Titlebook: Algorithmic Aspects in Information and Management; 18th International C Smita Ghosh,Zhao Zhang Conference proceedings 2024 The Editor(s) (i

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Quantum Annealing and GNN for Solving TSP with QUBO using Quantum Annealing (QA) and Graph Neural Networks (GNNs). Quantum Annealing leverages quantum tunneling to escape local minima, solving QUBO formulations of TSP on Coherent Ising Machines (CIMs). Additionally, we introduce a novel method that integrates QUBO as a loss function within a GNN fra

INTER

Task Planning for The Multi-center Heterogeneous Vehicle Pickup and Delivery Problemn. Accordingly, the multi-center heterogeneous vehicle pickup and delivery (MHVPD) problem has become a hot research topic. In the MHVPD problem, solving the collaborative relationship between heterogeneous vehicles is a very challenging problem. In this paper, we study the task planning among multi

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Fair Division with Weighted and Prioritized Agentsersion .-. . . . . (.1) and . .-. . . . . (.1) have been widely considered. First, a subset of agents is designated as priority agents, which may be the envious agents from previous allocations, and weights can quantify the rights of agents in allocating items. Motivated by this, we propose a new fa

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The Characterizations and Complexity of Roman {2}-Domination and 2-Domination in Graphsof a Roman {2}-dominating function . is the sum ., and the minimum weight of a Roman {2}-dominating function . on a graph . is called the Roman {2}-domination number of ., denoted by .. A 2-dominating set of a graph . is a subset . of .(.) such that each vertex in . is adjacent to at least two verti

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https://doi.org/10.1007/978-981-97-7801-0Algorithms and data structures; Algorithmic game theory and incentive analysis; Approximation algorith

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978-981-97-7800-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor