The Experts below are selected from a list of 10035 Experts worldwide ranked by ideXlab platform
Vicente Botti - One of the best experts on this subject based on the ideXlab platform.
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using Negotiation Techniques as time restricted scheduling policies on intelligent agents
Lecture Notes in Computer Science, 2005Co-Authors: Patricia Maldonado, Carlos Carrascosa, Vicente BottiAbstract:Tasks scheduling policies for real-time systems are generally not very flexible due to the time restrictions they have to fulfill. Nowadays, research lines to apply artificial intelligence Techniques to real-time systems are becoming more relevant, because they can be used to soften tasks scheduling. In this work, we present a proposal in this line. That is, to apply Negotiation Techniques to optimize real-time systems decisions by increasing and improving the available information to schedule the tasks of an intelligent agent working in a real-time environment. To implement our proposal, we have used an agent working in a hard real-time environment such as (A Real-Time Intelligence System). Finally, we show some results obtained of including such methods in an agent.
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CEEMAS - Using Negotiation Techniques as time-restricted scheduling policies on intelligent agents
Multi-Agent Systems and Applications IV, 2005Co-Authors: Patricia Maldonado, Carlos Carrascosa, Vicente BottiAbstract:Tasks scheduling policies for real-time systems are generally not very flexible due to the time restrictions they have to fulfill. Nowadays, research lines to apply artificial intelligence Techniques to real-time systems are becoming more relevant, because they can be used to soften tasks scheduling. In this work, we present a proposal in this line. That is, to apply Negotiation Techniques to optimize real-time systems decisions by increasing and improving the available information to schedule the tasks of an intelligent agent working in a real-time environment. To implement our proposal, we have used an agent working in a hard real-time environment such as (A Real-Time Intelligence System). Finally, we show some results obtained of including such methods in an agent.
Patricia Maldonado - One of the best experts on this subject based on the ideXlab platform.
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using Negotiation Techniques as time restricted scheduling policies on intelligent agents
Lecture Notes in Computer Science, 2005Co-Authors: Patricia Maldonado, Carlos Carrascosa, Vicente BottiAbstract:Tasks scheduling policies for real-time systems are generally not very flexible due to the time restrictions they have to fulfill. Nowadays, research lines to apply artificial intelligence Techniques to real-time systems are becoming more relevant, because they can be used to soften tasks scheduling. In this work, we present a proposal in this line. That is, to apply Negotiation Techniques to optimize real-time systems decisions by increasing and improving the available information to schedule the tasks of an intelligent agent working in a real-time environment. To implement our proposal, we have used an agent working in a hard real-time environment such as (A Real-Time Intelligence System). Finally, we show some results obtained of including such methods in an agent.
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CEEMAS - Using Negotiation Techniques as time-restricted scheduling policies on intelligent agents
Multi-Agent Systems and Applications IV, 2005Co-Authors: Patricia Maldonado, Carlos Carrascosa, Vicente BottiAbstract:Tasks scheduling policies for real-time systems are generally not very flexible due to the time restrictions they have to fulfill. Nowadays, research lines to apply artificial intelligence Techniques to real-time systems are becoming more relevant, because they can be used to soften tasks scheduling. In this work, we present a proposal in this line. That is, to apply Negotiation Techniques to optimize real-time systems decisions by increasing and improving the available information to schedule the tasks of an intelligent agent working in a real-time environment. To implement our proposal, we have used an agent working in a hard real-time environment such as (A Real-Time Intelligence System). Finally, we show some results obtained of including such methods in an agent.
Sarvapali D Ramchurn - One of the best experts on this subject based on the ideXlab platform.
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EUMAS/AT - Towards an Agent-Based Negotiation Scheme for Scheduling Electric Vehicles Charging
Multi-Agent Systems and Agreement Technologies, 2016Co-Authors: Andreas Seitaridis, Emmanouil S Rigas, Nick Bassiliades, Sarvapali D RamchurnAbstract:We consider the problem of scheduling Electric Vehicle (EV) charging within a single charging station aiming to maximize the number of charged EVs, as well as the amount of charged energy. In so doing, we propose one offline optimal solution using Mixed Integer Programming (MIP) Techniques, and two online solutions which incrementally execute the MIP algorithm each time an EV arrives at the charging station. Moreover, we apply agent based Negotiation Techniques between the station and the EVs in order to service EVs when the MIP problem is initially unsolvable due to insufficient resources (i.e., requested energy, charging time window). We evaluate our solutions in a setting partially using real data, and we show that when applying Negotiation Techniques, the number of EVs charged increases on average by \(7\,\%\), energy utilization by \(6.5\,\%\), while there is only a small deficit (about \(10\,\%\)) on average agent utility which is unavoidable due to the fact that the initial incremental demand-response problem is unsolvable.
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towards an agent based Negotiation scheme for scheduling electric vehicles charging
European Conference on Multi-Agent Systems, 2015Co-Authors: Andreas Seitaridis, Emmanouil S Rigas, Nick Bassiliades, Sarvapali D RamchurnAbstract:We consider the problem of scheduling Electric Vehicle (EV) charging within a single charging station aiming to maximize the number of charged EVs, as well as the amount of charged energy. In so doing, we propose one offline optimal solution using Mixed Integer Programming (MIP) Techniques, and two online solutions which incrementally execute the MIP algorithm each time an EV arrives at the charging station. Moreover, we apply agent based Negotiation Techniques between the station and the EVs in order to service EVs when the MIP problem is initially unsolvable due to insufficient resources (i.e., requested energy, charging time window). We evaluate our solutions in a setting partially using real data, and we show that when applying Negotiation Techniques, the number of EVs charged increases on average by \(7\,\%\), energy utilization by \(6.5\,\%\), while there is only a small deficit (about \(10\,\%\)) on average agent utility which is unavoidable due to the fact that the initial incremental demand-response problem is unsolvable.
Carlos Carrascosa - One of the best experts on this subject based on the ideXlab platform.
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using Negotiation Techniques as time restricted scheduling policies on intelligent agents
Lecture Notes in Computer Science, 2005Co-Authors: Patricia Maldonado, Carlos Carrascosa, Vicente BottiAbstract:Tasks scheduling policies for real-time systems are generally not very flexible due to the time restrictions they have to fulfill. Nowadays, research lines to apply artificial intelligence Techniques to real-time systems are becoming more relevant, because they can be used to soften tasks scheduling. In this work, we present a proposal in this line. That is, to apply Negotiation Techniques to optimize real-time systems decisions by increasing and improving the available information to schedule the tasks of an intelligent agent working in a real-time environment. To implement our proposal, we have used an agent working in a hard real-time environment such as (A Real-Time Intelligence System). Finally, we show some results obtained of including such methods in an agent.
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CEEMAS - Using Negotiation Techniques as time-restricted scheduling policies on intelligent agents
Multi-Agent Systems and Applications IV, 2005Co-Authors: Patricia Maldonado, Carlos Carrascosa, Vicente BottiAbstract:Tasks scheduling policies for real-time systems are generally not very flexible due to the time restrictions they have to fulfill. Nowadays, research lines to apply artificial intelligence Techniques to real-time systems are becoming more relevant, because they can be used to soften tasks scheduling. In this work, we present a proposal in this line. That is, to apply Negotiation Techniques to optimize real-time systems decisions by increasing and improving the available information to schedule the tasks of an intelligent agent working in a real-time environment. To implement our proposal, we have used an agent working in a hard real-time environment such as (A Real-Time Intelligence System). Finally, we show some results obtained of including such methods in an agent.
David Orden - One of the best experts on this subject based on the ideXlab platform.
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Nonlinear Negotiation Approaches for Complex-Network Optimization: A Study Inspired by Wi-Fi Channel Assignment
Group Decision and Negotiation, 2019Co-Authors: Ivan Marsa-maestre, Jose Manuel Gimenez-guzman, David Orden, Mark KleinAbstract:At the present time, Wi-Fi networks are everywhere. They operate in unlicensed radio-frequency spectrum bands (divided in channels), which are highly congested. The purpose of this paper is to tackle the problem of channel assignment in Wi-Fi networks. To this end, we have modeled the networks as multilayer graphs, in a way that frequency channel assignment becomes a graph coloring problem. For a high number and variety of scenarios, we have solved the problem with two different automated Negotiation Techniques: a hill-climbing mediated Negotiation and a simulated annealing mediated Negotiation. As an upper bound reference for the performance of these two Techniques, we have also solved the problem using a particle swarm optimizer. Results show that the annealer negotiator behaves as the best choice because it is able to obtain even better results than the particle swarm optimizer in the most complex scenarios under study, with running times one order of magnitude below. Moreover, we study how different properties of the network layout affect to the performance gain that the annealer is able to obtain with respect to the particle swarm optimizer. Finally, we show how the different strategic behavior of the participants affects the results.
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Automated Negotiation for Resource Assignment in Wireless Surveillance Sensor Networks.
Sensors (Basel Switzerland), 2015Co-Authors: Enrique De La Hoz, Jose Manuel Gimenez-guzman, Ivan Marsa-maestre, David OrdenAbstract:Due to the low cost of CMOS IP-based cameras, wireless surveillance sensor networks have emerged as a new application of sensor networks able to monitor public or private areas or even country borders. Since these networks are bandwidth intensive and the radioelectric spectrum is limited, especially in unlicensed bands, it is mandatory to assign frequency channels in a smart manner. In this work, we propose the application of automated Negotiation Techniques for frequency assignment. Results show that these Techniques are very suitable for the problem, being able to obtain the best solutions among the Techniques with which we have compared them.
