SIAM Journal on Discrete Mathematics
Swarm intelligence
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
Linear time algorithms for the ring loading problem with demand splitting
Journal of Algorithms
A survey: algorithms simulating bee swarm intelligence
Artificial Intelligence Review
Solving ring loading problems using bio-inspired algorithms
Journal of Network and Computer Applications
IEEE 802.17 resilient packet ring tutorial
IEEE Communications Magazine
Exact solution of the SONET Ring Loading Problem
Operations Research Letters
On the ring loading problem with demand splitting
Operations Research Letters
The IEEE 802.17 media access protocol for high-speed metropolitan-area resilient packet rings
IEEE Network: The Magazine of Global Internetworking
Swarm optimisation algorithms applied to large balanced communication networks
Journal of Network and Computer Applications
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The massive growth of the Internet traffic in the last decades has motivated the design of high-speed optical networks. Resilient Packet Ring (RPR), also known as IEEE 802.17, is a standard designed for optimising the transport of data traffic over optical fiber ring networks. In this paper, we consider a Weighted Ring Arc-Loading Problem (WRALP), which arises in engineering and planning of the RPR systems. The WRALP is a combinatorial optimisation NP-complete problem. Given a set of point-to-point unidirectional traffic demands of a specified bandwidth, the demands should be assigned to the clockwise or to the counter-clockwise ring in order to yield the best performance. This paper suggests an efficient load balancing algorithm - the Bees Algorithm. We compare our results with nine meta-heuristics used in literature to solve the same problem. The simulation results verify the effectiveness and robustness of the Bees Algorithm.