文章基本信息

标题：Population-based Negotiation of Contract Clauses and Transportation Request Assignments
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作者：Jonathan Jacob ; Tobias Buer
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2016
卷号：49
期号：12
页码：1862-1867
DOI：10.1016/j.ifacol.2016.07.854
语种：English
出版社：Elsevier
摘要：We propose a mechanism for negotiating multiple contracts simultaneously which can be applied to many different problems. It utilizes a genetic algorithm that employs one of two different rank-based fitness functions. The mechanism is evaluated by means of the complex contract negotiation problem (CCNP), a clause-based contract model with interdependent issues. Furthermore, a transportation request assignment problem (TRAP) where pickup and delivery requests are to be assigned to carriers is solved. For the CCNP, the mechanism is able to find optimal solutions for many small instances. For the TRAP, solution quality depends highly on the tested instance class. Independent of the actual planning problem, the mechanism maintains a high level of information protection for all agents.
关键词：Collaborative planningAutomated negotiationSupply chains and networksSmart transportationOperations ResearchGenetic algorithmsBorda countMaximin