PPSN (2)

Keyphrases

Publications

2022

Xinpeng Long, Michael Kampouridis, Panagiotis Kanellopoulos
Genetic Programming for Combining Directional Changes Indicators in International Stock Markets. PPSN (2) (2022)
Damy M. F. Ha, Timo M. Deist, Peter A. N. Bosman
Hybridizing Hypervolume-Based Evolutionary Algorithms and Gradient Descent by Dynamic Resource Allocation. PPSN (2) (2022)
Longcan Chen, Lie Meng Pang, Hisao Ishibuchi
New Solution Creation Operator in MOEA/D for Faster Convergence. PPSN (2) (2022)
Tobias Friedrich, Timo Kötzing, Frank Neumann, Aishwarya Radhakrishnan
Theoretical Study of Optimizing Rugged Landscapes with the cGA. PPSN (2) (2022)
Katarzyna Grzesiak-Kopec, Barbara Strug, Grazyna Slusarczyk
Specification-Driven Evolution of Floor Plan Design. PPSN (2) (2022)
Brahim Aboutaib, Andrew M. Sutton
Runtime Analysis of Unbalanced Block-Parallel Evolutionary Algorithms. PPSN (2) (2022)
Benjamin Doerr, Marc Dufay
General Univariate Estimation-of-Distribution Algorithms. PPSN (2) (2022)
Vijay Dhanjibhai Bhuva, Duc-Cuong Dang, Liam Huber, Dirk Sudholt
Evolutionary Algorithms for Cardinality-Constrained Ising Models. PPSN (2) (2022)
Shuang Li, Ke Li, Wei Li
Do We Really Need to Use Constraint Violation in Constrained Evolutionary Multi-objective Optimization? PPSN (2) (2022)
Dmitry Vinokurov, Maxim Buzdalov
Towards Fixed-Target Black-Box Complexity Analysis. PPSN (2) (2022)
Yue Xie, Aneta Neumann, Ty Stanford, Charlotte Lund Rasmussen, Dorothea Dumuid, Frank Neumann
Evolutionary Time-Use Optimization for Improving Children's Health Outcomes. PPSN (2) (2022)
Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Amirhossein Rajabi
Escaping Local Optima with Local Search: A Theory-Driven Discussion. PPSN (2) (2022)
Giomara Lárraga, Kaisa Miettinen
A General Architecture for Generating Interactive Decomposition-Based MOEAs. PPSN (2) (2022)
Qiqi Duan, Guochen Zhou, Chang Shao, Yijun Yang, Yuhui Shi
Collective Learning of Low-Memory Matrix Adaptation for Large-Scale Black-Box Optimization. PPSN (2) (2022)
Zi-An Zhang, Chao Bian, Chao Qian
Running Time Analysis of the (1+1)-EA Using Surrogate Models on OneMax and LeadingOnes. PPSN (2) (2022)
Roman Kalkreuth
Towards Discrete Phenotypic Recombination in Cartesian Genetic Programming. PPSN (2) (2022)
Adam Gaier, James Stoddart, Lorenzo Villaggi, Peter J. Bentley
T-DominO - Exploring Multiple Criteria with Quality-Diversity and the Tournament Dominance Objective. PPSN (2) (2022)
Feng Shi, Xiankun Yan, Frank Neumann
Runtime Analysis of Simple Evolutionary Algorithms for the Chance-Constrained Makespan Scheduling Problem. PPSN (2) (2022)
Zihan Wang, Chunyun Xiao, Aimin Zhou
An Exact Inverted Generational Distance for Continuous Pareto Front. PPSN (2) (2022)
Marc Kaufmann, Maxime Larcher, Johannes Lengler, Xun Zou
Self-adjusting Population Sizes for the (1, λ )-EA on Monotone Functions. PPSN (2) (2022)
Hemant Kumar Singh, Jürgen Branke
Identifying Stochastically Non-dominated Solutions Using Evolutionary Computation. PPSN (2) (2022)
James Brookhouse, Alex Alves Freitas
Fair Feature Selection with a Lexicographic Multi-objective Genetic Algorithm. PPSN (2) (2022)
Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang
Importance-Aware Genetic Programming for Automated Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling. PPSN (2) (2022)
Oswin Krause
Recombination Weight Based Selection in the DTS-CMA-ES. PPSN (2) (2022)
Hammad Ahmad, Padraic Cashin, Stephanie Forrest, Westley Weimer
Digging into Semantics: Where Do Search-Based Software Repair Methods Search? PPSN (2) (2022)
César Loaiza Quintana, Laura Climent, Alejandro Arbelaez
Iterated Local Search for the eBuses Charging Location Problem. PPSN (2) (2022)
Diana Cristina Valencia-Rodríguez, Carlos Artemio Coello Coello
Multi-Objective Evolutionary Algorithm Based on the Linear Assignment Problem and the Hypervolume Approximation Using Polar Coordinates (MOEA-LAPCO). PPSN (2) (2022)
Yiming Peng, Hisao Ishibuchi
Dynamic Multi-modal Multi-objective Optimization: A Preliminary Study. PPSN (2) (2022)
Amir Omeradzic, Hans-Georg Beyer
Progress Rate Analysis of Evolution Strategies on the Rastrigin Function: First Results. PPSN (2) (2022)
Guojun Gao, Lei Qiao, Dong Liu, Shifei Chen, He Jiang
Surrogate-Assisted Multi-objective Optimization for Compiler Optimization Sequence Selection. PPSN (2) (2022)
Duri Janett, Johannes Lengler
Two-Dimensional Drift Analysis: - Optimizing Two Functions Simultaneously Can Be Hard. PPSN (2) (2022)
Renzo J. Scholman, Anton Bouter, Leah R. M. Dickhoff, Tanja Alderliesten, Peter A. N. Bosman
Obtaining Smoothly Navigable Approximation Sets in Bi-objective Multi-modal Optimization. PPSN (2) (2022)
Benjamin Doerr, Zhongdi Qu
A First Runtime Analysis of the NSGA-II on a Multimodal Problem. PPSN (2) (2022)
Tianye Shu, Ke Shang, Yang Nan, Hisao Ishibuchi
Direction Vector Selection for R2-Based Hypervolume Contribution Approximation. PPSN (2) (2022)
Chao Bian, Chao Qian
Better Running Time of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) by Using Stochastic Tournament Selection. PPSN (2) (2022)
Adán José García, Julie Jacques, Alexandre Filiot, Julia Handl, David Launay, Vincent Sobanski, Clarisse Dhaenens
Multi-view Clustering of Heterogeneous Health Data: Application to Systemic Sclerosis. PPSN (2) (2022)
Frank Neumann, Carsten Witt
Runtime Analysis of the (1+1) EA on Weighted Sums of Transformed Linear Functions. PPSN (2) (2022)
Elia Cunegatti, Giovanni Iacca, Doina Bucur
Large-Scale Multi-objective Influence Maximisation with Network Downscaling. PPSN (2) (2022)
Tobias Glasmachers
The (1+1)-ES Reliably Overcomes Saddle Points. PPSN (2) (2022)
Adel Nikfarjam, Anh Viet Do, Frank Neumann
Analysis of Quality Diversity Algorithms for the Knapsack Problem. PPSN (2) (2022)
Thomas Helmuth, Johannes Lengler, William G. La Cava
Population Diversity Leads to Short Running Times of Lexicase Selection. PPSN (2) (2022)
Andrzej Jaszkiewicz, Piotr Zielniewicz
Greedy Decremental Quick Hypervolume Subset Selection Algorithms. PPSN (2) (2022)
Joe Harrison, Tanja Alderliesten, Peter A. N. Bosman
Gene-pool Optimal Mixing in Cartesian Genetic Programming. PPSN (2) (2022)

volume 13399, 2022

Parallel Problem Solving from Nature - PPSN XVII - 17th International Conference, PPSN 2022, Dortmund, Germany, September 10-14, 2022, Proceedings, Part II PPSN (2) 13399 (2022)

2020

volume 12270, 2020

Parallel Problem Solving from Nature - PPSN XVI - 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part II PPSN (2) 12270 (2020)