Evolutionary Computation and Genetic Programming
Computer Science and Electronic Engineering (School of)
Undergraduate: Level 6
Monday 13 January 2020
Friday 20 March 2020
07 May 2019
Requisites for this module
This module will give an introduction to: evolutionary computation and genetic programming; evolutionary algorithms & their relationships; genetic programming compared to evolutionary algorithms, and in the process identify good genetic programming techniques to control parameter settings.
The aim of this module is to give an introduction to the main techniques of evolutionary computation and genetic programming including: evolutionary algorithms & their relationships; genetic programming versus evolutionary algorithms; identify good genetic programming techniques; and identify good parameter settings.
After completing this module, students will be expected to be able to:
1. Demonstrate an understanding of evolutionary algorithms and their relationships.
2. Demonstrate an understanding of genetic programming and its relationship with other evolutionary algorithms.
3. Categorise typical genetic programming application domains and associate these with good genetic programming techniques.
4. Determine the right parameter settings and specialise existing genetic programming operators, representations and fitness functions for specific applications.
Evolution in Nature
The basics of Genetic Programming (GP)
Fitness functions in GP
Code growth and methods to control it
Applications of GP.
Criteria for human-competitive machine intelligence and review of GP's human-competitive results
Advanced techniques and tricks of the trade.
Lectures, classes and laboratories
- Poli, Riccardo; Langdon, W. B.; McPhee, Nicholas F.; Koza, John R. (2008) A field guide to genetic programming, [S.I.]: lulu.com.
The above list is indicative of the essential reading for the course. The library makes provision for all reading list items, with digital provision where possible, and these resources are shared between students. Further reading can be obtained from this module's reading list.
Assessment items, weightings and deadlines
|Coursework / exam
||Progress Test - wk 19
||120 minutes during Early Exams (Main)
Module supervisor and teaching staff
Professor Reinhold Scherer
CSEE School Office, email: csee-schooloffice (non-Essex users should add @essex.ac.uk to create full e-mail address), Telephone 01206 872770
No external examiner information available for this module.
Available via Moodle
Of 33 hours, 32 (97%) hours available to students:
1 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).
Disclaimer: The University makes every effort to ensure that this information on its Module Directory is accurate and up-to-date. Exceptionally it can
be necessary to make changes, for example to programmes, modules, facilities or fees. Examples of such reasons might include a change of law or regulatory requirements,
industrial action, lack of demand, departure of key personnel, change in government policy, or withdrawal/reduction of funding. Changes to modules may for example consist
of variations to the content and method of delivery or assessment of modules and other services, to discontinue modules and other services and to merge or combine modules.
The University will endeavour to keep such changes to a minimum, and will also keep students informed appropriately by updating our programme specifications and module directory.
The full Procedures, Rules and Regulations of the University governing how it operates are set out in the Charter, Statutes and Ordinances and in the University Regulations, Policy and Procedures.