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Evolutionary & Adaptive Computing - COM00037H

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  • Department: Computer Science
  • Credit value: 20 credits
  • Credit level: H
  • Academic year of delivery: 2024-25

Module summary

This module introduces a range of biologically-inspired approaches to computing.

Module will run

Occurrence Teaching period
A Semester 2 2024-25

Module aims

This module introduces a range of biologically-inspired approaches to computing. It provides a foundation of both theoretical and practical knowledge on the subject of evolutionary computation, an optimisation technique inspired by biological evolution. Students will have hands-on experience implementing a number of types of evolutionary algorithms using Python and the library DEAP: Distributed Evolutionary Algorithms in Python, to solve a range of different types of problems. The module also studies the use of Agents and Multi-agent Systems as a modelling paradigm, with a focus on evolutionary adaptation and learning.

Module learning outcomes

  • Design and implement evolutionary systems to address a given problem.
  • Understand the biological underpinnings of evolutionary algorithms, and use them to optimise mathematical functions and agent behaviours.
  • Define a range of agent behaviours and represent them in a form that is well suited to natural selection
  • Model processes in populations of agents using hand-written mathematical models
  • Critically evaluate the performance and implementation of evolutionary and multi agent systems.

Indicative assessment

Task % of module mark
Essay/coursework 100

Special assessment rules

None

Indicative reassessment

Task % of module mark
Essay/coursework 100

Module feedback

Feedback is provided through work in practical sessions, and after the final assessment as per normal University guidelines.

Indicative reading

++ Banzhaf et al, Genetic Programming: An Introduction, Morgan Kaufmann , 1999

++ M. Mitchell, An Introduction to Genetic Algorithms, MIT Press, 1998



The information on this page is indicative of the module that is currently on offer. The University constantly explores ways to enhance and improve its degree programmes and therefore reserves the right to make variations to the content and method of delivery of modules, and to discontinue modules, if such action is reasonably considered to be necessary. In some instances it may be appropriate for the University to notify and consult with affected students about module changes in accordance with the University's policy on the Approval of Modifications to Existing Taught Programmes of Study.