PPSN

Publications

2016

Benjamin Doerr, Carola Doerr, Jing Yang
k-Bit Mutation with Self-Adjusting k Outperforms Standard Bit Mutation. PPSN (2016)
Stjepan Picek, Dominik Sisejkovic, Vladimir Rozic, Bohan Yang, Domagoj Jakobovic, Nele Mentens
Evolving Cryptographic Pseudorandom Number Generators. PPSN (2016)
Weijie Zheng, Haohuan Fu, Guangwen Yang
TADE: Tight Adaptive Differential Evolution. PPSN (2016)
Michael Hellwig, Hans-Georg Beyer
Evolution Under Strong Noise: A Self-Adaptive Evolution Strategy Can Reach the Lower Performance Bound - The pcCMSA-ES. PPSN (2016)
Eric O. Scott, Kenneth A. De Jong
Landscape Features for Computationally Expensive Evaluation Functions: Revisiting the Problem of Noise. PPSN (2016)
William B. Langdon, Justyna Petke, Bobby R. Bruce
Optimising Quantisation Noise in Energy Measurement. PPSN (2016)
Duc-Cuong Dang, Per Kristian Lehre
Self-adaptation of Mutation Rates in Non-elitist Populations. PPSN (2016)
Ryoji Tanabe, Alex Fukunaga
How Far Are We from an Optimal, Adaptive DE? PPSN (2016)
Thomas Jansen, Christine Zarges
Example Landscapes to Support Analysis of Multimodal Optimisation. PPSN (2016)
Francesco Marino, Giovanni Squillero, Alberto Paolo Tonda
A General-Purpose Framework for Genetic Improvement. PPSN (2016)
Sebastian Herrmann, Gabriela Ochoa, Franz Rothlauf
Coarse-Grained Barrier Trees of Fitness Landscapes. PPSN (2016)
Renato Tinós, Shengxiang Yang
Artificially Inducing Environmental Changes in Evolutionary Dynamic Optimization. PPSN (2016)
Benjamin Doerr, Carola Doerr, Timo Kötzing
Provably Optimal Self-adjusting Step Sizes for Multi-valued Decision Variables. PPSN (2016)
Jürgen Branke, Xin Fei
Efficient Sampling When Searching for Robust Solutions. PPSN (2016)
Andreia P. Guerreiro, Carlos M. Fonseca
Hypervolume Sharpe-Ratio Indicator: Formalization and First Theoretical Results. PPSN (2016)
Wanru Gao, Tobias Friedrich, Frank Neumann
Fixed-Parameter Single Objective Search Heuristics for Minimum Vertex Cover. PPSN (2016)
Jesús Guillermo Falcón-Cardona, Carlos A. Coello Coello
iMOACO _\mathbb R : A New Indicator-Based Multi-objective Ant Colony Optimization Algorithm for Continuous Search Spaces. PPSN (2016)
Duc-Cuong Dang, Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Per Kristian Lehre, Pietro S. Oliveto, Dirk Sudholt, Andrew M. Sutton
Emergence of Diversity and Its Benefits for Crossover in Genetic Algorithms. PPSN (2016)
Stefano Nichele, Tom Eivind Glover, Gunnar Tufte
Genotype Regulation by Self-modifying Instruction-Based Development on Cellular Automata. PPSN (2016)
Shouyong Jiang, Shengxiang Yang
Convergence Versus Diversity in Multiobjective Optimization. PPSN (2016)
Xiaofen Lu, Ke Tang, Xin Yao
Speciated Evolutionary Algorithm for Dynamic Constrained Optimisation. PPSN (2016)
Tinkle Chugh, Karthik Sindhya, Kaisa Miettinen, Jussi Hakanen, Yaochu Jin
On Constraint Handling in Surrogate-Assisted Evolutionary Many-Objective Optimization. PPSN (2016)
Francisco Fernández de Vega, Francisco Chávez de la O, Josefa Díaz, Juan Ángel García, Pedro A. Castillo, Juan Julián Merelo Guervós, Carlos Cotta
A Cross-Platform Assessment of Energy Consumption in Evolutionary Algorithms - Towards Energy-Aware Bioinspired Algorithms. PPSN (2016)
Luis Martí, Arsène Fansi Tchango, Laurent Navarro, Marc Schoenauer
Anomaly Detection with the Voronoi Diagram Evolutionary Algorithm. PPSN (2016)
Brad Alexander, Connie Pyromallis, George Lorenzetti, Brad Zacher
Using Scaffolding with Partial Call-Trees to Improve Search. PPSN (2016)
Hisao Ishibuchi, Ken Doi, Yusuke Nojima
Use of Piecewise Linear and Nonlinear Scalarizing Functions in MOEA/D. PPSN (2016)
Zbynek Pitra, Lukás Bajer, Martin Holena
Doubly Trained Evolution Control for the Surrogate CMA-ES. PPSN (2016)
Davy Smith, Laurissa N. Tokarchuk, Geraint A. Wiggins
Rapid Phenotypic Landscape Exploration Through Hierarchical Spatial Partitioning. PPSN (2016)
William B. Langdon
Kin Selection with Twin Genetic Programming. PPSN (2016)
Borys Wróbel
Evolution of Spiking Neural Networks Robust to Noise and Damage for Control of Simple Animats. PPSN (2016)
Xiuli Wu, Pietro A. Consoli, Leandro L. Minku, Gabriela Ochoa, Xin Yao
An Evolutionary Hyper-heuristic for the Software Project Scheduling Problem. PPSN (2016)
David J. Walker, Ed Keedwell
Towards Many-Objective Optimisation with Hyper-heuristics: Identifying Good Heuristics with Indicators. PPSN (2016)
Edgar Manoatl López, Carlos A. Coello Coello
A Parallel Multi-objective Memetic Algorithm Based on the IGD+ Indicator. PPSN (2016)
Dusan Hrabec, Pavel Popela, Jan Roupec
WS Network Design Problem with Nonlinear Pricing Solved by Hybrid Algorithm. PPSN (2016)
Yuichi Nagata
Population Diversity Measures Based on Variable-Order Markov Models for the Traveling Salesman Problem. PPSN (2016)
Ke Li, Mohammad Nabi Omidvar, Kalyanmoy Deb, Xin Yao
Variable Interaction in Multi-objective Optimization Problems. PPSN (2016)
Edgar Galván López, Efrén Mezura-Montes, Ouassim Ait ElHara, Marc Schoenauer
On the Use of Semantics in Multi-objective Genetic Programming. PPSN (2016)
Sam Kriegman, Marcin Szubert, Josh C. Bongard, Christian Skalka
Evolving Spatially Aggregated Features from Satellite Imagery for Regional Modeling. PPSN (2016)
Zhenhua Li, Qingfu Zhang
What Does the Evolution Path Learn in CMA-ES? PPSN (2016)
Francisco A. L. Manfrini, Heder S. Bernardino, Helio J. C. Barbosa
A Novel Efficient Mutation for Evolutionary Design of Combinational Logic Circuits. PPSN (2016)
Dirk V. Arnold
An Active-Set Evolution Strategy for Optimization with Known Constraints. PPSN (2016)
Dídac Rodríguez Arbonès, Boyin Ding, Nataliia Y. Sergiienko, Markus Wagner
Fast and Effective Multi-objective Optimisation of Submerged Wave Energy Converters. PPSN (2016)
Wanru Gao, Samadhi Nallaperuma, Frank Neumann
Feature-Based Diversity Optimization for Problem Instance Classification. PPSN (2016)
Chao Qian, Ke Tang, Zhi-Hua Zhou
Selection Hyper-heuristics Can Provably Be Helpful in Evolutionary Multi-objective Optimization. PPSN (2016)
Mayowa Ayodele, John A. W. McCall, Olivier Regnier-Coudert
RK-EDA: A Novel Random Key Based Estimation of Distribution Algorithm. PPSN (2016)
Christopher Jankee, Sébastien Vérel, Bilel Derbel, Cyril Fonlupt
A Fitness Cloud Model for Adaptive Metaheuristic Selection Methods. PPSN (2016)
Jacob Soderlund, Darwin Vickers, Alan Blair
Parallel Hierarchical Evolution of String Library Functions. PPSN (2016)
Ryan J. Urbanowicz, Randal S. Olson, Jason H. Moore
Pareto Inspired Multi-objective Rule Fitness for Noise-Adaptive Rule-Based Machine Learning. PPSN (2016)
Rafael Nogueras, Carlos Cotta
A Study of the Performance of Self-★ Memetic Algorithms on Heterogeneous Ephemeral Environments. PPSN (2016)

volume 9921, 2016

Parallel Problem Solving from Nature - PPSN XIV - 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings PPSN 9921 (2016)