Title
Task Value Calculus: Multi-Objective Trade off Analysis Using Multiple-Valued Decision Diagrams
Abstract
Most multiple-objective optimization algorithms utilize continuous input variables. Given that many decision variables in common use-cases are discrete rather than continuous, we develop a multiple-objective optimization framework over discrete variables known as task value calculus (TVC). The underlying mathematical models in TVC utilize a multiple-valued algebraic framework where both the objective functions and the system or process structure models are represented as multiple-valued functions. TVC allows for fast multiple-objective optimization through the use of the multiple-valued decision diagram (MDD) data structure. The algorithms and structures internal to TVC are described and experimental results are provided. TVC is implemented with a simple graphical user interface making it suitable for use by both laypersons and domain experts.
Year
DOI
Venue
2019
10.1109/ISMVL.2019.00030
2019 IEEE 49th International Symposium on Multiple-Valued Logic (ISMVL)
Keywords
Field
DocType
multiple-valued logic,multiple-objective optimization,multiple-valued decision diagram
Decision variables,Data structure,Algebraic number,Computer science,Graphical user interface,Influence diagram,Optimization algorithm,Mathematical model,Calculus
Conference
ISSN
ISBN
Citations 
0195-623X
978-1-7281-0093-7
0
PageRank 
References 
Authors
0.34
7
5
Name
Order
Citations
PageRank
Tyler Giallanza100.34
Erik Gabrielsen200.34
Michael A. Taylor300.68
Eric Larson4123077.28
Mitchell A. Thornton528040.94