This is the poster presented at GECCO 08. It presents IGAP, a peer to peer interactive genetic algorithm, where case injection allows individuals to share ideas across multiple individual evolutionary sessions.
1. IGAP: Interactive Genetic Algorithm Peer to Peer
Juan C. Quiroz, Amit Banerjee, and Sushil J. Louis
Evolutionary Computing Systems Lab, Department of Computer Science and Engineering
University of Nevada, Reno
{quiroz, banerjee, sushil}@cse.unr.edu
Traditional Interactive Genetic Algorithm IGAP
Abstract Case Study: Floorplans