Zhile Yang

TL;DR: Wang et al. as discussed by the authors used a swarm intelligence optimization algorithm-Sparrow Search Algorithm (SSA) to solve the problem of the longest processing time of workshop scheduling, which can not only achieve ideal optimization accuracy in the test function, but also can achieve acceleration effects and solving capabilities that other algorithms do not have in actual shop scheduling problems.

TL;DR: In this paper , a modified learner phase and a new gradient-based mutation strategy are proposed in an improved TLBO algorithm (TLBO-LM) to improve the local optima avoidance capability and to increase the convergence speed.

TL;DR: A load demand–power generation equivalent forecasting method is proposed to improve the strategy through replacing information of load demand by predicted power output, which removes the load prediction center and load sensor devices.

TL;DR: In this article , an actor-critic RL framework with multi-constraint and multi-objective design is developed to solve the problem of adaptive process control subject to time-varying tool wear.

TL;DR: An optimization model named CCLOP is proposed for offshore wind farms that incorporates both the cable capital cost and the cost of power losses associated with the cables in its objective function and can help find a solution that is 12.74% outperformed than a benchmark.