Title :
Quantum-Inspired Electromagnetism-Like Mechanism for Solving 0/1 Knapsack Problem
Author :
Chang, Chih-Cheng ; Chen, Chi-Yuan ; Fan, Cheng-Wei ; Chao, Han-Chieh ; Chou, Yao-Hsin
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Chi Nan Univ., Puli, Taiwan
Abstract :
In this paper, we propose a novel evolutionary computing method which is called quantum-inspired electromagnetism-like mechanism (QEM) to solve 0/1 knapsack problem. QEM is based on the electromagnetism theory and using the characteristic of quantum computing. It can rapidly and efficiently find out the optimal solution of combination optimization problem. We compare the conventional genetic algorithm (CGA), quantum-inspired genetic algorithm (QGA), quantum-inspired electromagnetism-like mechanism algorithm (QEM). The experiment results show that the QEM is better than CGA, EM and QGA in general cases.
Keywords :
combinatorial mathematics; electromagnetism; genetic algorithms; knapsack problems; quantum computing; 0/1 knapsack problem; combination optimization problem; electromagnetism theory; evolutionary computing method; quantum computing; quantum-inspired electromagnetism-like mechanism algorithm; Atmospheric measurements; Force; Maintenance engineering; Mathematical model; Optimization; Particle measurements; Quantum computing;
Conference_Titel :
Information Technology Convergence and Services (ITCS), 2010 2nd International Conference on
Conference_Location :
Cebu
Print_ISBN :
978-1-4244-7584-1
Electronic_ISBN :
978-1-4244-7584-1
DOI :
10.1109/ITCS.2010.5581278