TY - CHAP
T1 - Bees and Pollens with Communication Strategy for Optimization
AU - Pan, Tien-Szu
AU - Dao, Thi-Kien
AU - Nguyen, Trong-The
AU - Chu, Shu-Chuan
AU - Pan, Jeng-Shyang
PY - 2016
Y1 - 2016
N2 - Due to interference phenomena among constrained dimensions of the multimodal optimization or complex constrained optimization problems, a local optimum is easily converged, rather than for the expected global optimum. The enhanced diversity agent in optimal algorithms is one of the solutions to this issue. This paper proposes a novel optimization algorithm, namely BPO, based on the communication of the bees in artificial bee colony optimization (ABC), with the pollen in flower pollination algorithm (FPA) to solve the multimodal optimization problems. A new communication strategy for Bees and Pollens is presented to explore and exploit the diversity of the algorithm. Six multimodal benchmark functions are used to verify the convergent behavior, the accuracy, and the speed of the proposed algorithm. Experimental results show that the proposed scheme increases the accuracy more than the original algorithms.
AB - Due to interference phenomena among constrained dimensions of the multimodal optimization or complex constrained optimization problems, a local optimum is easily converged, rather than for the expected global optimum. The enhanced diversity agent in optimal algorithms is one of the solutions to this issue. This paper proposes a novel optimization algorithm, namely BPO, based on the communication of the bees in artificial bee colony optimization (ABC), with the pollen in flower pollination algorithm (FPA) to solve the multimodal optimization problems. A new communication strategy for Bees and Pollens is presented to explore and exploit the diversity of the algorithm. Six multimodal benchmark functions are used to verify the convergent behavior, the accuracy, and the speed of the proposed algorithm. Experimental results show that the proposed scheme increases the accuracy more than the original algorithms.
KW - Artificial bee colony optimization
KW - Communication strategy
KW - Flower pollination algorithm
KW - Multimodal optimization
UR - http://www.scopus.com/inward/record.url?scp=84961142933&partnerID=8YFLogxK
U2 - 10.1007/978-3-662-49390-8_63
DO - 10.1007/978-3-662-49390-8_63
M3 - Chapter
SN - 9783662493892
VL - 9622
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 651
EP - 660
BT - Intelligent Information and Database Systems - 8th Asian Conference, ACIIDS 2016, Proceedings
A2 - Hong, Tzung-Pei
A2 - Nguyen, Ngoc Thanh
A2 - Trawinski, Bogdan
A2 - Fujita, Hamido
PB - Springer
ER -