Considering operators of the urban rail transit systems are often faced with cost control, passengers required high service quality, which has inter-affection between each other in congestion issues for peak period. A good cooperative timetable associated time-based shift radios is proposed to achieve a mutually beneficial win-win situation low energy consumption (costs), and short waiting time...

Active constrained layer damping (ACLD) has been demonstrated as an effective means of vibration and noise control for flexible structure. The overall performance of ACLD system is governed by the performance of the passive and the active controls on which the configurations of ACLD treatments have significant effect. In this paper, a multi-objective optimization model for ACLD treatments is es...

Selecting team players is a crucial and challenging task demanding considerable amount of thinking hard work by the selectors. The present study formulated selection an IPL as multi-objective optimization problem with objectives maximizing batting bowling performance squad, in which player’s estimated using efficient Batting Performance Factor Combined Bowling Rate. Also, proposed model tries t...

With the deepening of “source-load-storage” interaction and development demand response technology, emergence prosumers has led to new vitality potential for optimal operation microgrids. By implementing a mechanism prosumers, peak shaving valley filling are realized, load fluctuations balanced. However, high costs investing operating energy storage system (ESS) restrict their ability participa...

Regarding the spraying of glue on sidewall athletic footwear sole, adopting robot arm for automatic shoe soles to solve problems efficiency manpower, low precision and substandard quality. Established a spray torch model with pressure swath pf , atomizing xmlns:xlink="http://www.w3.o...

Many Multiple Objective Genetic Algorithms (MOGAs) have been designed to solve problems with multiple conflicting objectives. Incremental approach can be used to enhance the performance of various MOGAs, which was developed to evolve each objective incrementally. For example, by applying the incremental approach to normal MOGA, the obtained Incremental Multiple Objective Genetic Algorithm (IMOG...