Fuzzy Aggregating Functions for Multiobjective VLSI Placement
When fuzzy logic is used with multiobjective optimization, min/max operators may not be desirable. This is primarily due to lack of compensation/submission of min/max. To over-come this, Ordered Weighted Averaging (OWA) operators were proposed by Yager. OWA requires the selection of a control parameter ?, which is different for different problem instances. In this work the authors propose new fuzzy aggregating functions that simulate the fuzzy AND/OR logic, and have the advantages of OWA without a need of any control parameter. Comparison with OWA for the VLSI cell placement using Simulated Evolution produced encouraging results.