Automated Photogrammetric Network Design Using the Parisian Approach

We present a novel camera network design methodology based on the Parisian approach to evolutionary computation. The problem is partitioned into a set of homogeneous elements, whose individual contribution to the problem solution can be evaluated separately. These elements are allocated in a population with the goal of creating a single solution by a process of aggregation. Thus, the goal of the evolutionary process is to generate individuals that jointly form better solutions. Under the proposed paradigm, aspects such as problem decomposition and representation, as well as local and global fitness integration need to be addressed. Experimental results illustrate significant improvements, in terms of solution quality and computational cost, when compared to canonical evolutionary approaches.

• Type: Conference
• Year: 2005
• Where: EVOW
• Authors: Enrique Dunn, Gustavo Olague, Evelyne Lutton
• Keywords: Artificial Intelligence, Evolutionary, Evolutionary Computation, EVOW 2005, Problem Solution