Optimisation Methods

20th - 21st August 2013

This training course is open to all but employees of ACTC member companies, are entitled to two places free of charge. There is a fee for employees of companies that are not ACTC members. Special "early bird" rates are avaliable for registrations received 4 weeks before the course start date (see online registration form). We can also offer a 10% discount for booking 4 or more places (whether it is on one course or spread over 2 - 4 courses), Note that all courses offered can also be provided at your company premises through special arrangements, please contact us for more information..

Registration is required. Please ensure the payment details section of the form is completed.


This two day course provides an introduction to optimisation methods for use in practical applications. It covers both unconstrained and constrained optimisation methods and more advanced concepts such as dynamic optimisation and genetic algorithms. The lectures are reinforced by Hands-on simulation and design examples that provide practical experience of the concepts covered.

The Optimisation is an extremely important subject used across all the Engineering fields. For control engineering applications it is widely used for optimal control and parameter identification/estimation.

Additional Information
Event Venue

The course will be held in Scottish Engineering, 105 West George Street, Glasgow G2 1QL. Tel: 0141 221 3181


Glasgow City Centre offers a wide range of accommodation, you can find our recommendations here.

Day 1
8.45 Registration
9.00 Static Optimisation Methods: Unconstrained Optimisation
11.15 Hands-on: Static Optimisation Methods - Unconstrained
12.30 LUNCH
13.30 Static Optimisation Methods: Constrained Optimisation (Part 1)
15.15 Static Optimisation Methods: Constrained Optimisation (Part 2)
15.45 Hands-on: Static Optimisation Methods Constrained
17.00 CLOSE
Day 2
09.00 Applications of Optimisation: Optimal Control
11.00 Hands-On: Dynamic Optimisation Methods
12.30 LUNCH
13.30 Genetic and Search Algorithms
15.15 Hands-On: Genetic/Search Algorithms
17.00 CLOSE