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Modeling multidisciplinary design with multiagent learning

Daniel Hulse, Kagan Tumer, Christopher Hoyle, Irem Tumer
2018 Artificial intelligence for engineering design, analysis and manufacturing  
This situation is analogous to a multiagent system in which agents solve individual parts of a larger problem in a coordinated way.  ...  These designers are represented as a multiagent learning system which is shown to perform similarly to a centralized optimization algorithm on the same domain.  ...  coordination algorithm.  ... 
doi:10.1017/s0890060418000161 fatcat:rp4brvl3mje25pr4s4gnl2yj4u

Optimization of English Online Learning Dictionary System Based on Multiagent Architecture

Ying Wang, Zhihan Lv
2021 Complexity  
This paper will optimize the design of English online learning dictionary system based on multiagent architecture.  ...  Based on the hybrid multiagent cooperative algorithm, this paper will improve the disadvantages of the online English learning dictionary system and propose an appropriate dictionary application evaluation  ...  Collaborative Algorithm Analysis of English Online Learning Dictionary System Based on Multiagent Structure.  ... 
doi:10.1155/2021/1994121 fatcat:bqj3u4eahndezol3z4tfkhfdh4

Multiagent Task Planning Based on Distributed Resource Scheduling under Command and Control Structure

Jie Zhang, Gang Wang, Yafei Song, Fangzheng Zhao, Siyuan Wang
2019 Mathematical Problems in Engineering  
The concept of MultiAgent-HTN is proposed based on the framework.  ...  The original hierarchical task network planning algorithm is optimized, the multiagent collaboration framework is redefined, and the coordination mechanism of local conflict is developed.  ...  Multiagent Distributed Collaboration Framework Based on HTN.  ... 
doi:10.1155/2019/4259649 fatcat:ferdamsxabcyffzbegppbyrtie

Review of Different Strategies for Coordinative Planning of Multi-agent Systems

Shihab Hamad Khaleefah
2019 International Journal of Advanced Trends in Computer Science and Engineering  
Based on this review, most of feature extraction agent-based systems rely on either coordinating or emergent-based strategies, while feature selection agent-based systems rely on collaborative strategies  ...  In terms of the workflow, this paper tackles three types, including coordinative, collaborative and emergent-based systems.  ...  [35] proposed an agent-based system based on a multiobjective genetic algorithm for intrusion detection.  ... 
doi:10.30534/ijatcse/2019/3281.62019 fatcat:fy5ymnusjfauji2bq6hl7njrpu

Present and Future Perspective on Optimization of Road Network Management
English

Sanjiv Kumar Shukla, Anupam Agrawal
2015 International Journal of Computer Trends and Technology  
In observation of dynamicity on road networks and the sharp increase of traffic congestion, accidents, states, the road traffic management becomes more challenging research area.  ...  The aim of this paper is to provide a short and snappy review of available various optimization techniques for road network management. Also, open issues on road network optimization is discussed.  ...  Multiagent systems can aid in the distribution of the problem (over the various agents that comprise the multiagent system) and facilitate the coordination of the activities of these agents when required  ... 
doi:10.14445/22312803/ijctt-v22p112 fatcat:qxmwc3dffza2dbxvvfsro7vwci

A Kind of Reinforcement Learning to Improve Genetic Algorithm for Multiagent Task Scheduling

Zhipeng Li, Xiumei Wei, Xuesong Jiang, Yewen Pang, Daniel Zaldivar
2021 Mathematical Problems in Engineering  
We built a multiagent distributed hierarchical intelligent control model for manufacturing systems integrating multiple production units based on multiagent system technology.  ...  For the task assignment problem with this model, we combine reinforcement learning to improve the genetic algorithm for multiagent task scheduling and use the standard task scheduling dataset in OR-Library  ...  Acknowledgments is study was supported in part by the National Key R&D Program of China (no. 2019YFB1707004).  ... 
doi:10.1155/2021/1796296 fatcat:6p2qwbursjgb7htrhr33y3dsi4

Multiagent System In-network Processing In Wireless Sensor Network

Seno Adi Putra, Bambang Riyanto Trilaksono, Agung Harsoyo, Achmad Imam Kistijantoro
2018 International Journal on Electrical Engineering and Informatics  
It means that data preprocessing is conducted in network to reduce amount of data and processing time in server. One of in-network processing approach is multiagent-based signal processing.  ...  It is interesting to implement such concepts in wireless sensor network for the case of in-network processing. Why multiagent system?  ...  In this work, we utilize two well-established algorithms: genetic algorithm (population-based) and simulated annealing (single-solution).  ... 
doi:10.15676/ijeei.2018.10.1.7 fatcat:2kubci5cuzaovp2zg7l6sgbm2y

Conflict resolution via emerging technologies?

Chika Yinka-Banjo, Ogban-Asuquo Ugot, Sanjay Misra, Adewole Adewumi, Robertas Damasevicius, Rytis Maskeliunas
2019 Journal of Physics, Conference Series  
The review highlights the strength and weaknesses, and thus, their success in fostering cooperation and collaboration in multi-agent systems.  ...  This paper presents a review of the current techniques and approaches adopted in conflict resolution in Multi-Agent Systems (MAS).  ...  Acknowledgment The authors gratefully acknowledge the financial support of African Institute for mathematical sciences (AIMS) Alumni small research grant (AASRG), the Organization for Women in Science  ... 
doi:10.1088/1742-6596/1235/1/012022 fatcat:nvu3mbdxzra5rnyeju4di2gi7i

An Evolutionary Multiagent Framework for Multiobjective Optimization

Zihui Zhang, Qiaomei Han, Yanqiang Li, Yong Wang, Yanjun Shi
2020 Mathematical Problems in Engineering  
Each subpopulation is optimized once, and the corresponding agent is evaluated based on the improvement of the system memory.  ...  This article proposes an evolutionary multiagent framework of the co-operative co-evolutionary multiobjective model (CCMO-EMAS), specifically for equipment layout optimization in engineering.  ...  Acknowledgments is research was also supported by the International cooperation project of Shandong Academy of Sciences  ... 
doi:10.1155/2020/9147649 doaj:002589a204604a019d13a77e69acb14a fatcat:25libzzgubemvkrie7pfyqij4e

Modeling of Multi-Agents' Coordination

Mei Zhang, Jing Hua Wen, Yong Long Fan
2013 Applied Mechanics and Materials  
Then we detailed analyze and research arithmetic of collectivistic operating behaviour learning of Multi-Agent based on Genetic Algorithm (GA).  ...  It takes cooperation among multi-user in virtual geographic environment (VGE) based on Multi-Agent System (MAS) in the centralized system as researched object.  ...  evolutionary mechanism based on genetic algorithm.  ... 
doi:10.4028/www.scientific.net/amm.437.222 fatcat:7wrcxmuhp5hjtogtoaokzi4x3u

Biasing Coevolutionary Search for Optimal Multiagent Behaviors

Liviu Panait, Sean Luke, R. Paul Wiegand
2006 IEEE Transactions on Evolutionary Computation  
We address this problem by biasing a cooperative coevolutionary algorithm in such a way that the fitness of an individual is based partly on the result of interactions with other individuals (as is usual  ...  ), and partly on an estimate of the best possible reward for that individual if partnered with its optimal collaborator.  ...  Paul Wiegand's participation in this work was made possible by the American Society of Engineering Education.  ... 
doi:10.1109/tevc.2006.880330 fatcat:5a7c7tukr5eu5atx2jxl6d7wpm

An Overview of AI Research in Italy [chapter]

Andrea Roli, Michela Milano
2009 Lecture Notes in Computer Science  
We first analyze the collaboration structure of Italian research, which involves more than eight hundred scholars and researchers from both universities and industry.  ...  Next, we briefly illustrate the main subjects of investigation and applications.  ...  .: Genetic algorithm-based interactive segmentation of 3D medical images.  ... 
doi:10.1007/978-3-642-03226-4_10 fatcat:wsimnbii4fdptcyls2bqkt2wqu

Multiagent diffusion and distributed optimization

Kwok Ching Tsui, Jiming Liu
2003 Proceedings of the second international joint conference on Autonomous agents and multiagent systems - AAMAS '03  
However, many multiagent systems require certain degree of planning, coordination and negotiation to achieve the given goal.  ...  This paper also presents an algorithm called Evolutionary Diffusion Optimization, which is implemented base on the proposed agent framework.  ...  Example 2 Genetic algorithm (GA) is an example of a multiagent optimization system. It has a population of agents representing a group of candidate solutions.  ... 
doi:10.1145/860575.860603 dblp:conf/atal/TsuiL03 fatcat:zt7suordrzfchpoxyzuh6pq3ja

Multiagent diffusion and distributed optimization

Kwok Ching Tsui, Jiming Liu
2003 Proceedings of the second international joint conference on Autonomous agents and multiagent systems - AAMAS '03  
However, many multiagent systems require certain degree of planning, coordination and negotiation to achieve the given goal.  ...  This paper also presents an algorithm called Evolutionary Diffusion Optimization, which is implemented base on the proposed agent framework.  ...  Example 2 Genetic algorithm (GA) is an example of a multiagent optimization system. It has a population of agents representing a group of candidate solutions.  ... 
doi:10.1145/860601.860603 fatcat:6qgekmoo2jat5ddufqvusvhqym

A multiagent architecture for solving combinatorial optimization problems through metaheuristics

Filipe Costa Fernandes, Sergio Ricardo de Souza, Maria Amelia Lopes Silva, Henrique Elias Borges, Fabio Fernandes Ribeiro
2009 2009 IEEE International Conference on Systems, Man and Cybernetics  
This interaction between one or more agents is carried out through information exchange in the search space of the problem, seeking to improve the same objective.  ...  In this paper, the MAM architecture is specialized for Genetic Algorithm (GA), Iterated Local Search (ILS) and Variable Neighborhood Search (VNS) metaheuristics in order to solve the Vehicle Routing Problem  ...  ACKNOWLEDGMENT The authors would like to thank CEFET/MG and CAPES for the support in the development of this work.  ... 
doi:10.1109/icsmc.2009.5345934 dblp:conf/smc/FernandesSSBR09 fatcat:klh5zbo3sfdb5b6i4d44ylp5d4
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