00000ctmaa22000003a 4500 UP-1685675941123923279 Buklod 20151013155512.0 aa rb |||1 u| ta 151013s xx d r |||| u| (iLib)UPTAC-00017720387 UPVTC eng LG 993.5 2011 C66 V9 Vy, Ronald Ryan L. author. SimuCats controlling crowd behavior using Cat Swarm Optimization Ronald Ryan L. Vy; John Paul T. Yusiong, adviser. 2011. [4], 56 leaves illustrations. Undergraduate thesis (B.S. Computer Science) -- University of the Philippines, Tacloban. Crowd Simulation for virtual environments offer many challenges centered on the tradeoffs between realistic behavior, control, and computational cost. This paper presents a new approach in simulating crowds, by using the recent swarm intelligence algorithm known as Cat Swarm Optimization (CSO). In this approach, a person (cat) in the crowd (swarm) can adopt the information in its environment to navigate to a path from the initial position to the specified target (optimum) automatically while avoiding one another. The results of simulations show that CSO can generate reasonable non-deterministic and non-colliding paths in numerous different scenarios, such as static obstacles, and a moving target. Crowd control. Crowd simulation. Cat Swarm Optimization (CSO). Yusiong, John Paul T. adviser. FI UP UPTAC UPTAC LG 993.5 2011 C66 V9 Thesis