Abstract
The article presents an adaptive method, called Free Search. It implements ideas different from other evolutionary algorithms such as Genetic Algorithms, Particle Swarm Optimisation, Differential Evolution and Ant Colony Optimisation. Free Search is based on original concepts for individual intelligence and independence of the population members. It is applied to optimisation of time dependent data and tries to find and to track optimal solutions, which change their locations during the period of search. The aim is to find an answer to the question - how Free Search behaves when the global optimum leaves the search space. The achieved experimental results are presented and discussed.
| Original language | English |
|---|---|
| Title of host publication | Advanced Topics on Evolutionary Computing |
| Place of Publication | Bulgaria |
| Publisher | WSEAS Press |
| Pages | 127-132 |
| Number of pages | 6 |
| ISBN (Print) | 978 960 6766 58 9 |
| Publication status | Published - 1 May 2008 |