In close collaboration with Seoul National University's Structural Complexity Laboratory

 

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about:aims [2010/10/27 02:00]
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about:aims [2010/10/29 01:40] (current)
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 Our work is particularly inspired by the ability of natural systems to cope with unbounded complexity (the real world), and to generate systems and solutions with highly structured complexity (our DNA is highly structured, with analogues to sub-programs and parameter passing). Our work is particularly inspired by the ability of natural systems to cope with unbounded complexity (the real world), and to generate systems and solutions with highly structured complexity (our DNA is highly structured, with analogues to sub-programs and parameter passing).
 +
 +=====Projects of the lab include=====
 +  * Development of new methods. We particularly focus on ways to decompose problems into simpler problems. ​
 +      * Grammar-based estimation of distribution algorithms, which lead naturally into the area of identification and promotion of generalised building blocks ​
 +      * Measurement of building block repetition and retention through compression metrics ​
 +      * Incremental learning and developmental evaluation ​
 +      * Understanding problem and population complexity through information metrics ​  
 + 
 +   * Understanding and extension of existing methods. ​
 +       * Grammar-based representations for Genetic Programming ​
 +       * Operators in Genetic Programming ​
 +       * Fitness landscapes in Genetic Programming ​
 +       * Diversity mechanisms in Genetic Programming ​
 +       * Parallel evolutionary algorithms ​
 +       * Evolutionary algorithms for dynamic environments ​
 +       * Multi-objective evolutionary algorithms
 + 
 +  * Application of existing methods. Current and previous applications include
 +      * Ecosystem Modelling
 +      * Software Cost Estimation ​
 +      * Phased Array Radar Beam Optimisation
 +      * Intrusion detection in computer networks