About the Book: Optimization for Engineering Design: Algorithms and Examples: 2nd Edition This well-received book, now in its second edition, continues toprovide a number of optimization algorithms which are commonly usedin computer-aided engineering design. The book begins with simplesingle-variable optimization techniques, and then goes on to giveunconstrained and constrained optimization techniques in astep-by-step format so that they can be coded in any user-specificcomputer language. In addition to classical optimization methods,the book also discusses Genetic Algorithms and Simulated Annealing,which are widely used in engineering design problems because oftheir ability to find global optimum solutions. The second editionadds several new topics of optimization such as design andmanufacturing, data fitting and regression, inverse problems,scheduling and routing, data mining, intelligent system design,Lagrangian duality theory, and quadratic programming and itsextension to sequential quadratic programming. It also extensivelyrevises the linear programming algorithms section in the Appendix.This edition also includes more number of exercise problems. Contents Preface Preface to the First Edition Introduction Single-variable Optimization Algorithms Multivariable Optimization Algorithms Constrained Optimization Algorithms Specialized Algorithms Nontraditional Optimization Algorithms Appendix: Linear Programming Algorithms Index About the Author: Kalyanmoy Deb Kalyanmoy Deb , PhD (Alabama), Department ofMechanical Engineering, Indian Institute of Technology Kanpur, is aleading researcher in the area of evolutionary computation,particularly in the area of evolutionary multi-objectiveoptimization (EMO). He has made seminal contributions in thedevelopment of evolutionary optimization algorithms includingconstraint handling, real-valued optimization, multi-objectiveoptimization, dynamic optimization, uncertainty-based optimization,and others. His NSGA-II algorith