Formal development of multi-agent systems using MAZE

Qin, Li; Smith, Graeme

doi:10.1016/j.scico.2016.04.008

Cited by 2 publications

(2 citation statements)

References 28 publications

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“…Through the communication and interaction of these intelligent agents, the multi-agent system [ 44 ] has the capability of solving complex problems that a single agent cannot solve, such as mission planning problem in precision farming system. What is more, a multi-agent system has the following characteristics [ 45 ].…”

Section: Precision Farming System Architecturementioning

confidence: 99%

A Mission Planning Approach for Precision Farming Systems Based on Multi-Objective Optimization

Zhai

Ortega

Martínez

et al. 2018

Sensors

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As the demand for food grows continuously, intelligent agriculture has drawn much attention due to its capability of producing great quantities of food efficiently. The main purpose of intelligent agriculture is to plan agricultural missions properly and use limited resources reasonably with minor human intervention. This paper proposes a Precision Farming System (PFS) as a Multi-Agent System (MAS). Components of PFS are treated as agents with different functionalities. These agents could form several coalitions to complete the complex agricultural missions cooperatively. In PFS, mission planning should consider several criteria, like expected benefit, energy consumption or equipment loss. Hence, mission planning could be treated as a Multi-objective Optimization Problem (MOP). In order to solve MOP, an improved algorithm, MP-PSOGA, is proposed, taking advantages of the Genetic Algorithms and Particle Swarm Optimization. A simulation, called precise pesticide spraying mission, is performed to verify the feasibility of the proposed approach. Simulation results illustrate that the proposed approach works properly. This approach enables the PFS to plan missions and allocate scarce resources efficiently. The theoretical analysis and simulation is a good foundation for the future study. Once the proposed approach is applied to a real scenario, it is expected to bring significant economic improvement.

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Section: Precision Farming System Architecturementioning

confidence: 99%

A Mission Planning Approach for Precision Farming Systems Based on Multi-Objective Optimization

Zhai

Ortega

Martínez

et al. 2018

Sensors

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“…The concept of MAS is very useful in the context of smart grids, since it defines autonomous, local, and distributed managers of systems, that are connected to form an agent network of cooperation and interaction that simplifies processes [13]. In this way, MAS (intelligent or not) can be integrated as a solution for monitoring and controlling distributed systems.…”

Section: Multi-agent Systemsmentioning

confidence: 99%

Real-Time Emulation and Simulation System of Asynchronous Motor Consumption

Sousa

Spínola

Moreira

et al. 2018

Advances in Intelligent Systems and Computing

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Electric power systems have been altered at the operating and planning level in the last years. Evidence of this was the liberalization of the energy market and the implementation of concepts such as smart grids and the active participation of consumers through demand response programs. The main objective of the present paper is to propose an emulation model for asynchronous motors, in the scope of dynamic measurement and control of loads, included in demand response programs. Since this type of electric motor is of upmost importance in the current consumption context, it was necessary to model consumption and evaluate its impact on the power system. The development of this paper aims to evaluate the system's capabilities using the motor as a load, and a wind emulator. Thus, we can represent various applications (e.g. division of a house) and realize the effect of distributed generation in the operation of the electric power system.

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Formal development of multi-agent systems using MAZE

Cited by 2 publications

References 28 publications

A Mission Planning Approach for Precision Farming Systems Based on Multi-Objective Optimization

A Mission Planning Approach for Precision Farming Systems Based on Multi-Objective Optimization

Real-Time Emulation and Simulation System of Asynchronous Motor Consumption

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