This paper presents a reinforced genetic approach to a defined d-resource system optimization problem. The classical evolution schema was ineffective due to a very strict feasibility function in the studied problem. Hence, the presented strategy has introduced several modifications and adaptations to standard genetic routines, e.g.: a migration operator which is an analogy to the biological random genetic drift.

翻译：本文提出了一种强化遗传方法，用于解决定义的多资源系统优化问题。在所研究的问题中，由于可行性函数约束极为严格，经典进化框架效果不佳。因此，所提出的策略对标准遗传算法流程进行了多项改进与调整，例如：引入了迁移算子，该算子模拟了生物学中的随机遗传漂变现象。