A study of generating distributed cooperative problem solver for practical and dynamic environments

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We studied several techniques to improve distributed cooperative optimization methods. How to apply the solution methods to complex situations including dynamic environments and how to integrate distributed algorithms into appropriate solution methods have been mainly investigated. We analyzed the substantial representations of the distributed constraint optimization problems and their solution methods. Based on the above investigations, improved solution methods have been developed. We also applied cooperative optimization methods to resource allocation problems on the resource supply networks where the equality of the agents and the sequence of the allocation problems are considered.