Machado <br/><br/>
Genetic Programming/ 

 - New York:   Springer, 
<br/><br/><br/>The Effect of Distinct Geometric Semantic Crossover Operators in Regression Problems<br/>Julio Albinati, Gisele L. Pappa, Fernando E. B. Otero, Luiz Otávio V. B. Oliveira<br/><br/>Learning Text Patterns Using Separate-and-Conquer Genetic Programming<br/>Alberto Bartoli, Andrea De Lorenzo, Eric Medvet, Fabiano Tarlao<br/><br/>Improving Geometric Semantic Genetic Programming with Safe Tree Initialisation<br/>Grant Dick<br/><br/>On the Generalization Ability of Geometric Semantic Genetic Programming<br/>Ivo Gonçalves, Sara Silva, Carlos M. Fonseca<br/><br/>Automatic Derivation of Search Objectives for Test-Based Genetic Programming<br/>Krzysztof Krawiec, Paweł Liskowski<br/><br/>Evolutionary Design of Transistor Level Digital Circuits Using Discrete Simulation<br/>Vojtech Mrazek, Zdenek Vasicek<br/><br/>M3GP – Multiclass Classification with GP<br/>Luis Muñoz, Sara Silva, Leonardo Trujillo<br/><br/>Evolving Ensembles of Dispatching Rules Using Genetic Programming for Job Shop Scheduling<br/>John Park, Su Nguyen, Mengjie Zhang, Mark Johnston<br/><br/>Attributed Grammatical Evolution Using Shared Memory Spaces and Dynamically Typed Semantic Function Specification<br/>James Vincent Patten, Conor Ryan<br/><br/>Indirectly Encoded Fitness Predictors Coevolved with Cartesian Programs<br/>Michaela Sikulova, Jiri Hulva, Lukas Sekanina<br/><br/>Tapped Delay Lines for GP Streaming Data Classification with Label Budgets<br/>Ali Vahdat, Jillian Morgan, Andrew R. McIntyre, Malcolm I. Heywood, A. Nur Zincir-Heywood<br/><br/>Cartesian GP in Optimization of Combinational Circuits with Hundreds of Inputs and Thousands of Gates<br/>Zdenek Vasicek<br/><br/>Posters<br/><br/>Genetic Programming for Feature Selection and Question-Answer Ranking in IBM Watson<br/>Urvesh Bhowan, D. J. McCloskey<br/><br/>Automatic Evolution of Parallel Recursive Programs<br/>Gopinath Chennupati, R. Muhammad Atif Azad, Conor Ryan<br/><br/>Proposal and Preliminary Investigation of a Fitness Function for Partial Differential Models<br/>Igor S. Peretta, Keiji Yamanaka, Paul Bourgine, Pierre Collet<br/><br/>Evolutionary Methods for the Construction of Cryptographic Boolean Functions<br/>Stjepan Picek, Domagoj Jakobovic, Julian F. Miller, Elena Marchiori, Lejla Batina<br/><br/>Templar – A Framework for Template-Method Hyper-Heuristics<br/>Jerry Swan, Nathan Burles<br/> 
<br/><br/><label>ISBN: </label>978-3-319-16501-1