Recommender System for Acyclic Graph Generation in Multi-agent Assembly Line Planning
نویسندگان
چکیده
منابع مشابه
A Multi-Agent Recommender System for Planning Meetings
In this work we address the problem of arranging meetings for several participants taking into consideration constraints for personal agendas and transportation schedules. We have implemented a multi-agent recommender system that solves the problem. Building such applications implies to consider two main issues: collecting information from different sources on the Internet, and solving the prob...
متن کاملA Modified Multi-agent System for Simple Assembly Line Balancing
In this paper, we propose a modified multi-agent system for assembly line balancing. Each worker in the assembly line is regarded as agent, and two neighboring agents exchange the information about the allocated tasks. To balance the workload, an agent having less workload sends a request message to his/her neighboring agent having more workload to exchange tasks between them. Without any centr...
متن کاملA Multi-Agent Recommender System
The large amount of pages in Websites is a problem for users who waste time looking for the information they really want. Knowledge about users’ previous visits may provide patterns that allow the customization of the Website. This concept is known as Adaptive Website: a Website that adapts itself for the purpose of improving the user's experience. Some Web Mining algorithms have been proposed ...
متن کاملMulti-Agent Planning with Planning Graph
In this paper, we consider planning for multi-agents situations in STRIPS-like domains with planning graph. Three possible relationships between agents’ goals are considered in order to evaluate plans: the agents may be collaborative, adversarial or indifferent entities. We propose algorithms to deal with each situation. The collaborative situations can be easily dealt with the original Graphpl...
متن کاملOptimal Multi-Objective Planning of Distribution System with Distributed Generation
This paper presents a multi-objective formulation for optimal siting and sizing of distributed generation (DG) resources in distribution systems in order to minimize the cost of power losses and energy not supplied. The implemented technique is based on a genetic algorithm (GA) and weight method that employed to obtain the best compromise between these costs. Simulation results on 33-bus distri...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Procedia CIRP
سال: 2016
ISSN: 2212-8271
DOI: 10.1016/j.procir.2016.07.065