Particle Swarm Optimization for Optimal Design of Mechanical System (Chinese Edition) - Tapa blanda

Sinopsis

As problems mechanical system design becomes more complicated, using traditional optimization method is often difficult to get the optimal solution. Particle swarm optimization is a kind of effective parallel search algorithm, retaining the population-based global search strategy, and independent of characteristic information of the problem itself. Also, it uses simple velocity and displacement models, with only a few parameters needing to be adjusted. At the same time, its special memory ability makes it able to dynamically track current search situation and to adjust the search strategy. Therefore, it has stronger global convergence ability and robustness, very suitable for solving complex optimization problems. In the book, particle swarm optimization is improved aiming at the different characteristics of optimization problems on mechanical system, and it puts forward solutions suitable for different design problems on mechanical system optimization.

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