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Publication search results
found 51 matches
- 2020
- Omar Abdelkafi, Bilel Derbel, Arnaud Liefooghe, Darrell Whitley:
On the Design of a Partition Crossover for the Quadratic Assignment Problem. PPSN (1) 2020: 303-316 - Youhei Akimoto, Naoki Sakamoto, Makoto Ohtani:
Multi-fidelity Optimization Approach Under Prior and Posterior Constraints and Its Application to Compliance Minimization. PPSN (1) 2020: 81-94 - Marie Anastacio, Holger H. Hoos:
Model-Based Algorithm Configuration with Default-Guided Probabilistic Sampling. PPSN (1) 2020: 95-110 - Mohammad Bagherbeik, Parastoo Ashtari, Seyed Farzad Mousavi, Kouichi Kanda, Hirotaka Tamura, Ali Sheikholeslami:
A Permutational Boltzmann Machine with Parallel Tempering for Solving Combinatorial Optimization Problems. PPSN (1) 2020: 317-331 - Ying Bi, Bing Xue, Mengjie Zhang:
Evolving Deep Forest with Automatic Feature Extraction for Image Classification Using Genetic Programming. PPSN (1) 2020: 3-18 - Marcin Bialas, Marcin Michal Mironczuk, Jacek Mandziuk:
Biologically Plausible Learning of Text Representation with Spiking Neural Networks. PPSN (1) 2020: 433-447 - Léa Blaise, Christian Artigues, Thierry Benoist:
Solution Repair by Inequality Network Propagation in LocalSolver. PPSN (1) 2020: 332-345 - Jakob Bossek, Carola Doerr, Pascal Kerschke, Aneta Neumann, Frank Neumann:
Evolving Sampling Strategies for One-Shot Optimization Tasks. PPSN (1) 2020: 111-124 - Jakob Bossek, Aneta Neumann, Frank Neumann:
Optimising Tours for the Weighted Traveling Salesperson Problem and the Traveling Thief Problem: A Structural Comparison of Solutions. PPSN (1) 2020: 346-359 - Weiyu Chen, Hisao Ishibuchi, Ke Shang:
Proposal of a Realistic Many-Objective Test Suite. PPSN (1) 2020: 201-214 - Lee A. Christie:
Decentralized Combinatorial Optimization. PPSN (1) 2020: 360-372 - Margarita Alejandra Rebolledo Coy, Frederik Rehbach, A. E. Eiben, Thomas Bartz-Beielstein:
Parallelized Bayesian Optimization for Expensive Robot Controller Evolution. PPSN (1) 2020: 243-256 - Susanne Dandl, Christoph Molnar, Martin Binder, Bernd Bischl:
Multi-Objective Counterfactual Explanations. PPSN (1) 2020: 448-469 - Nicola Mc Donnell, Enda Howley, Jim Duggan:
Evolved Gossip Contracts - A Framework for Designing Multi-agent Systems. PPSN (1) 2020: 637-649 - Stephen Friess, Peter Tiño, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
Improving Sampling in Evolution Strategies Through Mixture-Based Distributions Built from Past Problem Instances. PPSN (1) 2020: 583-596 - Guoxia Fu, Chaoli Sun, Ying Tan, Guochen Zhang, Yaochu Jin:
A Surrogate-Assisted Evolutionary Algorithm with Random Feature Selection for Large-Scale Expensive Problems. PPSN (1) 2020: 125-139 - Tobias Glasmachers, Oswin Krause:
The Hessian Estimation Evolution Strategy. PPSN (1) 2020: 597-609 - Alexander Hagg, Dominik Wilde, Alexander Asteroth, Thomas Bäck:
Designing Air Flow with Surrogate-Assisted Phenotypic Niching. PPSN (1) 2020: 140-153 - George T. Hall, Pietro S. Oliveto, Dirk Sudholt:
Fast Perturbative Algorithm Configurators. PPSN (1) 2020: 19-32 - Wenjing Hong, Peng Yang, Yiwen Wang, Ke Tang:
Multi-objective Magnitude-Based Pruning for Latency-Aware Deep Neural Network Compression. PPSN (1) 2020: 470-483 - Shengxiang Hu, Bofeng Zhang, Ying Lv, Furong Chang, Zhuocheng Zhou:
Network Representation Learning Based on Topological Structure and Vertex Attributes. PPSN (1) 2020: 484-497 - Andrzej Jaszkiewicz, Robert Susmaga, Piotr Zielniewicz:
Approximate Hypervolume Calculation with Guaranteed or Confidence Bounds. PPSN (1) 2020: 215-228 - Stanislaw Kazmierczak, Jacek Mandziuk:
A Committee of Convolutional Neural Networks for Image Classification in the Concurrent Presence of Feature and Label Noise. PPSN (1) 2020: 498-511 - Jiawen Kong, Wojtek Kowalczyk, Stefan Menzel, Thomas Bäck:
Improving Imbalanced Classification by Anomaly Detection. PPSN (1) 2020: 512-523 - Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck:
Can Compact Optimisation Algorithms Be Structurally Biased? PPSN (1) 2020: 229-242 - Johannes Lengler, Jonas Meier:
Large Population Sizes and Crossover Help in Dynamic Environments. PPSN (1) 2020: 610-622 - Arnaud Liefooghe, Sébastien Vérel, Bilel Derbel, Hernán E. Aguirre, Kiyoshi Tanaka:
Dominance, Indicator and Decomposition Based Search for Multi-objective QAP: Landscape Analysis and Automated Algorithm Selection. PPSN (1) 2020: 33-47 - Pawel Liskowski, Krzysztof Krawiec, Nihat Engin Toklu:
Neuromemetic Evolutionary Optimization. PPSN (1) 2020: 623-636 - Chuan Luo, Holger H. Hoos, Shaowei Cai:
PbO-CCSAT: Boosting Local Search for Satisfiability Using Programming by Optimisation. PPSN (1) 2020: 373-389 - Lily Major, Amanda Clare, Jacqueline W. Daykin, Benjamin Mora, Leonel Jose Peña Gamboa, Christine Zarges:
Evaluation of a Permutation-Based Evolutionary Framework for Lyndon Factorizations. PPSN (1) 2020: 390-403
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