Combinatorial optimization method for shipping machinery based on hybrid PSO

As the combinatorial optimization problem of material shipping machinery in constructing rock-fill dam is very complicated, a multi-objective nonlinear combination optimization model (MOOM) is proposed. Furthermore, weights method and penalty function are introduced to the standard particle swarm optimization with constriction factor. Along this line, a novel hybrid particle swarm algorithm (MI-HPSO) is proposed to solve the multi-objective nonlinear combination optimization problem. MI-HPSO algorithm involves less parameter and thus is much simpler, which leads to rapid speed of convergence and strong capability of global search. Finally, a case of rock-fill dam in China is studied and the experiment result shows that the MOOM model and MI-HPSO algorithm are efficient ways to solve machines combinatorial problem of material distribution in constructing rock-fill dam.