Advanced optimization techniques such as evolutionary search algorithms, multi objective optimization are briefly introduced. This course will focus on fundamental subjects in convexity, duality, and convex optimization algorithms. Lecture 1 optimization techniques introduction study. After successful completion of the course, student will be able to understand importance of optimization of industrial process management apply basic concepts of mathematics to formulate an. Global optimum 1 6 convexity and concavity of functions of one and two variables 1 optimization of function of one variable and multiple variables. Characteristics, scope, development of or in india, role of computers in or. Here you can download the free lecture notes of optimization techniques pdf notes.
Teaching scheme credits and hours teaching scheme total credit evaluation scheme l t p total theory mid sem exam cia pract. Nature and meaning, history, management applications, modeling. Optimization techniques syllabus free download as word doc. This is one of the important subject for eee, electrical and electronic engineering eee students. This coursesubject is divided into total of 5 units as given below. The focus of the course is on convex optimization though some techniques will be covered for nonconvex. Optimization techniques pdf notes 2019 all tricks here. Topics include the simplex method, network flow methods, branch and bound and cutting plane methods for discrete optimization. Hamed mohsenianrad associate professor, department of electrical engineering.
Total hrs hrs hrs hrs hrs marks marks marks marks marks 03 00 04 07 5 3 70 30 20 30 150. Syllabus convex analysis and optimization electrical. Introduction of theory and numerical methods for continuous multivariate optimization unconstrained. Optimization methods sloan school of management mit.
The aim is to develop the core analytical and algorithmic issues of continuous optimization, duality, and saddle point theory using a handful of unifying principles that can be easily visualized and readily understood. Optimization techniques is especially prepared for jntu, jntua, jntuk, jntuh university students. Introduction to optimization techniques using both linear and nonlinear programming. The basic thrust of the course would be to study optimization techniques. This course introduces the principal algorithms for linear, network, discrete, nonlinear, dynamic optimization and optimal control. Here you will find the syllabus of fourth subject in bca semesteriv th, which is optimization techniques. I can perform sensitivity analysis on various optimization problems. Optimization techniques course syllabus kyriakos g. The course code of optimization techniques is bcas209. Engr 160 introduction to engineering optimization techniques syllabus instructor. The course takes a unified view of optimization and covers the main areas of application and the main optimization algorithms. The authors of this book clearly explained about this book by using simple language. Convex sets and function, introduction to optimization, model formulation, simplex based techniques, concept of duality.
1438 1104 618 178 327 75 1199 536 1282 142 428 1363 735 991 1484 1112 1500 1377 178 1099 835 58 1360 363 274 277 808 618 445 231 71 977 994 1183 37 507 1147 187