Tom’s Suggestions

GECCO-2012 papers:

• Hornby and Bongard: Accelerating Human-Computer Collaborative Search through Learning Comparative and Predictive User Models
• Bailey et al.: Automatic Generation of Graph Models for Complex Networks by Genetic Programming
• Swafford et al.: Comparing Methods for Module Identification in Grammatical Evolution
• Harding et al.: MT-CGP: Mixed Type Cartesian Genetic Programming
• Le Goues et al.: Representations and Operators for Improving Evolutionary Software Repair
• Kotzing et al.: The Max Problem Revisited: The Importance of Mutation in Genetic Programming
• Harper: Spatial Co-Evolution – Quicker, Fitter and Less Bloated

Lee’s Suggestions

• Jeff Clune, Jean-Baptiste Mouret and Hod Lipson: The evolutionary origins of modularity
• Torres-Sosa et al.: Criticality Is an Emergent Property of Genetic Networks that Exhibit Evolvability
• Castle and Johnson: Evolving program trees with limited scope variable declarations
• Kalai et al.: A Machine Learning Framework for Programming by Example
• Yessenov et al.: A Colorful Approach to Programming by Example
• McGregor et al.: Evolution of Associative Learning in Chemical Networks

Emma’s Suggestions

Ullman, Goodman, Tenenbaum : Theory Acquisition as Stochastic Search

Previously Read in Lab

• Silva and Vanneschi Operator Equalisation, Bloat and Overfitting – This paper features the Bioababailability problem, which may be of particular interest to Zeke since it has to do with doing regression on properties of chemicals.
• Hornby: ALPS: The Age-Layered Population Structure for Reducing the Problem of Premature Convergence