Titlebook: Advances in Swarm and Computational Intelligence; 6th International Co Ying Tan,Yuhui Shi,Andries Engelbrecht Conference proceedings 2015 S

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The Basics of Object-Oriented Programming,rsity-PSO, AWDPSO). Three representative benchmark test functions are used to test and compare proposed methods, which are LWDPSO and AWDPSO, with state-of-the-art approaches. Experimental results show that proposed methods can provide the higher optimization accuracy and much faster convergence speed.

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Structural Damage Detection and Moving Force Identification Based on Firefly Algorithmm subjected to moving forces is taken as an example for numerical simulations. The illustrated results show that the method can simultaneously identify the structural damages and moving forces with a good accuracy and better robustness to noise.

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Social media as influence factor of quality the proposed method to other particle swarm optimization variants, which indicates the strategy is highly applicatory. The proposed approach is validated using several classic test functions, and the experiment results show efficiency in the convergence performance and the distribution of the Pareto optimal solutions.

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Effects of Topological Variations on Opinion Dynamics Optimizerhave introduced three new variants of CODO and studied the efficacy of algorithms on several benchmark functions. Experimentation demonstrates that scale free CODO performs significantly better than all algorithms. Also, the role played by individuals with different degrees during the optimization process is studied.