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The assembly sequence in the product assembly process has effect on the final product quality. To solve the assembly sequence optimization problem, such as rotor blade assembly sequence optimization, this paper proposes a small world networks-based genetic algorithm (SWN_GA) to solve the assembly sequence optimization problem. The proposed approach SWN_GA consists of a combination between the standard Genetic Algorithm and the NW Small World Networks.

The selection operation and the crossover operation are improved in this paper. The selection operation remains the elite individuals that have greater fitness than average fitness and reselects the individuals that have smaller fitness than average fitness. The crossover operation combines the NW Small World Networks to select the crossover individuals and calculate the crossover probability.

In this paper, SWN_GA is used to optimize the assembly sequence of steam turbine rotor blades, and the SWN_GA was compared with standard GA and PSO algorithm in a simulation experiment. The simulation results show that SWN_GA cannot only find a better assembly sequence which have lower rotor imbalance, but also has a faster convergence rate.

Finally, an experiment about the assembly of a steam turbine rotor is conducted, and SWN_GA is applied to optimize the blades assembly sequence. The feasibility and effectiveness of SWN_GA are verified through the experimental result.

The purpose of this research is to deal with the human capital disclosure issue of present accounting systems. Many companies nowadays derive their competitive advantages mainly from human capital. However, under generally accepted accounting principles, all human‐related expenditures are treated as expenses, which are deductions of revenues, thus misleading decision‐makers into inappropriate judgments. This paper provides an alternative way of measurement and disclosure of human capital items in financial statements. The paper defines and classifies the human capital of a company in line with a theoretical framework provided by the authors, sorts out company's human capital investments according to cost development stages in human resources, isolates human capital from expenses and finally suggests disclosure in financial statements.