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most citedAn Anytime Algorithm for Optimal Coalition Structure Generation

248 citations · 1.3k across the 45 of their papers we have counts for

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cs.MA2020★ 10 cited

Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs

Saaduddin Mahmud, Md. Mosaddek Khan, Moumita Choudhury +2

Distributed Constraint Optimization Problems (DCOPs) are an important framework for modeling coordinated decision-making problems in multi-agent systems with a set of discrete vari…

cs.MA2019

AED: An Anytime Evolutionary DCOP Algorithm

Saaduddin Mahmud, Moumita Choudhury, Md. Mosaddek Khan +2

Evolutionary optimization is a generic population-based metaheuristic that can be adapted to solve a wide variety of optimization problems and has proven very effective for combina…

cs.MA2016★ 31 cited

Acyclic Games and Iterative Voting

Reshef Meir, Maria Polukarov, Jeffrey S. Rosenschein +1

We consider iterative voting models and position them within the general framework of acyclic games and game forms. More specifically, we classify convergence results based on the…

cs.MA2014★ 248 cited

An Anytime Algorithm for Optimal Coalition Structure Generation

Talal Rahwan, Sarvapali Dyanand Ramchurn, Nicholas Robert Jennings +1

Coalition formation is a fundamental type of interaction that involves the creation of coherent groupings of distinct, autonomous, agents in order to efficiently achieve their indi…

cs.MA2013★ 4 cited

A Hierarchical Dynamic Programming Algorithm for Optimal Coalition Structure Generation

Meritxell Vinyals, Thomas Voice, Sarvapali Ramchurn +1

We present a new Dynamic Programming (DP) formulation of the Coalition Structure Generation (CSG) problem based on imposing a hierarchical organizational structure over the agents.…

cs.MA2011★ 142 cited

Multi-Issue Negotiation with Deadlines

S. S. Fatima, N. R. Jennings, M. J. Wooldridge

This paper studies bilateral multi-issue negotiation between self-interested autonomous agents. Now, there are a number of different procedures that can be used for this process; t…