Engineering Optimization: Theory and Practice by Singiresu S. Rao

By Singiresu S. Rao


Helps you progress from conception to optimizing engineering platforms in nearly any industry

Now in its Fourth Edition, Professor Singiresu Rao's acclaimed textual content Engineering Optimization allows readers to speedy grasp and follow the entire very important optimization equipment in use at the present time throughout a large diversity of industries. masking either the most recent and classical optimization tools, the textual content begins with the fundamentals after which steadily builds to complex rules and applications.

This complete textual content covers nonlinear, linear, geometric, dynamic, and stochastic programming suggestions in addition to extra really expert equipment akin to multiobjective, genetic algorithms, simulated annealing, neural networks, particle swarm optimization, ant colony optimization, and fuzzy optimization. each one technique is gifted in transparent, easy language, making even the extra subtle ideas effortless to know. additionally, the writer provides:

  • Case examples that convey how every one procedure is utilized to resolve real-world difficulties throughout various industries

  • Review questions and difficulties on the finish of every bankruptcy to have interaction readers in utilising their newfound talents and knowledge

  • Examples that show using MATLAB® for the answer of alternative sorts of functional optimization problems

  • References and bibliography on the finish of every bankruptcy for exploring issues in higher depth

  • Answers to check Questions on hand at the author's website to assist readers to check their realizing of the fundamental concepts

With its emphasis on problem-solving and purposes, 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 working towards engineers in virtually any layout stronger, extra effective structures at much less cost.

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J. Nocedal and S. J. Wright, Numerical Optimization, Springer, New York, 2006. R. Fletcher, Practical Methods of Optimization, Vols. 1 and 2, Wiley, Chichester, UK, 1981. D. P. , Athena Scientific, Nashua, NH, 1999. D. G. , Kluwer Academic Publishers, Norwell, MA, 2003. A. Antoniou and W-S. Lu, Practical Optimization: Algorithms and Engineering Applications, Springer, Berlin, 2007. S. G. Nash and A. Sofer, Linear and Nonlinear Programming, McGraw-Hill, New York, 1996. 54 J. L. Kuester and J. H.

G. Murty, Linear Programming, Wiley, New York, 1983. 75 T. C. Hu, Integer Programming and Network Flows, Addison-Wesley, Reading, MA, 1982. A. Kaufmann and A. H. Labordaere, Integer and Mixed Programming: Theory and Applications, Academic Press, New York, 1976. H. M. Salkin, Integer Programming, Addison-Wesley, Reading, MA, 1975. H. A. Taha, Integer Programming: Theory, Applications, and Computations, Academic Press, New York, 1975. A. Schrijver, Theory of Linear and Integer Programming, Wiley, New York, 1998.

The production cost, selling price, and composition of the four fertilizers are given below. Percentage composition by weight Fertilizer Production cost ($/ton) Selling price ($/ton) Nitrates Phosphates Potash Inert chalk base A B C D 100 150 200 250 350 550 450 700 5 5 10 15 10 15 20 5 5 10 10 15 80 70 60 65 During any week, no more than 1000 tons of nitrate, 2000 tons of phosphates, and 1500 tons of potash will be available. The company is required to supply a minimum of 5000 tons of fertilizer A and 4000 tons of fertilizer D per week to its customers; but it is otherwise free to produce the fertilizers in any quantities it pleases.

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