Aim and Scope of the Course

Optimization is a powerful technique to obtain the best possible solution of various engineering planning and design problems. The techniques are in extensive use in engineering planning and design since long back. However, with the availability of high-end computing facilities, it becomes more and more popular and is an important tool for finding the cost effective solution of various engineering problems. The current optimization methods and tools are sufficiently mature to be applied in industrial applications. As such, the applications of optimization techniques are increasing day by day in all branches of engineering and technology. The objective of the course is to present the classical and non-classical optimization methods used in engineering planning and design problems. It will address some of the common real-world problems in engineering design and planning of different engineering disciplines vis-à-vis Civil Engineering, Mechanical Engineering, etc. The initial lectures will cover the basics of the engineering optimization problems with their classical solution techniques and finally focuses will be given on the recent development in stochastic optimization techniques such as Evolutionary Optimization, Simulated Annealing, Particle Swarm Optimization, Differential Evolution, Direct Search methods, etc. It is intended to describe the systematic approach of optimization, which includes problem definition, its mathematical formulation, selection of a suitable optimization method, and a detailed analysis of the obtained optimal solutions. Emphasis will also be given to enable the participants to formulate and optimize engineering problems with minimal programming skills. Practical works and projects will deal with optimal dimensioning of technical objects using MATLAB software.

Topics

• Formulation of Optimization Problems

• Classical optimization methods

• Stochastic optimization method: Genetic Algorithms, Simulated Annealing, Differential Evolution, Particle Swarm Optimization

• Multi-objective optimization: Classical approach, Evolutionary Computation

• Layout Optimization: Architectural layout problem, industrial facility layout problem

• Solution of industrial planning and packing problem

• Solution of Groundwater management problem

Instructors of the Course

Foreign Faculty

Prof. Fouad Bennis, Professor in Mechanical Engineering

Ecole Centrale de Nantes, France.

Foreign Faculty

Prof. Rajib Kumar Bhattacharjya, Professor in Department of Civil Engineering

IIT Guwahati

Eligibility 

The course is open to the students, researchers and faculty members of Civil Engineering, Mechanical Engineering, Electrical and Electronics Engineering as well as the other branches of Science and Engineering. This is a two-credit course and the participants will receive a grade card from the Institute. 

Boarding and Lodging

Boarding and lodging facility for the selected participants will be provided at Institute Guest House (subject to availability)/ Hostels on payment basis. An early response is requested to facilitate smooth arrangement.

Course fee

The participation fees for taking the course is as follows:

Participants from abroad : USD 200

Industry/ Research Organizations: INR 10,000

Faculty Members/Researchers from Academic Institutions/ Research Organizations: INR 5,000 Students from Academic Institutions: INR 1,000

(Student registration is refundable subject to participation)

Venue: E-class room, CET, IIT Guwahati, Guwahati, India