Marcos S.G. Tsuzuki

University of Sao Paulo

Marcos de Sales Guerra Tsuzuki is a senior associate professor in the Department of Mechatronics and Mechanical Systems Engineering, Escola Politécnica da Universidade de São Paulo, Brazil. Dr. Tsuzuki is an expert in CAD/CAM, optimization methods, cutting and packing, inverse problems, ultrasound, and computer graphics. He developed methodologies for various industrial applications related to ultrasound, software development, and CAD/CAM systems. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE) and a member of the International Federation of Automatic Control (IFAC). Dr. Tsuzuki has been the chair of several events held by the International Federation of Automatic Control (IFAC) and IEEE. He was elected chair of the IFAC Technical Committee on Manufacturing Plant Control and vice chair of the IFAC Technical Committee on Biological and Medical Systems.

3books edited

2chapters authored

Latest work with IntechOpen by Marcos S.G. Tsuzuki

This book is based on the concept that optimization, as the core engineering practice, is a bridge to relate the given problem constraints to an acceptable level of uncertainties for the corresponding solution. Over two sections, this book addresses optimization techniques and parameters for engineering problems, corresponding uncertainties in engineering optimization solutions and methods to manage them, and managing uncertainties to support environmental pollution prevention and control.

Go to the book

Engineering Problems

Edited by Marcos S.G. Tsuzuki

Books edited

By T.C. Martins, A.K. Sato and M.S.G. Tsuzuki

Part of the book: Simulated Annealing

Versatility of Simulated Annealing with Crystallization Heuristic: Its Application to a Great Assortment of Problems

By Tiago G. Goto, Hossein R. Najafabadi, Guilherme C. Duran, Edson K. Ueda, André K. Sato, Thiago C. Martins, Rogério Y. Takimoto, Hossein Gohari, Ahmad Barari and Marcos S.G. Tsuzuki

This chapter is related to several aspects of optimization problems in engineering. Engineers usually mathematically model a problem and create a function that must be minimized, like cost, required time, wasted material, etc. Eventually, the function must be maximized. This function has different names in the literature: objective function, cost function, etc. We will refer to it in the chapter as objective function. There is a wide range of possibilities for the problems and they can be classified in different ways. At first, the values of the parameters can be continuous, discrete (integers), cyclic (angles), intervals, and combinatorial. The result of the objective function can be continuous, discrete (integers) or intervals. One very difficult class of problems have continuous parameters and discrete objective function, this type of objective function has very weak sensibility. This chapter shows the versatility of the simulated annealing showing that it can have different possibilities of parameters and objective functions.

Part of the book: Engineering Problems

Marcos S.G. Tsuzuki

Latest work with IntechOpen by Marcos S.G. Tsuzuki

Engineering Problems

Books edited

Simulated Annealing

Simulated Annealing

Chapters authored

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