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Prof. Yamada extended the minimum spanning tree problem (MST) to define the mini-max spanning forest problem (MMSF), and developed both of approximate and exact algorithms to solve the problem. In asimilar vein, he also developed algorithms for the knapsack sharingproblem which is an extension of the standard knapsack problem.To solve larger sized problems, meta-heuristic methods such as tabu search, simulated annealing and/orgenetic algorithms are being examined.
Prof. Yamada has been interested in applying mathematics to solve problems of real life, such as in planning, operations, control and decision making. Broadly speaking, these activities are in the fieldof operations research. His principal research objective in this area has been the application of many OR methods to practical problems. His research in this area includes: city emergency evacuation planning, electoral districting, and class selection problem for collage students.
Prof. Yamada introduced graph theory to analyze structural propertiesof the so
called "descriptor systems", dynamic systems described withdifferential or difference
equations with binding static relations.Similar approach have been taken to
characterize the "Tinbergen's rule of economy" in terms of the structure of
the model. In this regard, controllability of dynamic economic systems can be viewed
asan extension of the same rule. A review article in
Networks provides a bird's eye view of his
research in this area.
Control of large-scale, complex man-made systems is
another research topic of Prof. Yamada. Frequently such a system can be regarded
as a discrete event dynamic system, and the Petri net provides a covenient
mathematical tool to describe and analyse such a system.He has derived a linear
programming formula for the performance evaluation of a subclass of timed Petri
nets.
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