DocumentCode :
226599
Title :
Engineering optimization using interior search algorithm
Author :
Gandomi, Amir H. ; Roke, David A.
Author_Institution :
Dept. of Civil Eng., Univ. of Akron, Akron, OH, USA
fYear :
2014
fDate :
9-12 Dec. 2014
Firstpage :
1
Lastpage :
7
Abstract :
A new global optimization algorithm, the interior search algorithm (ISA), is introduced for solving engineering optimization problems. The ISA has been recently proposed and has two new search operators, composition optimization and mirror search. In the current study, the optimization process starts with composition optimization and linearly switches to mirror search. For validation against engineering optimization problems, ISA is applied to several benchmark engineering problems reported in the literature. The optimal solutions obtained by ISA are better than the best solutions obtained by the other methods representative of the state-of-the-art in optimization algorithms.
Keywords :
optimisation; search problems; ISA; composition optimization; engineering optimization problems; global optimization algorithm; interior search algorithm; mirror search; search operators; Algorithm design and analysis; Concrete; Gears; Linear programming; Mirrors; Optimization; Pistons; Interior search algorithm; engineering optimization; global optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Swarm Intelligence (SIS), 2014 IEEE Symposium on
Conference_Location :
Orlando, FL
Type :
conf
DOI :
10.1109/SIS.2014.7011771
Filename :
7011771
Link To Document :
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