scholarly journals SOLVING N-QUEEN PROBLEM USING PROBABILITY COLLECTIVE

2020 ◽  
pp. 91-99
Author(s):  
Lutfia Khalifa Haj MOHAMED
Keyword(s):  
Genetic Algorithm ◽  
Multiagent Systems ◽  
Collective Intelligence ◽  
Particle Swarm Optimisation ◽  
Multi Agent System ◽  
Agent System ◽  
Main Challenge ◽  
Simulating Annealing ◽  
Multi Agent ◽  
Global Objective

Many types of research solve N-Queen Problem by using various techniques as Genetic algorithm (GA), particle swarm optimisation (PSO), and simulating annealing (SA). This paper motivates and describes the use of probability collectives (PC) with coordination multi-agent system to solve the N-Queen Problem. The main challenge is to make the agents work in a coordinate a way, optimising the local utilities and contributing the maximum towards optimisation of the global objective. Keywords: Probability Collectives, Collective Intelligence, Multiagent systems, N-Queen Problem..

A Genetic Algorithm-Oriented Model of Agent Persuasion for Multi-agent System Negotiation

2020 ◽  
pp. 281-291
Author(s):  
Samantha Jiménez ◽  
Víctor H. Castillo ◽  
Bogart Yail Márquez ◽  
Arnulfo Alanis ◽  
Leonel Soriano-Equigua ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

scholarly journals Second-Order Multiagent Systems with Event-Driven Consensus Control

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Jiangping Hu ◽  
Yulong Zhou ◽  
Yunsong Lin
Keyword(s):  
Multiagent Systems ◽  
Closed Loop ◽  
Second Order ◽  
Multi Agent System ◽  
Consensus Control ◽  
Agent System ◽  
Control Laws ◽  
Event Driven ◽  
Multi Agent ◽  
Event Times

Event-driven control scheduling strategies for multiagent systems play a key role in future use of embedded microprocessors of limited resources that gather information and actuate the agent control updates. In this paper, a distributed event-driven consensus problem is considered for a multi-agent system with second-order dynamics. Firstly, two kinds of event-driven control laws are, respectively, designed for both leaderless and leader-follower systems. Then, the input-to-state stability of the closed-loop multi-agent system with the proposed event-driven consensus control is analyzed and the bound of the inter-event times is ensured. Finally, some numerical examples are presented to validate the proposed event-driven consensus control.

A mechanism to form coalition in multi-agent system based on genetic algorithm

2008 ◽  
Author(s):  
Zhang Jijun ◽  
Zhang Jiping ◽  
Tian Baoguo ◽  
Zhang Jinchun
Keyword(s):  
Genetic Algorithm ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

Modeling of Multi-Agents' Coordination

2013 ◽  
Vol 437 ◽  
pp. 222-225
Author(s):  
Mei Zhang ◽  
Jing Hua Wen ◽  
Yong Long Fan
Keyword(s):  
Genetic Algorithm ◽  
Multi Agent System ◽  
Agent System ◽  
Agent Based ◽  
Virtual Geographic Environment ◽  
Multi Agent ◽  
Geographic Environment ◽  
Behaviour Learning ◽  
Centralized System ◽  
Multi Agents

It takes cooperation among multi-user in virtual geographic environment (VGE) based on Multi-Agent System (MAS) in the centralized system as researched object. Then we detailed analyze and research arithmetic of collectivistic operating behaviour learning of Multi-Agent based on Genetic Algorithm (GA). Finally we design an example which shows how 3 evolutional Agents cooperate to complete the task of colony pushing cylinder box.

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