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Flexible Workshop Scheduling Optimization Based On Multi-agent Technology
2016
International Journal of Hybrid Information Technology
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This paper proposed an algorithm which was a combination of the ant colony algorithm and Q-learning algorithm. ...
Considering the complexity of flexible workshop scheduling, combined with plant production process characteristics and constraints, we constructed a multi-agent system model to solve multi-objective flexible ...
This paper proposed building a goal combining ant colony intelligence and Q-learning algorithm with rational allocation of resources, effective use, the highest efficiency and the lowest cost based on ...
doi:10.14257/ijhit.2016.9.5.25
fatcat:onbehq7mpbdxxejcxdoe345fhi
Integrated process planning and scheduling by an agent-based ant colony optimization
2010
Computers & industrial engineering
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This paper presents an ant colony optimization (ACO) algorithm in an agent-based system to integrate process planning and shopfloor scheduling (IPPS). ...
The search-based algorithm which aims to obtain optimal solutions by an autocatalytic process is incorporated into an established multi-agent system (MAS) platform, with advantages of flexible system architectures ...
This paper presents the application of the ant colony optimization (ACO) algorithm in an agent-based system to integrate process planning and shopfloor scheduling. ...
doi:10.1016/j.cie.2009.09.003
fatcat:awtshqmshjb6jed5wqkbhi6t5e
An Optimized Scalable Multi-ant Colony System for Multi-depot Vehicle Routing Problems Using a Reactive Multi-agent System
2021
WSEAS Transactions on Systems
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This paper presents a multi-ant colony system to solve the multi-depot vehicle routing problem using a reactive agent-based approach. ...
This approach is designed to effectively solve the problem, in which each reactive agent is inspired by modeling the behavior of the ant. ...
We use a Reactive Multi-Agent System RMAS for modelling the Multi-Ant Colony System (MACS). ...
doi:10.37394/23202.2021.20.28
fatcat:rvgsmwsyyfcbrbhocaox6hcmn4
Meta-Heuristic Ant Colony Algorithm for Multi-Tasking Assignment on Collaborative AUVs
2015
International Journal of Grid and Distributed Computing
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problem, and had simulation test based on the consolidated analyze the advantages of multiple unmanned underwater vehicle .results show that the ant colony optimization algorithms in solving multi-task ...
Through analyzing the ant colony optimization algorithm, the paper proposed An Meta-heuristic ant colony optimization algorithm the Implementation to solve the multi AUVs to achieve the task allocation ...
Acknowledgements This work was supported in part by the National Natural Science Foundation of China (60975071, 61100005) , Ministry of Education, Scientific Research Project (13YJA790123), Heilongjiang ...
doi:10.14257/ijgdc.2015.8.3.14
fatcat:klaz3566yzhh7luy2ozygjysty
Agent-based modeling using swarm intelligence in geographical information systems
2008
2008 International Conference on Innovations in Information Technology
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Combination of decentralized approaches based on emergent clustering mixed with spatial multi criteria constraints or attractions developed , extension of termite nest building algorithms has been proposed ...
nest building and Ant culturing algorithm. ...
In this algorithm category, multi-agent systems can be considered as generic methods [10] . ...
doi:10.1109/innovations.2008.4781737
fatcat:ghhigcugwrcs7p6uu4c7ttjjiu
Effectiveness of solving traveling salesman problem using Ant Colony Optimization on distributed multi-agent middleware
2010
Proceedings of the International Multiconference on Computer Science and Information Technology
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ACODA was designed to allow efficient implementation of ACO algorithms on state-of-the art distributed multi-agent middleware. ...
We proposed a new distributed approach for Ant Colony Optimization (ACO) algorithms called Ant Colony Optimization on a Distributed Architecture (ACODA). ...
In our recent work [1] we proposed a scalable multi-agent system architecture called ACODA (Ant Colony Optimization on a Distributed Architecture) that allows the implementation of ACO in a parallel, ...
doi:10.1109/imcsit.2010.5679867
fatcat:essr5zzqdbennl5rrj5rlh6ayy
A SURVEY ON VARIOUS CLUSTERING ALGORITHMS USING NATURE INSPIRED ALGORITHMS
2020
JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES
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related to insect and animal based algorithms and provides initial understanding and exploring of technical aspects of algorithms. ...
Algorithms that optimize computation are iterative in nature for speeding up the process of creation or search of data by multiple search agents. ...
Ant Colony Optimization (ACO) Algorithm [5] As per the real-life behavior of "ant colonies" [II] are inspired to form of "Artificial ant colony systems or algorithms" where every single ant agent is identified ...
doi:10.26782/jmcms.2020.07.00023
fatcat:wwypb7iwt5gevlkilwkrtsdzaq
Swarm Intelligence for Urban Dynamics Modelling
2009
AIP Conference Proceedings
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We propose an extension of the ant nest building algorithm with multi-center and adaptive process. ...
We combine a decentralized approach based on emergent clustering mixed with spatial constraints or attractions. ...
In figure 2, we show an implementation of this algorithm using the multi-agent platform called Repast [12] . ...
doi:10.1063/1.3130612
fatcat:gljkalw3rvaj7lkhb5vczhnlue
ACO Modeling: Organizational Modeling of an Ant Multi-Colonies Optimization Approach
2015
International Journal of Computer Applications
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It presents a modeling approach of the ACO based on Holonic Multi-Agent paradigm named HMAS (Holonic Multi-Agent Systems). ...
This paper describes the organizational modeling of the Ant Colony Optimization (ACO). ...
AGENTIFICATION OF THE METAHEURISTIC ORGANIZATIONAL MODEL BASED ON ANT COLONIES This is to describe the multi-agent system structure associated with the metaheuristic. ...
doi:10.5120/19859-1824
fatcat:uhv6da5nmbbwvpiftaafv6dzxa
The Information Technology for Determining Vehicle Route Based on Ant Colony Algorithms
2022
International Journal of Emerging Technology and Advanced Engineering
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The article proposes on the information technology for determining vehicle route based on ant colony algorithms. ...
The main modifications of the classic ant colony algorithm are presented: Max-Min Ant System, Elitist Ant System, Q-ant system, Rank ant system, Ant Colony System, Fast Ant System, Antabu ...
Ant algorithms are based on the idea of modeling the behavior of an ant colony (multi-agent system), which is associated with the ability of ants (agents) to quickly pave the shortest path from an anthill ...
doi:10.46338/ijetae1222_13
fatcat:3mybtkiuyrft3feod2x3xe724q
Evolution of Ant Colony Optimization Algorithm – A Brief Literature Review
[article]
2019
arXiv
pre-print
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Ant Colony Optimization (ACO) is a metaheuristic proposed by Marco Dorigo in 1991 based on behavior of biological ants. ...
While to review articles based on algorithmic development, hybridization and parallel architectures have been investigated. ...
ACO algorithms with parallel versions. Availability of multicore CPU architectures and GPUs have made it possible to develop improved parallel versions of ACO algorithms. ...
arXiv:1908.08007v2
fatcat:eowku25p7rcv5krwvupvr6n6gu
Towards Adaptive, Resilient and Self-organizing Peer-to-Peer Systems
[chapter]
2002
Lecture Notes in Computer Science
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In order to pursue this idea, we are developing Anthill, a framework to support the design, implementation and evaluation of P2P applications based on ideas such as multi-agent and evolutionary programming ...
Peer-to-peer (P2P) systems are characterized by decentralized control, large scale and extreme dynamism of their operating environment. ...
Unlike other toolkits for multi-agent simulation [3] , Anthill uses a single ant implementation in both the simulation and actual run-time environments, thus avoiding the cost of re-implementing ant algorithms ...
doi:10.1007/3-540-45745-3_28
fatcat:m6jgsrku65hgfktgoqzxg5rsv4
The Proposal of a Distributed Algorithm for Solving the Multiple Constraints Parking Problem
2018
International Journal of Advanced Computer Science and Applications
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We propose a distributed technique based on multi objective Ant Colony Optimisation (ACO). ...
The proposed method aim to manage multi objective parking problem in real time using the behavior of real ants and multi agent systems to decrease the traffic flow and to find the optimal route for drivers ...
Ant colony algorithm based on multi agent system for solving parking problem In this section, we present in detail the behavior of each intelligent agent in our distributed architecture. ...
doi:10.14569/ijacsa.2018.0911101
fatcat:s7b3sio2cbbylh3ijv4zoz3q6q
A middleware approach for high level overlay network
2012
IOSR Journal of Computer Engineering
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Resource management is performed by a multi-agent based layer. Knowledge exchange between the monitoring and management layers is mediated by a data warehouse. ...
In network management middle wares are required to enhance reliability and efficiency of distributed systems. ...
In ARMS, ants are just XML documents that carry information about node workload, whereas agents act as nests and implement the logics of the ant algorithm
III. ...
doi:10.9790/0661-0363638
fatcat:gz3nm5re2fejrcrf44fmbnu2gm
Ant Colony Intelligence in Flexible Manufacturing Scheduling Using Contract-Net Model
2011
Advanced Engineering Forum
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The negotiation protocol is an interactive bidding mechanism based on the hybrid contract net protocol. The implementation of the issues using CNP model is discussed. ...
Considering the alternative processes and alternative machines, the allocation of manufacturing resources is achieved through negotiation among the job and machine agents in a multi-agent system (MAS). ...
The implementation of the aforementioned issues in a multi-agent system (MAS) is discussed. ...
doi:10.4028/www.scientific.net/aef.2-3.608
fatcat:nyiryenfkjgtrjmaqlbfmyshr4
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