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Topic Id:

ID topic:	545
Partner Email:	L.J.M.Rothkrantz@tudelft.nl
Project Title:	Phoenix. Non-cooperative bargaining agents deploying computationally bounded optimization strategies
Abstract:	The project addresses cost savings and productivity improvement by pooling of resources between independent companies through multi-agent, bargaining-based decision methods. Cost savings are realized by optimizing plans across companies, while the pooling decision and the benefit distribution is done by bargaining. Applications with these characteristics are wide-spread including logistics (pooling of fleets) and manufacturing (joint manufacturing plans). This thesis comprises the project proposal as a research project submitted to the Sixth Framework Programme, Information Society Technologies, and the realization of the proof-of-concept. This proof is provided by the design and implementation a prototype optimizer for the Capacitated Vehicle Routing Problem (CapVRP) in order to simulated pooling versus non-pooling strategies based on a - simplified - business case. The optimizer uses the genetic algorithm meta-heuristic. Extensive experimentation using published CapVRP instances and benchmarks leads to the delivery of the proof-ofconcept.
Advisor:	Leon Rothkrantz
Link:
Degree:	Master
Keywords:
Computer Software
Algorithms & problem solving
Artificial intelligence & Neural networks
Data mining
Data modeling