Atom search optimization is a new intelligent algorithm based on molecular dynamics model. In order to Improve convergence race and overcome the shortcoming of the atom search optimization which is easy to fall into the local extremum and easy to premature convergence
atom search optimization based on Golden-sine algorithm was proposed.It designs golden sine algorithm as a local optimization operator to optimizing the atom agent. The improved algorithm make each atom agent fully absorb information from the best agent
which effectively improve the optimization way of ASO and improve the convergence and accuracy of the optimization. Experiments show that the improved atom optimization algorithm has better performance.
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YANG X S. Flower Pollination Algorithm for Global Optimization[C]// International Conference on Unconventional Computation and Natural Computation. Springer-Verlag, 2012: 240-249.
PASSINO K M. Biomimicry of bacterial foraging for distributed optimization and control[J]. IEEE Control Systems, 2002, 22(3):52-67. DOI: 52
CICCOTTI G, FERRARIO M, RYCKAERT J P. Molecular dynamics of rigid systems in cartesian coordinates A general formulation[J]. Molecular Physics, 1982, 47(6):1253-1264. DOI: 1253
GOLDSTEIN H, POOPLE C, SAFKO J, et al. Classical Mechanics, 3rd ed.[J]. American Journal of Physics, 2002, 70(7):782-783. DOI: 782
YANG X S, GANDOMI A H. Bat algorithm: a novel approach for global engineering optimization[J]. Engineering Computations, 2012, 29(5): 464-483. DOI: 464
ZHAO W, WANG L, ZHANG Z. A novel atom search optimization for dispersion coefficient estimation in groundwater[J]. Future Generation Computer Systems, 2018, 91(2):601-610. DOI: 601
TANYILDIZI E, DEMIR G. Golden Sine Algorithm: A Novel Math-Inspired Algorithm[J]. Advances in Electrical % Computer Engineering, 2017, 17(2):71-78. DOI: 71