A parameter-less adaptive penalty scheme for steady-state genetic algorithms applied to constrained optimization problems is proposed. For each constraint, a penalty parameter is a...
This paper presents the design and evaluation of an adaptive, system sensitive partitioning and load balancing framework for distributed structured adaptive mesh refinement applic...
The present paper introduces a belief merging procedure by majority using the standard format of Adaptive Logics. The core structure of the logic ADMc (Adaptive Doxastic Merging by...
This paper presents the design and evaluation of an adaptive system sensitive partitioning and load balancing framework for distributed adaptive mesh re nement applications on het...
Accurately selecting modulation rates for time-varying channel conditions is critical for avoiding performance degradations due to rate overselection when channel conditions degra...