Abstract
In this paper, we analyze the landscape of knapsack problems and propose a new search method called structure oriented search algorithm (SOSA). The heuristic search methods such as a simulated annealing and a genetic algorithm can be applied to complex optimization problems such as combinatorial ones. However, these methods are often redundant and inefficient. The key idea of the SOSA is approximating the landscape structure of the search space, so that the sampling domain can be directly moved to the promising region. The numerical experiments to solve knapsack problems have been conducted and the results are compared with that of genetic algorithms. The experimental results show the effectiveness of our method from the viewpoint of accuracy and calculation cost.
Original language | English |
---|---|
Title of host publication | Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics |
Pages | 5941-5946 |
Number of pages | 6 |
Volume | 6 |
DOIs | |
Publication status | Published - 2004 |
Event | 2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004 - The Hague Duration: 2004 Oct 10 → 2004 Oct 13 |
Other
Other | 2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004 |
---|---|
City | The Hague |
Period | 04/10/10 → 04/10/13 |
Keywords
- Big-valley structure
- Knapsack problem
- Stochastic optimization
- Structure oriented search algorithm
ASJC Scopus subject areas
- Engineering(all)