Mixed-initiative planning envisions a framework in which automated and human planners interact to jointly construct plans that satisfy specific objectives. In this paper, we repo...
Manuela M. Veloso, Alice M. Mulvehill, Michael T. ...
Nearly all Multi-Objective Evolutionary Algorithms (MOEA) rely on random generation of initial population. In large and complex search spaces, this random method often leads to an ...
Traditional minimum area retiming algorithms attempt to achieve their prescribed objective with no regard to maintaining the initial state of the system. This issue is important f...
This paper reports design requirements derived from an ethnographic fieldwork on road inspectors, the design of a mobile service supporting infrastructure management, and initial u...
Recent debate has centered on the relative promise of focusing user-interface research on developing new metaphors and tools that enhance users’ abilities to directly manipulate...