Papers
How the Duration of the Learning Period Affects the Performance of Random Gradient Selection Hyper-Heuristics
Andrei Lissovoi, Pietro Oliveto, John Alasdair Warwicker
Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems
Sami Khairy, Ruslan Shaydulin, Lukasz Cincio et al.
Runtime Analysis of Somatic Contiguous Hypermutation Operators in MOEA/D Framework
Zhengxin Huang, Yuren Zhou
Envelope-Based Approaches to Real-Time Heuristic Search
Kevin Gall, Bence Cserna, Wheeler Ruml
Local Search with Dynamic-Threshold Configuration Checking and Incremental Neighborhood Updating for Maximum k-plex Problem
Peilin Chen, Hai Wan, Shaowei Cai et al.
An Interactive Regret-Based Genetic Algorithm for Solving Multi-Objective Combinatorial Optimization Problems
Nawal Benabbou, Cassandre Leroy, Thibaut Lust
A Unifying View on Individual Bounds and Heuristic Inaccuracies in Bidirectional Search
Vidal Alcázar, Pat Riddle, Mike Barley
Computing Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games
Youzhi Zhang, Bo An
Computing Equilibria in Binary Networked Public Goods Games
Sixie Yu, Kai Zhou, Jeffrey Brantingham et al.
Algorithms for Manipulating Sequential Allocation
Mingyu Xiao, Jiaxing Ling
A Multi-Unit Profit Competitive Mechanism for Cellular Traffic Offloading
Jun Wu, Yu Qiao, Lei Zhang et al.
Deep Learning—Powered Iterative Combinatorial Auctions
Jakob Weissteiner, Sven Seuken
Bounded Incentives in Manipulating the Probabilistic Serial Rule
Zihe Wang, Zhide Wei, Jie Zhang
Nice Invincible Strategy for the Average-Payoff IPD
Shiheng Wang, Fangzhen Lin
Multi-Type Resource Allocation with Partial Preferences
Haibin Wang, Sujoy Sikdar, Xiaoxi Guo et al.
Path Planning Problems with Side Observations—When Colonels Play Hide-and-Seek
Dong Quan Vu, Patrick Loiseau, Alonso Silva et al.
Reinforcement Mechanism Design: With Applications to Dynamic Pricing in Sponsored Search Auctions
Weiran Shen, Binghui Peng, Hanpeng Liu et al.
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning
Shah Sanket, Arunesh Sinha, Pradeep Varakantham et al.
Comparing Election Methods Where Each Voter Ranks Only Few Candidates
Matthias Bentert, Piotr Skowron
Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours
Vedant Nanda, Pan Xu, Karthik Abhinav Sankararaman et al.
Practical Frank–Wolfe Method with Decision Diagrams for Computing Wardrop Equilibrium of Combinatorial Congestion Games
Kengo Nakamura, Shinsaku Sakaue, Norihito Yasuda
Robust Market Equilibria with Uncertain Preferences
Riley Murray, Christian Kroer, Alex Peysakhovich et al.
Price of Fairness in Budget Division and Probabilistic Social Choice
Marcin Michorzewski, Dominik Peters, Piotr Skowron
Can We Predict the Election Outcome from Sampled Votes?
Evi Micha, Nisarg Shah