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Contract Net Protocol
About: Contract Net Protocol is a research topic. Over the lifetime, 606 publications have been published within this topic receiving 13729 citations.
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01 Jan 2016
TL;DR: A new holonic coordination approach, which can be useful for the difficult case when more holons try to assign common resources, based on the Contract Net Protocol and this is combined with synchronous backtracking is presented.
Abstract: Our paper presents a new holonic coordination approach, which can be useful for the difficult case when more holons try to assign common resources. It is based on the Contract Net Protocol and this is combined with synchronous backtracking. The coordination scheme also implies an a priori established hierarchy of manager holons. The proposed method ensures a safe operation and was evaluated on a manufacturing scenario with four robots.
13 Dec 2009
TL;DR: This paper adopts Contract Net Protocol to solve the problem of some crawlers in irrelevant area dying so relevant pages that are far to Seed Url may not be scratched and the crawlers’ recall rate may be influenced.
Abstract: There are many previous researches on focused crawlers. Most of the crawlers are bionic: they gain energy for having scratched relevant pates to the query and lose energy otherwise; they reproduce when energy is high and they die when energy is out. This causes some crawlers in irrelevant area to die so relevant pages that are far to Seed Url may not be scratched and the crawlers’ recall rate may be influenced. In this paper we adopt Contract Net Protocol to solve this problem in a distributed environment.
SIDI1
TL;DR: This work will use the extended version of the contract net protocol (ECNP) to optimize the movement of MASs inside a smart grid network, and aims to contribute to each task, depending on their priority order, using the shortest way as possible.
Abstract: Smart grids are one of the best solutions for the integration of different distributed energy sources (DES), load, and storage elements. However, optimizing and managing these systems is a big challenge because it is only done in a distributed way. One of the best methods of managing a smart grid is the use of artificial intelligence (AI), especially multi-agent systems (MAS) approaches. This work constitutes a demonstration of one of those methods which is the contract net protocol (CNP). We will use the extended version of the contract net protocol(ECNP) to optimize the movement of MASs inside a smart grid network. Our example of a smart grid will be a grid constituted from nodes, and each node is a location of an element of the smart grid which could be a wind turbine, a customer…, in other words, a task or/and an agent. In the scenario each task it’s given a target which is also a node inside the grid, and our main objective is that the agent or agents could contribute to each task, depending on their priority order and may allow it to reach its target, which is another node in the network far from its initial location, using the shortest way as possible.
01 Dec 2013
TL;DR: A heuristic approach of optimization which combines two concepts: agent and heuristics which is based on the use of the multi-agent negotiation, the contract net protocol, and a set of heuristic such as the WorstFit arrangement technique and the LPT policy to solve the problem of scheduling n tasks on m parallel identical machines.
Abstract: In this paper, we are interested in the modeling and the resolution of the dynamic and discrete berth allocation problem which is noted DDBAP. To resolve this problem, we propose a heuristic approach of optimization which combines two concepts: agent and heuristics. This approach is based on the use of the multi-agent negotiation, the contract net protocol, and a set of heuristics such as the WorstFit arrangement technique and the LPT policy. The objective of our work is then, to solve the problem of scheduling n tasks on m parallel identical machines. The criterion that we aim to minimize is the makespan (in analogy with the P∥Cmax problem) having a set of constraints to be satisfied. We developed our model of negotiation using the Jade platform. We finish this work by presenting various simulations to show the performance of the proposed heuristic and the contribution of our approach compared to other already existing approaches.
01 Mar 2013
TL;DR: In this paper, the authors describe the development of the pilot plant of distributed intelligent management system for a microgrid and present key features of the data communication and management of the developed pilot plant such as the construction of mesh network using local wireless communication techniques, the autonomous agent coordination schemes using plug-and-play functions of agents and contract net protocol for decision-making.
Abstract: This paper describes the development of the pilot plant of distributed intelligent management system for a microgrid. For optimal control and management of microgrids, intelligent agents area applied to the microgrid management system. Each agent includes intelligent algorithms to make decisions on behalf of the corresponding microgrid entity such as distributed generators, local loads, and so on. To this end, each agent has its own resources to evaluate the system conditions by collecting local information and also communicating with other agents. This paper presents key features of the data communication and management of the developed pilot plant such as the construction of mesh network using local wireless communication techniques, the autonomous agent coordination schemes using plug-and-play functions of agents and contract net protocol (CNP) for decision-making. The performance of the pilot plant and developed algorithms are verified via real-time microgrid test bench based on hardware-in-the-loop simulation systems.