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14th PPSN 2016: Edinburgh, UK
- Julia Handl, Emma Hart, Peter R. Lewis
, Manuel López-Ibáñez, Gabriela Ochoa
Parallel Problem Solving from Nature - PPSN XIV - 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings. Lecture Notes in Computer Science 9921, Springer 2016, ISBN 978-3-319-45822-9
Adaptation, Self-adaptation and Parameter Tuning
- Youhei Akimoto, Nikolaus Hansen
Online Model Selection for Restricted Covariance Matrix Adaptation. 3-13 - Stefano Nichele, Tom Eivind Glover, Gunnar Tufte
Genotype Regulation by Self-modifying Instruction-Based Development on Cellular Automata. 14-25 - Michael Hellwig
Evolution Under Strong Noise: A Self-Adaptive Evolution Strategy Can Reach the Lower Performance Bound - The pcCMSA-ES. 26-36 - Xiuli Wu, Pietro A. Consoli, Leandro L. Minku
An Evolutionary Hyper-heuristic for the Software Project Scheduling Problem. 37-47 - Willem den Besten, Dirk Thierens, Peter A. N. Bosman:
The Multiple Insertion Pyramid: A Fast Parameter-Less Population Scheme. 48-58 - Zbynek Pitra, Lukás Bajer
Doubly Trained Evolution Control for the Surrogate CMA-ES. 59-68 - Martin Zaefferer, Thomas Bartz-Beielstein
Efficient Global Optimization with Indefinite Kernels. 69-79 - Christopher Jankee, Sébastien Vérel
A Fitness Cloud Model for Adaptive Metaheuristic Selection Methods. 80-90 - Rafael Nogueras
A Study of the Performance of Self-★ Memetic Algorithms on Heterogeneous Ephemeral Environments. 91-100 - Claudia R. Correa, Elizabeth F. Wanner
Lyapunov Design of a Simple Step-Size Adaptation Strategy Based on Success. 101-110
Differential Evolution and Swarm Intelligence
- Weijie Zheng, Haohuan Fu, Guangwen Yang:
TADE: Tight Adaptive Differential Evolution. 113-122 - Marco Baioletti, Alfredo Milani
An Extension of Algebraic Differential Evolution for the Linear Ordering Problem with Cumulative Costs. 123-133 - Eduardo Lalla-Ruiz
Analysing the Performance of Migrating Birds Optimisation Approaches for Large Scale Continuous Problems. 134-144 - Ryoji Tanabe, Alex Fukunaga:
How Far Are We from an Optimal, Adaptive DE? 145-155 - Nacim Belkhir, Johann Dréo, Pierre Savéant, Marc Schoenauer
Feature Based Algorithm Configuration: A Case Study with Differential Evolution. 156-166 - Carlos M. Fernandes, Juan Julián Merelo Guervós
An Asynchronous and Steady State Update Strategy for the Particle Swarm Optimization Algorithm. 167-177
Dynamic, Uncertain and Constrained Environments
- Asma Atamna
Augmented Lagrangian Constraint Handling for CMA-ES - Case of a Single Linear Constraint. 181-191 - Dirk V. Arnold
An Active-Set Evolution Strategy for Optimization with Known Constraints. 192-202 - Xiaofen Lu, Ke Tang, Xin Yao
Speciated Evolutionary Algorithm for Dynamic Constrained Optimisation. 203-213 - Tinkle Chugh
On Constraint Handling in Surrogate-Assisted Evolutionary Many-Objective Optimization. 214-224 - Renato Tinós
Artificially Inducing Environmental Changes in Evolutionary Dynamic Optimization. 225-236 - Jürgen Branke, Xin Fei
Efficient Sampling When Searching for Robust Solutions. 237-246
Genetic Programming
- William B. Langdon, Justyna Petke
Optimising Quantisation Noise in Energy Measurement. 249-259 - Alberto Bartoli
Syntactical Similarity Learning by Means of Grammatical Evolution. 260-269 - Pak-Kan Wong, Man-Leung Wong, Kwong-Sak Leung:
Hierarchical Knowledge in Self-Improving Grammar-Based Genetic Programming. 270-280 - Jacob Soderlund, Darwin Vickers, Alan Blair
Parallel Hierarchical Evolution of String Library Functions. 281-291 - Ann Thorhauer:
On the Non-uniform Redundancy in Grammatical Evolution. 292-302 - Thi Huong Chu, Quang Uy Nguyen, Michael O'Neill
Tournament Selection Based on Statistical Test in Genetic Programming. 303-312 - William B. Langdon:
Kin Selection with Twin Genetic Programming. 313-323 - Brad Alexander, Connie Pyromallis, George Lorenzetti, Brad Zacher:
Using Scaffolding with Partial Call-Trees to Improve Search. 324-334 - Martin Pilát
Feature Extraction for Surrogate Models in Genetic Programming. 335-344 - Francesco Marino, Giovanni Squillero, Alberto Paolo Tonda
A General-Purpose Framework for Genetic Improvement. 345-352 - Edgar Galván López, Efrén Mezura-Montes
On the Use of Semantics in Multi-objective Genetic Programming. 353-363 - Marcin Szubert, Anuradha Kodali, Sangram Ganguly, Kamalika Das, Josh C. Bongard:
Semantic Forward Propagation for Symbolic Regression. 364-374 - Luiz Otávio Vilas Boas Oliveira, Luis Fernando Miranda, Gisele L. Pappa, Fernando E. B. Otero, Ricardo H. C. Takahashi
Reducing Dimensionality to Improve Search in Semantic Genetic Programming. 375-385
Multi-objective, Many-objective and Multi-level Optimisation
- Jesús Guillermo Falcón-Cardona
iMOACO _\mathbb R : A New Indicator-Based Multi-objective Ant Colony Optimization Algorithm for Continuous Search Spaces. 389-398 - Ke Li
Variable Interaction in Multi-objective Optimization Problems. 399-409 - Ke Lu, Jürgen Branke, Tapabrata Ray
Improving Efficiency of Bi-level Worst Case Optimization. 410-420 - Daniel Horn, Karin Schork
Multi-objective Selection of Algorithm Portfolios: Experimental Validation. 421-430 - Bilel Derbel, Arnaud Liefooghe
Multi-objective Local Search Based on Decomposition. 431-441 - Zhilei Ren, He Jiang, Jifeng Xuan
Analyzing Inter-objective Relationships: A Case Study of Software Upgradability. 442-452 - Koen van der Blom
Multicriteria Building Spatial Design with Mixed Integer Evolutionary Algorithms. 453-462 - Erella Matalon Eisenstadt, Amiram Moshaiov, Gideon Avigad:
The Competing Travelling Salespersons Problem Under Multi-criteria. 463-472 - Edgar Manoatl López, Carlos A. Coello Coello
A Parallel Multi-objective Memetic Algorithm Based on the IGD+ Indicator. 473-482 - Vesa Ojalehto, Dmitry Podkopaev
Towards Automatic Testing of Reference Point Based Interactive Methods. 483-492 - David J. Walker
Towards Many-Objective Optimisation with Hyper-heuristics: Identifying Good Heuristics with Indicators. 493-502 - Hisao Ishibuchi, Ken Doi, Yusuke Nojima
Use of Piecewise Linear and Nonlinear Scalarizing Functions in MOEA/D. 503-513 - Ryan J. Urbanowicz
Pareto Inspired Multi-objective Rule Fitness for Noise-Adaptive Rule-Based Machine Learning. 514-524 - Luis Miguel Antonio, Carlos A. Coello Coello
Decomposition-Based Approach for Solving Large Scale Multi-objective Problems. 525-534
Parallel Algorithms and Hardware Issues
- Emily L. Rounds, Eric O. Scott, Andrew S. Alexander, Kenneth A. De Jong, Douglas A. Nitz, Jeffrey L. Krichmar
An Evolutionary Framework for Replicating Neurophysiological Data with Spiking Neural Networks. 537-547 - Francisco Fernández de Vega, Francisco Chávez de la O
A Cross-Platform Assessment of Energy Consumption in Evolutionary Algorithms - Towards Energy-Aware Bioinspired Algorithms. 548-557 - Simon Wessing, Günter Rudolph, Dino A. Menges:
Comparing Asynchronous and Synchronous Parallelization of the SMS-EMOA. 558-567 - Raquel Hernández Gómez, Carlos A. Coello Coello
A Parallel Version of SMS-EMOA for Many-Objective Optimization Problems. 568-577
Real-World Applications and Modelling
- Randal S. Olson, Jason H. Moore
Evolution of Active Categorical Image Classification via Saccadic Eye Movement. 581-590 - Jorge C. Gomes
Cooperative Coevolution of Control for a Real Multirobot System. 591-601 - Amit Benbassat, Avishai Henik
Replicating the Stroop Effect Using a Developmental Spatial Neuroevolution System. 602-612 - Stjepan Picek, Dominik Sisejkovic, Vladimir Rozic, Bohan Yang, Domagoj Jakobovic
Evolving Cryptographic Pseudorandom Number Generators. 613-622 - Nathaniel Powell, Josh C. Bongard:
Exploring Uncertainty and Movement in Categorical Perception Using Robots. 623-632 - Rodica Ioana Lung
Community Structure Detection for the Functional Connectivity Networks of the Brain. 633-643 - Eléonore Vissol-Gaudin
Data Classification Using Carbon-Nanotubes and Evolutionary Algorithms. 644-654 - Dusan Hrabec
WS Network Design Problem with Nonlinear Pricing Solved by Hybrid Algorithm. 655-664 - Francisco A. L. Manfrini, Heder S. Bernardino
A Novel Efficient Mutation for Evolutionary Design of Combinational Logic Circuits. 665-674 - Dídac Rodríguez Arbonès, Boyin Ding
Fast and Effective Multi-objective Optimisation of Submerged Wave Energy Converters. 675-685 - Borys Wróbel
Evolution of Spiking Neural Networks Robust to Noise and Damage for Control of Simple Animats. 686-696 - Luis Martí
Anomaly Detection with the Voronoi Diagram Evolutionary Algorithm. 697-706 - Sam Kriegman, Marcin Szubert, Josh C. Bongard, Christian Skalka:
Evolving Spatially Aggregated Features from Satellite Imagery for Regional Modeling. 707-716 - Van Loi Cao
A Hybrid Autoencoder and Density Estimation Model for Anomaly Detection. 717-726
Theory
- Mojgan Pourhassan, Feng Shi, Frank Neumann
Parameterized Analysis of Multi-objective Evolutionary Algorithms and the Weighted Vertex Cover Problem. 729-739 - Wanru Gao, Tobias Friedrich, Frank Neumann
Fixed-Parameter Single Objective Search Heuristics for Minimum Vertex Cover. 740-750 - Zhenhua Li, Qingfu Zhang
What Does the Evolution Path Learn in CMA-ES? 751-760 - Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Andrew M. Sutton
Graceful Scaling on Uniform Versus Steep-Tailed Noise. 761-770 - Tobias Friedrich, Timo Kötzing, Andrew M. Sutton
On the Robustness of Evolving Populations. 771-781 - Benjamin Doerr, Carola Doerr, Timo Kötzing:
Provably Optimal Self-adjusting Step Sizes for Multi-valued Decision Variables. 782-791 - Thomas Jansen, Christine Zarges:
Example Landscapes to Support Analysis of Multimodal Optimisation. 792-802 - Duc-Cuong Dang, Per Kristian Lehre:
Self-adaptation of Mutation Rates in Non-elitist Populations. 803-813 - Andreia P. Guerreiro
Hypervolume Sharpe-Ratio Indicator: Formalization and First Theoretical Results. 814-823 - Benjamin Doerr, Carola Doerr, Jing Yang:
k-Bit Mutation with Self-Adjusting k Outperforms Standard Bit Mutation. 824-834 - Chao Qian, Ke Tang, Zhi-Hua Zhou:
Selection Hyper-heuristics Can Provably Be Helpful in Evolutionary Multi-objective Optimization. 835-846
Diversity and Landscape Analysis
- Mayowa Ayodele
RK-EDA: A Novel Random Key Based Estimation of Distribution Algorithm. 849-858 - Momodou L. Sanyang, Ata Kabán:
REMEDA: Random Embedding EDA for Optimising Functions with Intrinsic Dimension. 859-868 - Wanru Gao, Samadhi Nallaperuma, Frank Neumann
Feature-Based Diversity Optimization for Problem Instance Classification. 869-879 - Justin K. Pugh, Lisa B. Soros, Kenneth O. Stanley:
Searching for Quality Diversity When Diversity is Unaligned with Quality. 880-889 - Duc-Cuong Dang, Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Per Kristian Lehre, Pietro S. Oliveto
Emergence of Diversity and Its Benefits for Crossover in Genetic Algorithms. 890-900 - Sebastian Herrmann
Coarse-Grained Barrier Trees of Fitness Landscapes. 901-910 - Davy Smith, Laurissa N. Tokarchuk, Geraint A. Wiggins:
Rapid Phenotypic Landscape Exploration Through Hierarchical Spatial Partitioning. 911-920 - Andreas Steyven, Emma Hart, Ben Paechter:
Understanding Environmental Influence in an Open-Ended Evolutionary Algorithm. 921-931 - Khulood AlYahya, Jonathan E. Rowe:
Simple Random Sampling Estimation of the Number of Local Optima. 932-941 - Justin J. Kelly, Christian Jacob:
evoVision3D: A Multiscale Visualization of Evolutionary Histories. 942-951 - Eric O. Scott, Kenneth A. De Jong:
Landscape Features for Computationally Expensive Evaluation Functions: Revisiting the Problem of Noise. 952-961 - Pascal Kerschke
Towards Analyzing Multimodality of Continuous Multiobjective Landscapes. 962-972 - Yuichi Nagata:
Population Diversity Measures Based on Variable-Order Markov Models for the Traveling Salesman Problem. 973-983 - Shouyong Jiang
Convergence Versus Diversity in Multiobjective Optimization. 984-993 - Nadarajen Veerapen
Tunnelling Crossover Networks for the Asymmetric TSP. 994-1003
Workshops and Tutorials at PPSN 2016
- Christian Blum
The Workshops at PPSN 2016. 1007-1011 - Carola Doerr
Tutorials at PPSN 2016. 1012-1022
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