Bi-criteria Optimization Problem for Rules and Systems of Rules: Cost Versus Cost
KAUST DepartmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Computer Science Program
Computational Bioscience Research Center (CBRC)
Applied Mathematics and Computational Science Program
Permanent link to this recordhttp://hdl.handle.net/10754/653078
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AbstractIn this chapter, we consider algorithms which construct the sets of Pareto optimal points for bi-criteria optimization problems for decision rules and rule systems relative to two cost functions. We show how the constructed set of Pareto optimal points can be transformed into the graphs of functions which describe the relationships between the considered cost functions. We compare 13 greedy heuristics for construction of decision rules from the point of view of single-criterion optimization (relative to length or coverage) and bi-criteria optimization (relative to length and coverage). At the end of the chapter, we generalize the obtained results to the case of inhibitory rules and systems of inhibitory rules.
CitationAlsolami F, Azad M, Chikalov I, Moshkov M (2019) Bi-criteria Optimization Problem for Rules and Systems of Rules: Cost Versus Cost. Intelligent Systems Reference Library: 203–224. Available: http://dx.doi.org/10.1007/978-3-030-12854-8_13.