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ORCID15th PPSN 2018: Coimbra, Portugal
- Anne Auger, Carlos M. Fonseca
, Nuno Lourenço, Penousal Machado, Luís Paquete, L. Darrell Whitley:
Parallel Problem Solving from Nature - PPSN XV - 15th International Conference, Coimbra, Portugal, September 8-12, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11102, Springer 2018, ISBN 978-3-319-99258-7
Runtime Analysis and Approximation Results
- Johannes Lengler:
A General Dichotomy of Evolutionary Algorithms on Monotone Functions. 3-15 - Dogan Corus, Pietro S. Oliveto, Donya Yazdani:
Artificial Immune Systems Can Find Arbitrarily Good Approximations for the NP-Hard Partition Problem. 16-28 - Eduardo Carvalho Pinto, Carola Doerr:
A Simple Proof for the Usefulness of Crossover in Black-Box Optimization. 29-41 - Timo Kötzing, J. A. Gregor Lagodzinski, Johannes Lengler, Anna Melnichenko:
Destructiveness of Lexicographic Parsimony Pressure and Alleviation by a Concatenation Crossover in Genetic Programming. 42-54 - L. Darrell Whitley, Swetha Varadarajan, Rachel Hirsch, Anirban Mukhopadhyay:
Exploration and Exploitation Without Mutation: Solving the Jump Function in \varTheta (n) Time. 55-66 - Dogan Corus, Pietro S. Oliveto, Donya Yazdani:
Fast Artificial Immune Systems. 67-78 - Timo Kötzing, Martin S. Krejca:
First-Hitting Times for Finite State Spaces. 79-91 - Timo Kötzing, Martin S. Krejca:
First-Hitting Times Under Additive Drift. 92-104 - Per Kristian Lehre, Phan Trung Hai Nguyen:
Level-Based Analysis of the Population-Based Incremental Learning Algorithm. 105-116 - Denis Antipov, Benjamin Doerr:
Precise Runtime Analysis for Plateaus. 117-128 - Clemens Frahnow, Timo Kötzing:
Ring Migration Topology Helps Bypassing Local Optima. 129-140 - Frank Neumann, Andrew M. Sutton:
Runtime Analysis of Evolutionary Algorithms for the Knapsack Problem with Favorably Correlated Weights. 141-152 - Thomas Jansen, Christine Zarges:
Theoretical Analysis of Lexicase Selection in Multi-objective Optimization. 153-164 - Chao Bian, Chao Qian, Ke Tang:
Towards a Running Time Analysis of the (1+1)-EA for OneMax and LeadingOnes Under General Bit-Wise Noise. 165-177
Fitness Landscape Modeling and Analysis
- Sébastien Vérel, Bilel Derbel, Arnaud Liefooghe, Hernán E. Aguirre, Kiyoshi Tanaka:
A Surrogate Model Based on Walsh Decomposition for Pseudo-Boolean Functions. 181-193 - Marcos Diez García, Alberto Moraglio:
Bridging Elementary Landscapes and a Geometric Theory of Evolutionary Algorithms: First Steps. 194-206 - Edgar Covantes Osuna, Dirk Sudholt:
Empirical Analysis of Diversity-Preserving Mechanisms on Example Landscapes for Multimodal Optimisation. 207-219 - Martin Zaefferer, Jörg Stork, Oliver Flasch, Thomas Bartz-Beielstein:
Linear Combination of Distance Measures for Surrogate Models in Genetic Programming. 220-231 - Arnaud Liefooghe, Bilel Derbel, Sébastien Vérel, Manuel López-Ibáñez, Hernán E. Aguirre, Kiyoshi Tanaka:
On Pareto Local Optimal Solutions Networks. 232-244 - Gabriela Ochoa, Sebastian Herrmann:
Perturbation Strength and the Global Structure of QAP Fitness Landscapes. 245-256 - Sébastien Vérel, Fabio Daolio, Gabriela Ochoa, Marco Tomassini:
Sampling Local Optima Networks of Large Combinatorial Search Spaces: The QAP Case. 257-268
Algorithm Configuration, Selection, and Benchmarking
- Yasha Pushak, Holger H. Hoos:
Algorithm Configuration Landscapes: - More Benign Than Expected? 271-283 - Sobia Saleem, Marcus Gallagher, Ian A. Wood:
A Model-Based Framework for Black-Box Problem Comparison Using Gaussian Processes. 284-295 - Steven J. Daniels, Alma As-Aad Mohammad Rahat, Richard M. Everson, Gavin R. Tabor, Jonathan E. Fieldsend:
A Suite of Computationally Expensive Shape Optimisation Problems Using Computational Fluid Dynamics. 296-307 - Alex Guimarães Cardoso de Sá, Alex Alves Freitas, Gisele L. Pappa:
Automated Selection and Configuration of Multi-Label Classification Algorithms with Grammar-Based Genetic Programming. 308-320 - Mudita Sharma, Manuel López-Ibáñez, Dimitar Kazakov:
Performance Assessment of Recursive Probability Matching for Adaptive Operator Selection in Differential Evolution. 321-333 - Alberto Moraglio, James McDermott:
Program Trace Optimization. 334-346 - Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang:
Sampling Heuristics for Multi-objective Dynamic Job Shop Scheduling Using Island Based Parallel Genetic Programming. 347-359 - Carola Doerr, Markus Wagner:
Sensitivity of Parameter Control Mechanisms with Respect to Their Initialization. 360-372 - Iván Amaya, José Carlos Ortiz-Bayliss, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín, Carlos A. Coello Coello:
Tailoring Instances of the 1D Bin Packing Problem for Assessing Strengths and Weaknesses of Its Solvers. 373-384
Machine Learning and Evolutionary Algorithms
- Nam Le, Michael O'Neill, Anthony Brabazon:
Adaptive Advantage of Learning Strategies: A Study Through Dynamic Landscape. 387-398 - Martin Zaefferer, Daniel Horn:
A First Analysis of Kernels for Kriging-Based Optimization in Hierarchical Search Spaces. 399-410 - Nils Müller, Tobias Glasmachers:
Challenges in High-Dimensional Reinforcement Learning with Evolution Strategies. 411-423 - Jonas Prellberg, Oliver Kramer:
Lamarckian Evolution of Convolutional Neural Networks. 424-435 - Marco Baioletti, Alfredo Milani, Valentino Santucci:
Learning Bayesian Networks with Algebraic Differential Evolution. 436-448 - L. Darrell Whitley, Renato Tinós, Francisco Chicano:
Optimal Neuron Selection and Generalization: NK Ensemble Neural Networks. 449-460 - Krzysztof Jurczuk, Daniel Reska, Marek Kretowski:
What Are the Limits of Evolutionary Induction of Decision Trees? 461-473
Tutorials and Workshops at PPSN 2018
- Gisele Lobo Pappa, Michael T. M. Emmerich, Ana L. C. Bazzan, Will N. Browne, Kalyanmoy Deb, Carola Doerr, Marko Durasevic, Michael G. Epitropakis, Saemundur O. Haraldsson, Domagoj Jakobovic, Pascal Kerschke, Krzysztof Krawiec, Per Kristian Lehre, Xiaodong Li, Andrei Lissovoi, Pekka Malo, Luis Martí, Yi Mei, Juan Julián Merelo Guervós, Julian F. Miller, Alberto Moraglio, Antonio J. Nebro, Su Nguyen, Gabriela Ochoa, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Marc Schoenauer, Roman Senkerik, Ankur Sinha, Ofer M. Shir, Dirk Sudholt, L. Darrell Whitley, Mark Wineberg, John R. Woodward, Mengjie Zhang:
Tutorials at PPSN 2018. 477-489 - Robin C. Purshouse, Christine Zarges, Sylvain Cussat-Blanc, Michael G. Epitropakis, Marcus Gallagher, Thomas Jansen, Pascal Kerschke, Xiaodong Li, Fernando G. Lobo, Julian F. Miller, Pietro S. Oliveto, Mike Preuss, Giovanni Squillero, Alberto Paolo Tonda, Markus Wagner, Thomas Weise, Dennis Wilson, Borys Wróbel, Ales Zamuda:
Workshops at PPSN 2018. 490-497
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