.
Authors and Affiliations
Thanarak Limjitsomboon, Somchai Prakancharoen, Pongpisit Wuttidittachotti
Keywords
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