Titlebook: Applications of Evolutionary Computation; EvoApplications 2010 Cecilia Chio,Stefano Cagnoni,Georgios N. Yannakaki Conference proceedings 20

鍍金

https://doi.org/10.1007/978-0-387-71799-9oses, we used four Ms.?Pac-Man agents, including a hand-coded agent, and tested them against three different ghosts teams. Our approach shows that the evolved controller achieved the highest score among all the other tested controllers, regardless of the ghost team used.

Psa617

Conference proceedings 2010- ciency and simple underlying principles, these methods can be used for a diverse rangeofactivitiesincludingproblemsolving,optimization,machinelearningand pattern recognition. A large and continuously increasing number of researchers and professionals make use of EC techniques in various applicatio

LEERY

極端的正確性

Evolving Individual Behavior in a Multi-agent Traffic Simulatorhe selfish objective to reach its destination in the shortest time possible, and a preference in terms of paths to take, based on the presence of other agents and on the width of the roads. Those parameters are changed with an evolutionary strategy, to mimic the adaptation of a human driver to diffe

機(jī)構(gòu)

On Modeling and Evolutionary Optimization of Nonlinearly Coupled Pedestrian Interactionsented in this paper extend the widespread social force model to include improved velocity-dependent interaction forces. This modeling considers interactions of pedestrians with both static and dynamic obstacles, which can be also be effectively used to model pedestrian-vehicle interactions. The supe