This paper proposes a novel joint resource allocation technique for flexible-grid systems by utilizing non-dominant sort genetic algorithm (NSGA-II) in a multi-objective optimization framework. It pioneers the implementation of an evolutionary mechanism to optimize resources as means of mitigation of physical layer impairments. This investigation initially introduces a proposal in which bandwidth reduction, maximization of the minimum signal-to-noise ratio (SNR) margin, and minimization/maximization of the sum of SNR margins are studied under dual-objective Pareto analysis in the link-level scenario. Later, the technique extends existing provisioning strategies for network planning by targeting the reduction of blocking and spectral utilization of optical connections.

本文通过在多目标优化框架中利用非显性排序遗传算法 (NSGA-II)，提出了一种新的柔性网格系统联合资源分配技术。它率先实施了一种进化机制来优化资源，作为减轻物理层损伤的手段。本次调查初步介绍了一个提案，其中在链路级场景下，在双目标帕累托分析下研究带宽减少、最小信噪比 (SNR) 裕度的最大化以及 SNR 裕度之和的最小化/最大化. 后来，该技术通过减少光连接的阻塞和频谱利用率来扩展现有的网络规划配置策略。