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2020 – today
- 2023
[j3]Yafei Li
, Qingshun Wu, Xin Huang, Jianliang Xu, Wanru Gao, Mingliang Xu:
Efficient Adaptive Matching for Real-Time City Express Delivery. IEEE Trans. Knowl. Data Eng. 35(6): 5767-5779 (2023)- [c13]Wanru Gao, Jiahao Li, Mingliang Xu:
Interactive Multiobjective Optimization of Airport Baggage Trolley Scheduling Based on NSGAII. MDM 2023: 291-296 - 2021
- [j2]Wanru Gao, Samadhi Nallaperuma, Frank Neumann:
Feature-Based Diversity Optimization for Problem Instance Classification. Evol. Comput. 29(1): 107-128 (2021) - 2020
- [j1]Edgar Covantes Osuna, Wanru Gao, Frank Neumann, Dirk Sudholt:
Design and analysis of diversity-based parent selection schemes for speeding up evolutionary multi-objective optimisation. Theor. Comput. Sci. 832: 123-142 (2020)
2010 – 2019
- 2019
- [c12]Wanru Gao, Mojgan Pourhassan, Vahid Roostapour, Frank Neumann:
Runtime Analysis of Evolutionary Multi-objective Algorithms Optimising the Degree and Diameter of Spanning Trees. EMO 2019: 504-515 - [c11]Aneta Neumann, Wanru Gao, Markus Wagner, Frank Neumann:
Evolutionary diversity optimization using multi-objective indicators. GECCO 2019: 837-845 - 2018
- [c10]Wanru Gao, Tobias Friedrich, Frank Neumann, Christian Hercher:
Randomized greedy algorithms for covering problems. GECCO 2018: 309-315 - [c9]Aneta Neumann, Wanru Gao, Carola Doerr, Frank Neumann, Markus Wagner:
Discrepancy-based evolutionary diversity optimization. GECCO 2018: 991-998 - [i4]Aneta Neumann, Wanru Gao, Carola Doerr, Frank Neumann, Markus Wagner:
Discrepancy-based Evolutionary Diversity Optimization. CoRR abs/1802.05448 (2018) - [i3]Edgar Covantes Osuna, Wanru Gao, Frank Neumann, Dirk Sudholt:
Design and Analysis of Diversity-Based Parent Selection Schemes for Speeding Up Evolutionary Multi-objective Optimisation. CoRR abs/1805.01221 (2018) - [i2]Aneta Neumann, Wanru Gao, Markus Wagner, Frank Neumann:
Evolutionary Diversity Optimization Using Multi-Objective Indicators. CoRR abs/1811.06804 (2018) - 2017
- [c8]Wanru Gao, Tobias Friedrich, Timo Kötzing, Frank Neumann:
Scaling up Local Search for Minimum Vertex Cover in Large Graphs by Parallel Kernelization. Australasian Conference on Artificial Intelligence 2017: 131-143 - [c7]Edgar Covantes Osuna, Wanru Gao, Frank Neumann, Dirk Sudholt:
Speeding up evolutionary multi-objective optimisation through diversity-based parent selection. GECCO 2017: 553-560 - 2016
- [c6]Benjamin Doerr, Wanru Gao, Frank Neumann:
Runtime Analysis of Evolutionary Diversity Maximization for OneMinMax. GECCO 2016: 557-564 - [c5]Wanru Gao, Tobias Friedrich, Frank Neumann:
Fixed-Parameter Single Objective Search Heuristics for Minimum Vertex Cover. PPSN 2016: 740-750 - [c4]Wanru Gao, Samadhi Nallaperuma, Frank Neumann:
Feature-Based Diversity Optimization for Problem Instance Classification. PPSN 2016: 869-879 - 2015
- [c3]Mojgan Pourhassan, Wanru Gao, Frank Neumann:
Maintaining 2-Approximations for the Dynamic Vertex Cover Problem Using Evolutionary Algorithms. GECCO 2015: 903-910 - [c2]Wanru Gao, Mojgan Pourhassan, Frank Neumann:
Runtime Analysis of Evolutionary Diversity Optimization and the Vertex Cover Problem. GECCO (Companion) 2015: 1395-1396 - [i1]Wanru Gao, Samadhi Nallaperuma, Frank Neumann:
Feature-Based Diversity Optimization for Problem Instance Classification. CoRR abs/1510.08568 (2015) - 2014
- [c1]Wanru Gao, Frank Neumann:
Runtime analysis for maximizing population diversity in single-objective optimization. GECCO 2014: 777-784
Coauthor Index
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