TY - JOUR
T1 - Free Search - A comparative analysis
AU - Penev, Kalin
AU - Littlefair, Guy
PY - 2005/6/9
Y1 - 2005/6/9
N2 - The article presents a novel population-based optimisation method, called Free Search (FS). Essential peculiarities of the new method are introduced. The aim of the study is to identify how robust is Free Search. Explored and compared are four different population-based optimisation methods, namely Genetic Algorithm (in real coded BLX-α modification), Particle Swarm Optimisation, Differential Evolution and Free Search. They are applied to five non-linear, heterogeneous, numerical, optimisation problems. The achieved results suggest that Free Search has stable robust behaviour on explored tests; FS can cope with heterogeneous optimisation problems; FS is applicable to unknown (black-box) real-world optimisation tasks.
AB - The article presents a novel population-based optimisation method, called Free Search (FS). Essential peculiarities of the new method are introduced. The aim of the study is to identify how robust is Free Search. Explored and compared are four different population-based optimisation methods, namely Genetic Algorithm (in real coded BLX-α modification), Particle Swarm Optimisation, Differential Evolution and Free Search. They are applied to five non-linear, heterogeneous, numerical, optimisation problems. The achieved results suggest that Free Search has stable robust behaviour on explored tests; FS can cope with heterogeneous optimisation problems; FS is applicable to unknown (black-box) real-world optimisation tasks.
KW - Adaptive computing
KW - Ant colony search
KW - Artificial intelligence
KW - Differential evolution
KW - Evolutionary computation
KW - Free Search
KW - Genetic algorithm
KW - Particle swarm optimisation
UR - https://www.scopus.com/pages/publications/18144378777
U2 - 10.1016/j.ins.2004.09.001
DO - 10.1016/j.ins.2004.09.001
M3 - Article
AN - SCOPUS:18144378777
SN - 0020-0255
VL - 172
SP - 173
EP - 193
JO - Information Sciences
JF - Information Sciences
IS - 1-2
ER -