Paper Info
Title
An evolutionary compensatory negotiation model for distributed dynamic scheduling
Abstract
Although a considerable amount of efforts has been devoted to developing optimum negotiation for dynamic scheduling, most of them are inappropriate for the non-cooperative, self-interested participants in a distributed project for practical purpose. In this paper, an agent-based approach with a mutual influencing, many-issue, one-to-many-party, compensatory negotiation model is proposed. In the model, the activity agents possess various negotiation tactics and strategies formed by respective self-interested owner's subjective preference, aim to find the contracts of schedule adjustment mutually acceptable to respective participant's acquaintance while encountering conflicts over rescheduling settlement. In order to find the fitting negotiation strategies that are optimally adapted for each activity agent, an evolutionary computation approach that encodes the parameters of tactics and strategies of an agent as genes in GAs is also addressed. In the final, a prototype with a case discussed in researches is evaluated to validate the feasibility and applicability of the model, and some characteristics and future works are also exhibited.
Year
DOI
Venue
2008
10.1016/j.asoc.2007.05.018
Appl. Soft Comput.
Keywords
Field
DocType
evolutionary computation approach,dynamic scheduling,fitting negotiation strategy,optimum negotiation,activity agent,respective participant,various negotiation tactic,compensatory negotiation model,evolutionary compensatory negotiation model,negotiation model,self-interested participant,multiagent systems,respective self-interested owner,agent-based approach,evolutionary computing
Evolutionary computation,Multi-agent system,Artificial intelligence,Dynamic priority scheduling,Mathematics,Negotiation
Journal
Volume
Issue
ISSN
8
2
Applied Soft Computing Journal
Citations 
PageRank 
References 
2
0.38
7
Authors
2
Name
Order
Citations
PageRank
Yee Ming Chen1648.33
Shih-Chang Wang2808.85