DocumentCode :
1634193
Title :
DEM: A discrete electromagnetism-like mechanism for solving discrete problems
Author :
Aghalatifi, Omid ; Bonyadi, Mohammad Reza
Author_Institution :
ECE Fac., Islamic Azad Univ., Tehran, Iran
fYear :
2009
Firstpage :
120
Lastpage :
125
Abstract :
In this paper a novel model based on electromagnetism-like mechanism (EM) is proposed which is highly compatible with discrete space problems. The proposed method utilizes the EM operators to move particles towards an optimal or near optimal solutions. In fact, the proposed algorithm exploits the crossover operator to calculate forces on particles and move them according to these forces. To keep the algorithm from getting sock on local maxima a mutation approach is used. To show the performance of the proposed method it is applied on a discrete space problem called multidimensional knapsack problem (MKP). To compare our results, some standard test benches of the MKP are used and the results are compared with other methods. Experimental results showed that the proposed method outperforms some new methods in terms of the number of needed iterations to find best known solutions (about 73% in average) and CPU time (about 77%). Furthermore, the DEM is applied on some bigger MKPs and the experiments showed that the algorithm works very well and had very small error from best known optimums (0.17% error in average).
Keywords :
artificial intelligence; knapsack problems; optimisation; DEM; EM operators; crossover operator; discrete electromagnetism-like mechanism; discrete problems; discrete space problems; multidimensional knapsack problem; mutation approach; Ant colony optimization; Approximation algorithms; Computer errors; Electromagnetic modeling; Genetic algorithms; Multidimensional systems; NP-hard problem; Optimization methods; Particle swarm optimization; Testing; Electromagnetism-Like Meta-Heuristic; Multidimensional Knapsack Problem; NP-Hard; Swarm Intelligence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence in Robotics and Automation (CIRA), 2009 IEEE International Symposium on
Conference_Location :
Daejeon
Print_ISBN :
978-1-4244-4808-1
Electronic_ISBN :
978-1-4244-4809-8
Type :
conf
DOI :
10.1109/CIRA.2009.5423222
Filename :
5423222
Link To Document :
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