By Singiresu S. Rao
Helps you progress from conception to optimizing engineering structures in virtually any industry
Now in its Fourth Edition, Professor Singiresu Rao's acclaimed textual content Engineering Optimization allows readers to speedy grasp and observe the entire very important optimization equipment in use this present day throughout a vast variety of industries. masking either the most recent and classical optimization tools, the textual content begins with the fundamentals after which steadily builds to complicated rules and applications.
This entire textual content covers nonlinear, linear, geometric, dynamic, and stochastic programming concepts in addition to extra really expert equipment comparable to multiobjective, genetic algorithms, simulated annealing, neural networks, particle swarm optimization, ant colony optimization, and fuzzy optimization. every one process is gifted in transparent, basic language, making even the extra refined ideas effortless to understand. furthermore, the writer provides:
Case examples that express how each one strategy is utilized to resolve real-world difficulties throughout numerous industries
Review questions and difficulties on the finish of every bankruptcy to interact readers in utilizing their newfound abilities and knowledge
Examples that exhibit using MATLAB® for the answer of other kinds of functional optimization problems
References and bibliography on the finish of every bankruptcy for exploring issues in higher depth
Answers to check Questions to be had at the author's site to assist readers to check their realizing of the fundamental concepts
With its emphasis on problem-solving and functions, Engineering Optimization is perfect for upper-level undergraduates and graduate scholars in mechanical, civil, electric, chemical, and aerospace engineering. moreover, the textual content is helping practising engineers in nearly any layout greater, extra effective platforms at much less cost.
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Extra resources for Engineering Optimization: Theory and Practice
Each of the top ropes A and B can carry a load of Wx, each of the middle ropes C and D can carry a load of W1, and each of the bottom ropes E and F can carry a load of W3. If the loads acting on beams 1, 2, and 3 are X1, x2, and X3, respectively, as shown in Fig. 11, formulate the problem of finding the maximum load (JC1 + x2 + X3) that can be supported by the system. Assume that the weights of the beams 1, 2, and 3 are W1, w2, and W3, respectively, and the weights of the ropes are negligible. 11 Scaffolding system with three beams.
Cattermole and J. J. O'Reilly, Optimization Methods in Electronics and Communications, Wiley, New York, 1984. T. R. , Optimization Using Personal Computers with Applications to Electrical Networks, Wiley, New York, 1987. 14 R. C. Johnson, Optimum Design of Mechanical Elements, Wiley, New York, 1980. 16 E. J. Haug and J. S. Arora, Applied Optimal Design: Mechanical and Structural Systems, Wiley, New York, 1979. E. Sevin and W. D. Pilkey, Optimum Shock and Vibration Isolation, Shock and Vibration Information Center, Washington, D .
Khunzi, H. G. Tzschach, and C. A. Zehnder, Numerical Methods of Mathematical Optimization with ALGOL and FORTRAN Programs, Academic Press, New York, 1971. 39 C S . Wolfe, Linear Programming with BASIC and FORTRAN, Reston, Reston, 1985. 40 D. E. Kirk, Optimal Control Theory: An Introduction, Prentice-Hall, Englewood Cliffs, N J . , 1970. 41 A. P. Sage and C. C. , PrenticeHall, Englewood Cliffs, N J . , 1977. 42 B. D. O. Anderson and J. B. , 1971. 43 A. E. Bryson and Y. C. Ho, Applied Optimal Control: Optimization, Estimation, and Control, Blaisdell, Waltham, Mass.