Genetic programming theory and practice XIV. ([2018])
- Record Type:
- Book
- Title:
- Genetic programming theory and practice XIV. ([2018])
- Main Title:
- Genetic programming theory and practice XIV
- Other Titles:
- Genetic programming theory and practice 14
- Further Information:
- Note: Rick Riolo, Bill Worzel, Brian Goldman, Bill Tozier, editors.
- Editors:
- Riolo, Rick
Worzel, Bill
Goldman, Brian
Tozier, William - Other Names:
- Workshop on Genetic Programming, Theory and Practice, 14th
- Contents:
- Intro; Preface; Acknowledgments; Contents; Contributors; 1 Similarity-Based Analysis of Population Dynamics in Genetic Programming Performing Symbolic Regression; 1.1 Introduction: Genetic Programming, Population Diversity, and Population Dynamics; 1.2 Similarity Measures; 1.2.1 Genotypic Similarity; 1.2.2 Phenotypic Similarity; 1.3 Test Setup; 1.3.1 Algorithms; 1.3.1.1 Standard Genetic Programming (SGP); 1.3.1.2 Genetic Programming with Offspring Selection (OSGP); 1.3.1.3 ALPS GP; 1.3.2 Problem Instances; 1.4 Test Results; 1.5 Conclusion; References 2 An Investigation of Hybrid Structural and Behavioral Diversity Methods in Genetic Programming2.1 Introduction; 2.2 Related Work; 2.2.1 Genetic Diversity Techniques; 2.2.2 Semantic Methods in GP; 2.3 Fitness Case Bias in Lexicase Selection; 2.4 Hybrid Structural and Behavioral Diversity Methods; 2.5 Experimental Setup; 2.5.1 Problems; 2.6 Results; 2.7 Conclusions and Future Work; References; 3 Investigating Multi-Population Competitive Coevolution for Anticipation of Tax Evasion; 3.1 Introduction; 3.2 Related Work; 3.2.1 Grammatical Evolution; 3.2.2 Coevolution 3.2.3 Coevolution and Grammatical Evolution3.3 Method; 3.3.1 Tax Regulatory Module; 3.3.1.1 Tax Network and Transactions; 3.3.1.2 Audit Score Sheets; 3.3.2 Coevolutionary Module; 3.3.2.1 Adversarial Population Representation; 3.3.2.2 Coevolutionary Tests: Objective Functions; 3.3.2.3 Adaptation-Coevolutionary Genetic Algorithm; 3.4 Experiments; 3.4.1 iBOB Description;Intro; Preface; Acknowledgments; Contents; Contributors; 1 Similarity-Based Analysis of Population Dynamics in Genetic Programming Performing Symbolic Regression; 1.1 Introduction: Genetic Programming, Population Diversity, and Population Dynamics; 1.2 Similarity Measures; 1.2.1 Genotypic Similarity; 1.2.2 Phenotypic Similarity; 1.3 Test Setup; 1.3.1 Algorithms; 1.3.1.1 Standard Genetic Programming (SGP); 1.3.1.2 Genetic Programming with Offspring Selection (OSGP); 1.3.1.3 ALPS GP; 1.3.2 Problem Instances; 1.4 Test Results; 1.5 Conclusion; References 2 An Investigation of Hybrid Structural and Behavioral Diversity Methods in Genetic Programming2.1 Introduction; 2.2 Related Work; 2.2.1 Genetic Diversity Techniques; 2.2.2 Semantic Methods in GP; 2.3 Fitness Case Bias in Lexicase Selection; 2.4 Hybrid Structural and Behavioral Diversity Methods; 2.5 Experimental Setup; 2.5.1 Problems; 2.6 Results; 2.7 Conclusions and Future Work; References; 3 Investigating Multi-Population Competitive Coevolution for Anticipation of Tax Evasion; 3.1 Introduction; 3.2 Related Work; 3.2.1 Grammatical Evolution; 3.2.2 Coevolution 3.2.3 Coevolution and Grammatical Evolution3.3 Method; 3.3.1 Tax Regulatory Module; 3.3.1.1 Tax Network and Transactions; 3.3.1.2 Audit Score Sheets; 3.3.2 Coevolutionary Module; 3.3.2.1 Adversarial Population Representation; 3.3.2.2 Coevolutionary Tests: Objective Functions; 3.3.2.3 Adaptation-Coevolutionary Genetic Algorithm; 3.4 Experiments; 3.4.1 iBOB Description; 3.4.2 Setup; 3.4.3 Coevolution of Auditors & Evaders in iBOB; 3.5 Conclusions and Future Work; References; 4 Evolving Artificial General Intelligence for VideoGame Controllers; 4.1 Introduction; 4.2 Previous Work 4.2.1 Automated Planning and MDP4.2.2 Heuristic Search; 4.2.3 Hyper-Heuristics; 4.2.4 Real-Time Learning of Hyper-Heuristics; 4.2.5 Solvers from GVGAI (Monte Carlo); 4.3 Method; 4.3.1 Heuristic Templates; 4.3.2 Hyper-Heuristics; 4.3.3 Learning Hyper-Heuristics Through Evolution; 4.3.3.1 Individuals; 4.3.3.2 Fitness Function; 4.3.4 GVGAI; 4.3.5 Game Controller; 4.4 And the Winner is …; References; 5 A Detailed Analysis of a PushGP Run; 5.1 Introduction; 5.2 Languages, Configuration, Tools and Setup; 5.3 Ancestry Graphs; 5.3.1 Full Ancestry Graph; 5.3.2 Genetic Ancestry Graph 5.4 The (Successful) End and How We Got There5.4.1 Printing: The First Five Instructions; 5.4.2 Returning: The Last Four Instructions; 5.4.2.1 Branch 4:772 and the Carriers of in1; 5.4.2.2 Branches 4:425, 4:107, and Multiple Blocks; 5.4.2.3 Branch 4:897 and the Carriers of string_length; 5.4.3 From 19:554 to the End, and the Final Adjustments; 5.5 Discussion; 5.6 Conclusions and Future Work; References; 6 Linear Genomes for Structured Programs; 6.1 Introduction; 6.2 Push and PushGP; 6.3 Plush; 6.3.1 Structure; 6.3.2 Translation; 6.3.3 Special Genes; 6.3.4 Example Translation … (more)
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2018
- Copyright Date:
- 2018
- Extent:
- 1 online resource
- Subjects:
- 006.3/1
Computer science
Genetic programming (Computer science) -- Congresses
Artificial intelligence -- Congresses
COMPUTERS / General
Computers -- Intelligence (AI) & Semantics
Computers -- Programming -- Algorithms
Artificial intelligence
Algorithms & data structures
Artificial intelligence
Engineering
Computer software
Electronic books - Languages:
- English
- ISBNs:
- 9783319970882
3319970887 - Related ISBNs:
- 9783319970875
3319970879 - Notes:
- Note: Includes bibliographical references and index.
Note: Online resource; title from PDF title page (EBSCO, viewed October 29, 2018) - Access Rights:
- 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).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.347541
- Ingest File:
- 01_301.xml