Genetic programming theory and practice XV. ([2018])
- Record Type:
- Book
- Title:
- Genetic programming theory and practice XV. ([2018])
- Main Title:
- Genetic programming theory and practice XV
- Other Titles:
- Genetic programming theory and practice 15
- Further Information:
- Note: Wolfgang Banzhaf, Randal S. Olson, William Tozier, Rick Riolo, editors.
- Editors:
- Banzhaf, Wolfgang, 1955-
Olson, Randal S
Tozier, William
Riolo, Rick - Other Names:
- Workshop on Genetic Programming, Theory and Practice, 15th
- Contents:
- Intro; Foreword; Preface; Acknowledgements; Contents; Contributors; 1 Exploiting Subprograms in Genetic Programming; 1.1 Introduction; 1.2 Related Work; 1.3 Exploiting Subprograms; 1.3.1 BGP Strategy; 1.3.2 Exploring Model Bias; 1.3.3 Identifying Useful Subprograms; 1.4 Experiments; 1.4.1 Experimental Data, Parameters; 1.4.2 Sensitivity to Model Bias; 1.4.3 Aggregate Trace Matrices; 1.5 Conclusions and Future Work; References; 2 Schema Analysis in Tree-Based Genetic Programming; 2.1 Introduction; 2.1.1 Diversity and Evolutionary Dynamics; 2.1.2 Genetic Programming Schemata; 2.2 Methodology. 2.2.1 Schema Generation2.2.2 Schema Matching; 2.3 Experimental Setup; 2.3.1 Algorithm Parameters; 2.3.2 Problem Instances; 2.3.3 Analysis Methods; 2.4 Empirical Results; 2.4.1 Standard GP; Poly-10 Problem; Tower Problem; 2.4.2 Offspring Selection GP; Poly-10 Problem; 2.5 Conclusion; References; 3 Genetic Programming Symbolic Classification: A Study; 3.1 Introduction; 3.2 AMAXSC in Brief; 3.3 MDC in Brief; 3.4 M2GP in Brief; 3.5 LDA Background; 3.6 LDA Matrix Math; 3.7 LDA Assisted Fitness Implementation; 3.7.1 Converting to Basis Space; 3.7.2 Class Clusters and Centroids. 3.7.3 LDA Coefficients3.8 Artificial Test Problems; 3.9 Performance on Test Problems; 3.10 Conclusion; References; 4 Problem Driven Machine Learning by Co-evolving Genetic Programming Trees and Rules in a Learning Classifier System; 4.1 Introduction; 4.2 Methods; 4.2.1 ExSTraCS; 4.2.2 GP Integration; 4.2.2.1 GPIntro; Foreword; Preface; Acknowledgements; Contents; Contributors; 1 Exploiting Subprograms in Genetic Programming; 1.1 Introduction; 1.2 Related Work; 1.3 Exploiting Subprograms; 1.3.1 BGP Strategy; 1.3.2 Exploring Model Bias; 1.3.3 Identifying Useful Subprograms; 1.4 Experiments; 1.4.1 Experimental Data, Parameters; 1.4.2 Sensitivity to Model Bias; 1.4.3 Aggregate Trace Matrices; 1.5 Conclusions and Future Work; References; 2 Schema Analysis in Tree-Based Genetic Programming; 2.1 Introduction; 2.1.1 Diversity and Evolutionary Dynamics; 2.1.2 Genetic Programming Schemata; 2.2 Methodology. 2.2.1 Schema Generation2.2.2 Schema Matching; 2.3 Experimental Setup; 2.3.1 Algorithm Parameters; 2.3.2 Problem Instances; 2.3.3 Analysis Methods; 2.4 Empirical Results; 2.4.1 Standard GP; Poly-10 Problem; Tower Problem; 2.4.2 Offspring Selection GP; Poly-10 Problem; 2.5 Conclusion; References; 3 Genetic Programming Symbolic Classification: A Study; 3.1 Introduction; 3.2 AMAXSC in Brief; 3.3 MDC in Brief; 3.4 M2GP in Brief; 3.5 LDA Background; 3.6 LDA Matrix Math; 3.7 LDA Assisted Fitness Implementation; 3.7.1 Converting to Basis Space; 3.7.2 Class Clusters and Centroids. 3.7.3 LDA Coefficients3.8 Artificial Test Problems; 3.9 Performance on Test Problems; 3.10 Conclusion; References; 4 Problem Driven Machine Learning by Co-evolving Genetic Programming Trees and Rules in a Learning Classifier System; 4.1 Introduction; 4.2 Methods; 4.2.1 ExSTraCS; 4.2.2 GP Integration; 4.2.2.1 GP Population Initialization; 4.2.2.2 GP Parent Selection; 4.2.2.3 GP Mating; 4.2.2.4 GP Fitness and Evaluation; 4.2.3 Datasets and Evaluation; 4.3 Preliminary Results; 4.4 Conclusions and Ongoing Work; References; 5 Applying Ecological Principles to Genetic Programming; 5.1 Introduction. 5.1.1 Motivation5.1.2 Ecological Approaches in Evolutionary Algorithms; 5.1.3 Limited Resources and Eco-EA; 5.1.4 Complexifying Environments; 5.2 Methods; 5.2.1 10-Dimensional Box Problem; 5.2.2 Eco-EA Implementation; 5.2.3 Lexicase Selection Implementation; 5.2.4 Tournament Selection Implementation; 5.2.5 Configuration Details; 5.2.6 Statistical Methods; 5.2.7 Code Availability; 5.3 Results and Discussion; 5.4 Conclusions and Future Work; References; 6 Lexicase Selection with Weighted Shuffle; 6.1 Introduction; 6.2 Lexicase Selection; 6.3 Weighted Shuffle; 6.3.1 Shuffling Methods. 6.3.2 Bias Metrics6.4 Experimental Setup; 6.4.1 Problems; 6.4.2 Push and PushGP; 6.5 Results; 6.6 Discussion; 6.7 Related Work; 6.8 Conclusions and Future Work; References; 7 Relaxations of Lexicase Parent Selection; 7.1 Introduction; 7.2 Lexicase Selection; 7.3 Epsilon Lexicase Selection; 7.4 Random Threshold Lexicase Selection; 7.5 MADCAP Epsilon Lexicase Selection; 7.6 Truncated Lexicase Selection; 7.7 Experimental Results; 7.8 Relation to Many-Objective Optimization; 7.9 Discussion; References; 8 A System for Accessible Artificial Intelligence; 8.1 Introduction; 8.2 The Human Engine. … (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
Artificial intelligence
Genetic programming (Computer science)
Computers -- Intelligence (AI) & Semantics
Computers -- Programming -- Algorithms
Artificial intelligence
Algorithms & data structures
Artificial intelligence
Engineering
Computer software
Electronic books
Conference papers and proceedings - Languages:
- English
- ISBNs:
- 9783319905129
3319905120
3319905112
9783319905112 - Related ISBNs:
- 9783319905112
3319905112 - Notes:
- Note: Includes bibliographical references and index.
Note: Online resource; title from PDF title page (EBSCO, viewed July 13, 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.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.371219
- Ingest File:
- 01_357.xml