Programme And Module Handbook
 
Course Details in 2025/26 Session


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Module Title LH Evolutionary Computation
SchoolComputer Science
Department Computer Science
Module Code 06 37204
Module Lead Per Kristian Lehre and Shan He
Level Honours Level
Credits 20
Semester Semester 2
Pre-requisites LI Functional Programming - (06 34254)
Co-requisites
Restrictions Please contact the School for information on pre-requisite learning.
Contact Hours Lecture-33 hours
Practical Classes and workshops-22 hours
Guided independent study-145 hours
Total: 200 hours
Exclusions
Description Evolutionary algorithms (EAs) are a class of optimisation techniques drawing inspiration from principles of biological evolution. They typically involve a population of candidate solutions from which the better solutions are selected, recombined, and mutated to form a new population of candidate solutions. This continues until an acceptable solution is found. Evolutionary algorithms are popular in applications where no problem-specific method is available, or when gradient-based methods fail. They are suitable for a wide range of challenging problem domains, including dynamic and noisy optimisation problems, constrained optimisation problems, and multi-objective optimisation problems. EAs are used in a wide range of disciplines, including optimisation, engineering design, machine learning, financial technology (“fintech”), and artificial life. In this module, we will study the fundamental principles of evolutionary computation, a range of different EAs and their applications, and a selection of advanced topics which may include time-complexity analysis, neuro-evolution, co-evolution, model-based EAs, and modern multi-objective EAs.
Learning Outcomes By the end of the module students should be able to:
  • Describe, and apply the principles of evolutionary computation
  • Explain and compare different evolutionary algorithms
  • Design and adapt evolutionary algorithms for non-trivial problems
Assessment 37204-01 : Examination : Exam (Centrally Timetabled) - Written Unseen (50%)
37204-02 : Continuous Assessment : Coursework (50%)
Assessment Methods & Exceptions Assessment: Continuous Assessment (50%)
Examination (50%)
Other This is the Dubai version of the module (the Bham version has code 35310)
Reading List