Title :
Characterization of Extended and Simplified Intelligent Water Drop (SIWD) Approaches and Their Comparison to the Intelligent Water Drop (IWD) Approach
Author :
Straub, J. ; Eunjin Kim
Author_Institution :
Dept. of Comput. Sci., Univ. of North Dakota, Grand Forks, ND, USA
Abstract :
This paper presents a simplified approach to performing the Intelligent Water Drops (IWD) process. This approach is designed to be comparatively lightweight while approximating the results of the full IWD process. The Simplified Intelligent Water Drops (SIWD) approach is specifically designed for applications where IWD must be run in a computationally limited environment (such as on a robot, UAV or small spacecraft) or where performance speed must be maximized for time sensitive applications. The SWID approach is described and compared and contracted to the base IWD approach.
Keywords :
optimisation; extended intelligent water drop approach; performance speed maximisation; simplified intelligent water drop approach; time sensitive applications; Decision making; Equations; Mathematical model; Robots; Sediments; Soil; Space vehicles; AI Decision Making; Intelligent Water Drop; Swarm Intelligence;
Conference_Titel :
Tools with Artificial Intelligence (ICTAI), 2013 IEEE 25th International Conference on
Conference_Location :
Herndon, VA
Print_ISBN :
978-1-4799-2971-9
DOI :
10.1109/ICTAI.2013.25