IGAP: interactive genetic algorithm peer to peer

We present IGAP, a peer to peer interactive genetic algorithm which reflects the real world methodology followed in team design. We apply our methodology to floorplanning. Through collaboration users are able to visualize designs done by peers on the network, while using case injection to allow them to bias their populations and the fitness function to adapt to subjective preferences. Categories and Subject Descriptors: I.2.8 [Artificial Intelligence]: Problem Solving, Control Methods, and Search General Terms: Algorithms, Design, Human Factors

• Type: Conference
• Year: 2008
• Where: GECCO
• Authors: Juan C. Quiroz, Amit Banerjee, Sushil J. Louis
• Keywords: GECCO 2008, Interactive Genetic Algorithm, Optimization, Real World Methodology, Search General Terms