MA306-7-AU-CO:
Combinatorial Optimisation

The details
2016/17
Mathematics, Statistics and Actuarial Science (School of)
Colchester Campus
Autumn
Postgraduate: Level 7
Current
15
-

 

Requisites for this module
(none)
(none)
(none)
(none)

 

(none)

Key module for

DIP G20109 Optimisation and Data Analytics,
MSC G20312 Optimisation and Data Analytics

Module description

The module aims to provide an understanding at postgraduate level of combinatorial optimisation. It aims to understand the mathematical underpinnings of algorithms commonly used in the solution of mathematical programming models where some or all
of the variables are integer. The focus is on applying such algorithms to solve integer and mixed integer models.

Syllabus

- Modelling integer and mixed-integer programming problems (Assignment problem, Travelling Salesman problem, Set Covering problem, Knapsack problem etc.).
- Modelling logical statements and constraints using Binary variables.
- Special purpose algorithms and their applications.
- Polyhedral theory.
- Convex hull, strong valid inequalities and facets for structured problems.
- Duality and relaxation.
- General integer programming algorithms (Branch-and-Bound, Gomory’s Cutting Plan).
- Benders’ decomposition and reformulation.
- (probably) Unimodularity.

On completion of the module, students should be able to:
- formulate planning and scheduling problems as integer programs;
- describe feasible sets as polyhedra using facets, rays and vertices;
- generate valid inequalities for feasible sets;
- use linear programming relaxation and duality to generate upper bounds for integer programs' objective values;
- solve integer programs with cutting-plane algorithms;
- solve integer and mixed integer programs with Branch-and-Bound;
- apply Benders' decomposition algorithm to mixed integer programs.

Module aims

No information available.

Module learning outcomes

No information available.

Module information

No additional information available.

Learning and teaching methods

There are 5 lectures and two classes in every fortnight. There will be regular assessed material at postgraduate level which will be discussed in one of the fortnightly classes. In the Summer term 3 revision lectures are given.

Bibliography

(none)

Assessment items, weightings and deadlines

Coursework / exam Description Deadline Coursework weighting
Coursework   Homework 1     
Coursework   Homework 2     
Coursework   Homework 3     
Coursework   Homework 4     
Coursework   Homework 5     
Exam  Main exam: 120 minutes during Summer (Main Period) 

Additional coursework information

Information about coursework deadlines can be found in the "Coursework Information" section of the Current Students, Useful Information Maths web pages: Coursework and Test Information

Exam format definitions

  • Remote, open book: Your exam will take place remotely via an online learning platform. You may refer to any physical or electronic materials during the exam.
  • In-person, open book: Your exam will take place on campus under invigilation. You may refer to any physical materials such as paper study notes or a textbook during the exam. Electronic devices may not be used in the exam.
  • In-person, open book (restricted): The exam will take place on campus under invigilation. You may refer only to specific physical materials such as a named textbook during the exam. Permitted materials will be specified by your department. Electronic devices may not be used in the exam.
  • In-person, closed book: The exam will take place on campus under invigilation. You may not refer to any physical materials or electronic devices during the exam. There may be times when a paper dictionary, for example, may be permitted in an otherwise closed book exam. Any exceptions will be specified by your department.

Your department will provide further guidance before your exams.

Overall assessment

Coursework Exam
20% 80%

Reassessment

Coursework Exam
0% 0%
Module supervisor and teaching staff
Dr Xinan Yang, email xyangk@essex.ac.uk, tel 01206 872787
Mrs Shauna Meyers - Graduate Administrator. email: smcnally (Non essex users should add @essex.ac.uk to create the full email address), Tel 01206 872704

 

Availability
No
No
No

External examiner

No external examiner information available for this module.
Resources
Available via Moodle
Of 33 hours, 33 (100%) hours available to students:
0 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).

 

Further information

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