Genetic programming : 20th European Conference, EuroGP 2017, Amsterdam, the Netherlands, April 19-21, 2017, Proceedings /: 20th European Conference, EuroGP 2017, Amsterdam, the Netherlands, April 19-21, 2017, Proceedings. (2017)
- Record Type:
- Book
- Title:
- Genetic programming : 20th European Conference, EuroGP 2017, Amsterdam, the Netherlands, April 19-21, 2017, Proceedings /: 20th European Conference, EuroGP 2017, Amsterdam, the Netherlands, April 19-21, 2017, Proceedings. (2017)
- Main Title:
- Genetic programming : 20th European Conference, EuroGP 2017, Amsterdam, the Netherlands, April 19-21, 2017, Proceedings
- Other Titles:
- EuroGP 2017
- Further Information:
- Note: James McDermott, Mauro Castelli, Lukas Sekanina, Evert Haasdijk, Pablo García-Sánchez (eds.).
- Editors:
- (Computer scientist), McDermott, James
(Professor of Natural Computing), Castelli, Mauro
Sekanina, Lukáš
Haasdijk, Evert
(Computer scientist), García Sánchez, Pablo - Other Names:
- EuroGP (Conference), 20th
- Contents:
- Intro; Preface; Organization; Contents; Oral Presentations; Evolutionary Program Sketching; 1 Introduction; 2 Program Sketching; 3 Evolutionary Program Sketching; 3.1 Problem Specification; 3.2 Instruction Set; 3.3 Fitness Function; 3.4 Exploiting the Feedback from Hole Completion; 4 Related Work; 5 Experimental Evaluation; 6 Discussion; 7 Conclusion; References; Exploring Fitness and Edit Distance of Mutated Python Programs; 1 Introduction; 2 Related Work; 3 Our Implementation of Genetic Improvement; 3.1 Fitness Function; 3.2 Search Algorithm; 4 Experimental Setup 4.1 Description of the Programs Targeted by GI5 Results; 5.1 Change in Fitness; 5.2 Average Fitness with Respect to Edit List Size; 5.3 Discrete Steps in Fitness; 6 Conclusions; References; Differentiable Genetic Programming; 1 Introduction; 2 Program Encoding; 3 The Algebra of Truncated Polynomials; 3.1 The Link to Taylor Polynomials; 3.2 Non Rational Functions; 4 Example of a dCGP; 5 Learning Constants in Symbolic Regression; 5.1 Ephemeral Constants Approach; 5.2 Weighted dCGP Approach; 6 Solution to Differential Equations; 7 Discovery of Prime Integrals; 8 Conclusions; References Evolving Game State Features from Raw Pixels1 Introduction; 2 Related Research; 3 Materials; 3.1 Games; 3.2 Handcrafted Game State Features; 4 Evolving Video Game State Visual Features Using Genetic Programming; 4.1 Evolving Game State Features; 4.2 Voting for Actions; 5 Results; 6 Conclusion; References; Emergent Tangled GraphIntro; Preface; Organization; Contents; Oral Presentations; Evolutionary Program Sketching; 1 Introduction; 2 Program Sketching; 3 Evolutionary Program Sketching; 3.1 Problem Specification; 3.2 Instruction Set; 3.3 Fitness Function; 3.4 Exploiting the Feedback from Hole Completion; 4 Related Work; 5 Experimental Evaluation; 6 Discussion; 7 Conclusion; References; Exploring Fitness and Edit Distance of Mutated Python Programs; 1 Introduction; 2 Related Work; 3 Our Implementation of Genetic Improvement; 3.1 Fitness Function; 3.2 Search Algorithm; 4 Experimental Setup 4.1 Description of the Programs Targeted by GI5 Results; 5.1 Change in Fitness; 5.2 Average Fitness with Respect to Edit List Size; 5.3 Discrete Steps in Fitness; 6 Conclusions; References; Differentiable Genetic Programming; 1 Introduction; 2 Program Encoding; 3 The Algebra of Truncated Polynomials; 3.1 The Link to Taylor Polynomials; 3.2 Non Rational Functions; 4 Example of a dCGP; 5 Learning Constants in Symbolic Regression; 5.1 Ephemeral Constants Approach; 5.2 Weighted dCGP Approach; 6 Solution to Differential Equations; 7 Discovery of Prime Integrals; 8 Conclusions; References Evolving Game State Features from Raw Pixels1 Introduction; 2 Related Research; 3 Materials; 3.1 Games; 3.2 Handcrafted Game State Features; 4 Evolving Video Game State Visual Features Using Genetic Programming; 4.1 Evolving Game State Features; 4.2 Voting for Actions; 5 Results; 6 Conclusion; References; Emergent Tangled Graph Representations for Atari Game Playing Agents; 1 Introduction; 2 Background; 3 The Arcade Learning Environment; 3.1 Screen State Space Representation; 4 Evolving Tangled Program Graphs; 4.1 Coevolving Teams of Programs; 4.2 Emergent Modularity 4.3 Diversity Maintenance5 Empirical Experiments; 5.1 Experimental Setup; 5.2 Results; 5.3 Solution Analysis; 6 Conclusion and Future Work; References; A General Feature Engineering Wrapper for Machine Learning Using -Lexicase Survival; 1 Introduction; 2 Feature Engineering Wrapper; 2.1 -lexicase Survival; 2.2 Scaling; 3 Related Work; 4 Experimental Analysis; 4.1 Problems; 5 Results; 5.1 Hyper-Parameter Optimization; 5.2 Problem Performance; 5.3 Statistical Analysis; 6 Discussion; 7 Conclusions; References; Visualising the Search Landscape of the Triangle Program; 1 Genetic Improvement 2 Triangle Program Software Engineering Benchmark3 Binary Representation: Replacing Comparisons with One Alternative; 3.1 High Order Binary Schema Are Not Deceptive; 3.2 Binary Schema Predict All Solutions of the Triangle Program; 3.3 Local Search Landscape of the Binary Space; 4 Original All Comparisons; 4.1 Fitness Space of Triangle Program; 4.2 High Order Schema Analysis; 4.3 Local Search for the Triangle Program; 4.4 Local Optima Networks; 5 Conclusions; References; RANSAC-GP: Dealing with Outliers in Symbolic Regression with Genetic Programming; 1 Introduction; 2 Background; 2.1 Outliers … (more)
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2017
- Extent:
- 1 online resource (xii, 359 pages), illustrations
- Subjects:
- 006.3/823
Computer science
Genetic programming (Computer science) -- Congresses
Genetic programming (Computer science)
Computer Science
Algorithm Analysis and Problem Complexity
Computation by Abstract Devices
Artificial Intelligence (incl. Robotics)
Computer Applications
Discrete Mathematics in Computer Science
Computers -- Machine Theory
Computers -- Intelligence (AI) & Semantics
Computers -- Data Processing
User interface design & usability
Artificial intelligence
Information technology: general issues
Discrete mathematics
Computer software
Artificial intelligence
Computational complexity
Computers -- Programming -- Algorithms
Algorithms & data structures
Electronic books
Conference papers and proceedings - Languages:
- English
- ISBNs:
- 9783319556963
3319556967 - Related ISBNs:
- 9783319556956
3319556959 - Notes:
- Note: Online resource; title from PDF title page (SpringerLink, viewed April 7, 2017).
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- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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- British Library HMNTS - ELD.DS.364924
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