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检索条件"主题词=distributed constraint optimization problems"
12 条 记 录,以下是1-10 订阅
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The improved local cost simulation algorithms based on coalition structure generation for solving distributed constraint optimization problems
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JOURNAL OF SUPERCOMPUTING 2025年 第1期81卷 1-21页
作者: Shi, Meifeng Jia, Guoyan Yokoo, Makoto Chongqing Univ Technol Dept Comp Sci & Engn 69 Hongguang Chongqing 400054 Peoples R China Kyushu Univ Fac Informat Sci & Elect Engn 744 Motooka Fukuoka 8190395 Japan
distributed constraint optimization problems (DCOPs) are a fundamental framework for modeling multi-agent systems (MAS) where agents coordinate their decision-making to optimize a global objective. However, existing i... 详细信息
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Concurrent forward bounding for distributed constraint optimization problems
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ARTIFICIAL INTELLIGENCE 2012年 193卷 186-216页
作者: Netzer, Arnon Grubshtein, Alon Meisels, Amnon Ben Gurion Univ Negev Dept Comp Sci IL-84105 Beer Sheva Israel
A distributed search algorithm for solving distributed constraints optimization problems (DCOPs) is presented. The new algorithm scans the search space by using multiple search processes (SPs) that run on all agents c... 详细信息
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Dynamic Continuous distributed constraint optimization problems  24th
Dynamic Continuous Distributed Constraint Optimization Probl...
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24th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA)
作者: Hoang, Khoi D. Yeoh, William Washington Univ St Louis MO 63110 USA
The distributed constraint optimization Problem (DCOP) formulation is a powerful tool to model multi-agent coordination problems that are distributed by nature. While DCOPs assume that variables are discrete and the e... 详细信息
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Incomplete distributed constraint optimization problems: Model, Algorithms, and Heuristics  1
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3rd International Conference on distributed Artificial Intelligence, DAI 2021
作者: Tabakhi, Atena M. Yeoh, William Zivan, Roie Washington University in St. Louis St. Louis United States Ben Gurion University of the Negev Beer Sheva Israel
The distributed constraint optimization Problem (DCOP) formulation is a powerful tool to model cooperative multi-agent problems, especially when they are sparsely constrained with one another. A key assumption in this... 详细信息
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An Adaptive Ant Colony Algorithm Based on Local Information Entropy to Solve distributed constraint optimization problems
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INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE 2023年 第9期37卷 2359013-2359013页
作者: Shi, Meifeng Xiao, Shichuan Feng, Xin Chongqing Univ Technol Coll Comp Sci & Engn Chongqing 400054 Peoples R China
As a meta-heuristic algorithm, the ant colony algorithm has been successfully used to solve various combinatorial optimization problems. However, the existing algorithm that takes the power of ants to solve distribute... 详细信息
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Evaluating Incomplete DCOP Algorithms On Large-Scale problems
Evaluating Incomplete DCOP Algorithms On Large-Scale Problem...
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International Joint Conference on Neural Networks (IJCNN)
作者: Leite, Allan Enembreck, Fabricio Pontifical Catholic Univ Parana PUCPR Postgrad Program Appl Informat PPGia Curitiba Parana Brazil
The distributed constraint optimization problem (UCOP) has emerged as one of the most promising coordination techniques in multi-agent systems (MAS). However, because DCOP is known to be NP-hard, the existing DCOP tec... 详细信息
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Decomposing Utility Functions in Bounded Max-Sum for distributed constraint optimization
Decomposing Utility Functions in Bounded Max-Sum for Distrib...
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4th Global Congress on Intelligent Systems (GCIS)
作者: Rollon, Emma Larrosa, Javier Univ Politecn Cataluna Dept Llenguatges & Sistemes Informat Barcelona Spain
Bounded Max-Sum is a message-passing algorithm for solving distributed constraint optimization problems (DCOP) able to compute solutions with a guaranteed approximation ratio. In this paper we show that the introducti... 详细信息
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Reducing the Number of Samples in distributed Cooperative Solution Method for Resource Supply Networks
Reducing the Number of Samples in Distributed Cooperative So...
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IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (WI-IAT)
作者: Matsui, Toshihiro Kaneko, Masayuki Takama, Yuho Matsuo, Hiroshi Nagoya Inst Technol Showa Ku Nagoya Aichi 4668555 Japan
distributed constraint optimization problems (DCOPs) are applied to resource allocation problems in resource supply networks. In previous studies, distributed cooperative solution methods based on feeder trees have be... 详细信息
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Communication-Sensitive Pseudo-Tree Heuristics for DCOP Algorithms
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INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS 2018年 第7期27卷
作者: Tabakhi, Atena M. Yeoh, William Tourani, Reza Natividad, Francisco Misra, Satyajayant Washington Univ Dept Comp Sci & Engn St Louis MO 63130 USA St Louis Univ Dept Comp Sci St Louis MO 63103 USA New Mexico State Univ Dept Comp Sci Las Cruces NM 88003 USA
distributed constraint optimization Problem (DCOP) is a powerful paradigm to model multi-agent systems through enabling multiple agents to coordinate with each other to solve a problem. These agents are often assumed ... 详细信息
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Counterexamples and amendments to the termination and optimality of ADOPT-based algorithms
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ARTIFICIAL INTELLIGENCE 2024年 329卷
作者: Noshiro, Koji Hasebe, Koji Univ Tsukuba Degree Programs Syst & Informat Engn Tsukuba Japan Univ Tsukuba Dept Comp Sci Tsukuba Japan
A distributed constraint optimization problem (DCOP) is a framework to model multi -agent coordination problems. Asynchronous distributed optimization (ADOPT) is a well-known complete DCOP algorithm, and many of its v... 详细信息
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