Title :
A novel hybrid penguins search optimization algorithm to solve travelling salesman problem
Author :
Ilyass Mzili;Morad Bouzidi;Mohammed Essaid Riffi
Author_Institution :
Computer Science Dept Faculty of Sciences, Choua?b Doukkali University, El Jadida, Morocco
Abstract :
Metaheuristics form a family of optimization algorithms for solving combinatorial optimization problems by applying the research procedures to quickly find a good approximation of the best solution. In this paper we proposed a new metaheuristic novel hybrid penguins search optimization algorithm (NPeSOA) which is based on the combination of penguins search optimization algorithm (PeSOA) and harmony search algorithm (HS) to solve the Travelling Salesman Problem. The search for harmony was added to improve the research technique of PeSOA method. The results of this experience are tested by the instances of TSPLib, and compared with the methods of PeSOA and HS to show the efficiency of NPeSOA.
Keywords :
"Optimization","Search problems","Sociology","Statistics","Traveling salesman problems","Urban areas","Algorithm design and analysis"
Conference_Titel :
Complex Systems (WCCS), 2015 Third World Conference on
DOI :
10.1109/ICoCS.2015.7483237