Abstract
Hydraulic shovel is widely used in mining industry around the world for materials excavation and loading. The mechanical design of hydraulic shovel remains a challenging optimization problem. To address this issue, we establish the many-objective optimization model of a new type hydraulic shovel named TriRocker. An improved reference points-based many-objective differential evolution algorithm is proposed to solve the optimization problem which outperforms twelve state-of-the-art multi-objective and many-objective evolutionary algorithms in the case study. Then the most satisfactory solution is chosen from the obtained non-dominated solutions by a multicriteria decision-making method. Based on the selected solution, a wonderful design of TriRocker hydraulic shovel is obtained. Furthermore, a marketable prototype of 85-ton TriRocker hydraulic shovel is developed by the proposed optimization method. The result demonstrates the feasibility and effectiveness of the many-objective evolutionary algorithm and multicriteria decision-making method in solving the optimization problem of hydraulic shovel.
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