Abstract
In this paper we propose an improved genetic algorithm named Bee System. The concept of the Bee System comes from behavior of bees: first, a bee finds feed and then it notifies the information to the other many bees by dance to work together. In the proposed Bee System, each chromosome tries to find good solution individually. When some chromosome is regarded as superior one, other chromosomes try to find solution around there using multiple populations. Such a procedure is repeated. The Bee System employs some new operations such as concentrated crossover, and Pseudo-Simplex Method. By computer simulations it is confirmed that the Bee System has better performance than the conventional genetic algorithm.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| Publisher | IEEE |
| Pages | 3954-3959 |
| Number of pages | 6 |
| Volume | 4 |
| Publication status | Published - 1997 |
| Event | Proceedings of the 1997 IEEE International Conference on Systems, Man, and Cybernetics. Part 3 (of 5) - Orlando, FL, USA Duration: 1997 Oct 12 → 1997 Oct 15 |
Other
| Other | Proceedings of the 1997 IEEE International Conference on Systems, Man, and Cybernetics. Part 3 (of 5) |
|---|---|
| City | Orlando, FL, USA |
| Period | 97/10/12 → 97/10/15 |
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ASJC Scopus subject areas
- Hardware and Architecture
- Control and Systems Engineering
Cite this
Bee System : Finding solution by a concentrated search. / Sato, Tomoya; Hagiwara, Masafumi.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. Vol. 4 IEEE, 1997. p. 3954-3959.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Bee System
T2 - Finding solution by a concentrated search
AU - Sato, Tomoya
AU - Hagiwara, Masafumi
PY - 1997
Y1 - 1997
N2 - In this paper we propose an improved genetic algorithm named Bee System. The concept of the Bee System comes from behavior of bees: first, a bee finds feed and then it notifies the information to the other many bees by dance to work together. In the proposed Bee System, each chromosome tries to find good solution individually. When some chromosome is regarded as superior one, other chromosomes try to find solution around there using multiple populations. Such a procedure is repeated. The Bee System employs some new operations such as concentrated crossover, and Pseudo-Simplex Method. By computer simulations it is confirmed that the Bee System has better performance than the conventional genetic algorithm.
AB - In this paper we propose an improved genetic algorithm named Bee System. The concept of the Bee System comes from behavior of bees: first, a bee finds feed and then it notifies the information to the other many bees by dance to work together. In the proposed Bee System, each chromosome tries to find good solution individually. When some chromosome is regarded as superior one, other chromosomes try to find solution around there using multiple populations. Such a procedure is repeated. The Bee System employs some new operations such as concentrated crossover, and Pseudo-Simplex Method. By computer simulations it is confirmed that the Bee System has better performance than the conventional genetic algorithm.
UR - http://www.scopus.com/inward/record.url?scp=0031353459&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0031353459&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0031353459
VL - 4
SP - 3954
EP - 3959
BT - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
PB - IEEE
ER -