In order to improve the search ability of the algorithm, the Q-learning algorithm is introduced to select the appropriate genetic operation from ten genetic operators according to the current state of ...

This paper proposes an automatic region-based layout optimization method for substation main wiring diagrams using a improved genetic algorithm. The method addresses the problems of low space ...

The resource-constrained project scheduling problem (RCPSP) poses several challenges for optimizing activity-on-arc network planning. The existing genetic algorithms for solving this problem have high ...

Compared with other meta heuristics algorithm, genetic algorithm has the advantages of wide application range, strong expansibility, and not easy to fall into local optimal solution, etc. it is also ...