CE310-6-PT-CA:
Evolutionary Computation and Genetic Programming
2018/19
Computer Science and Electronic Engineering (School of)
Colchester Campus & Apprenticeship Location
Spring Special
Undergraduate: Level 6
Current
Monday 14 January 2019
Friday 22 March 2019
15
-
Requisites for this module
(none)
(none)
(none)
(none)
(none)
Learning Outcomes
The aim of this module is to give an introduction to the main techniques of evolutionary computation and genetic programming.
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.
Outline Syllabus
Evolution in Nature
Evolution Strategies
Genetic Algorithms
The basics of Genetic Programming (GP)
Fitness functions in GP
Advanced Representations
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.
No information available.
No information available.
STUDENTS SHOULD NOTE THAT THIS MODULE INFORMATION IS SUBJECT TO REVIEW AND CHANGE
Work-based-learning supported by online course material and webinars. The students will receive via Moodle and Listen Again all lectures given in CE212.
This module does not appear to have a published bibliography.
Assessment items, weightings and deadlines
| Coursework / exam |
Description |
Deadline |
Coursework weighting |
| Coursework |
Mini project |
|
66.67% |
| Written Exam |
Progress Test - wk 20 |
|
33.33% |
| Exam |
Main exam: 120 minutes during Early Exams
|
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
Reassessment
Module supervisor and teaching staff
Prof Reinhold Scherer, email: r.scherer@essex.ac.uk.
Professor Riccardo Poli
CSEE School Office, email: csee-schooloffice (non-Essex users should add @essex.ac.uk to create full e-mail address), Telephone 01206 872770
No
No
No
Dr Ke Chen
The University of Manchester
Senior Lecturer
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).
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