Title :
Free search of global value
Author :
Vasileva, Vesela ; Penev, Kalin
Author_Institution :
Technol. Sch., Southampton Solent Univ., Southampton, UK
Abstract :
This article presents a novel investigation on two real value methods Free Search and Particle Swarm Optimization applied to global optimization numerical tests. The objective is to identify how to facilitate assessment of heuristic, evolutionary, adaptive and other optimization and search algorithms. Particular aim is to measure: (1) probability for success of given method; (2) abilities of given method for entire search space coverage; (3) dependence on initialization; (4) abilities of given method to escape from trapping in local sub-optima. Achieved experimental results are presented and analyzed.
Keywords :
evolutionary computation; particle swarm optimisation; probability; search problems; adaptive algorithm; evolutionary algorithm; global optimization numerical test; global value free search; heuristic algorithm; initialization dependence; local suboptima trapping; particle swarm optimization; real value method; search algorithm assessment; search space coverage; success probability; Charge carrier processes; Convergence; Linear programming; Optimization; Particle swarm optimization; Search problems; Sociology; Free Search; Global Optimization; Heuristic Methods; Numerical Tests; Particle Swarm Optimization;
Conference_Titel :
Intelligent Systems (IS), 2012 6th IEEE International Conference
Conference_Location :
Sofia
Print_ISBN :
978-1-4673-2276-8
DOI :
10.1109/IS.2012.6335172
