Crn 27060 pdf download

Warning You are using a web browser that we do not support. Our website will not work properly. Please update to a newer version or download a new web browser, such as Chrome or Firefox. Asymmetric Unit. Macromolecule Content Total Structure Weight: 4. This is version 1.

Water structure of a hydrophobic protein at atomic resolution: Pentagon rings of water molecules in crystals of crambin. Teeter, M. Hide Full Abstract. Reference Sequence. Particle Swarm Optimization PSO algorithm is considered as one of the crowd intelligence optimization algorithms. Dynamic optimization problems in which change s may happen over the time are harder to manage than static optimization problems.

In this paper an algorithm based on PSO and memory for solving dynamic optimization problems has been proposed. The proposed algorithm uses the memory to store the aging best solutions and uses partitioning for preventing convergence in the population. The proposed approach has been tested on moving peaks benchmark MPB.

The MPB is a suitable problem for simulating dynamic optimization problems. The experimental results on the moving peaks benchmark show that the proposed algorithm is superior to several other well-known and state-of-the-art algorithms in dynamic environments. Skip to main content. This service is more advanced with JavaScript available. Advertisement Hide. Mexican International Conference on Artificial Intelligence.

Conference paper First Online: 30 December Keywords Swarm intelligence Dynamic environment Optimization. This is a preview of subscription content, log in to check access. Branke, J.

In: Proceedings of Congress on Evolutionary Computation, vol. Yang, S. In: Rothlauf, F. EvoWorkshops LNCS, vol. IEEE Trans. Cobb, H. Grefenstette, J. Ramsey, C. In: Forrest, S.