Sorting-Based Discrete Artificial Bee Colony Algorithm for Solving Fuzzy Hybrid Flow Shop Green Scheduling Problem

In this era of unprecedented economic and social prosperity, problems such as energy shortages environmental pollution are gradually coming to the fore, which seriously restrict development. order solve these problems, green shop scheduling, is a key aspect manufacturing industry, has attracted attention researchers, widely used flow scheduling problem (HFSP) become hot topic research. paper, we study fuzzy hybrid (FHFGSP) with processing time, objective minimizing makespan total consumption. This more in line real-life situations. The non-linear integer programming model FHFGSP built by expressing job times triangular numbers (TFN) considering machine setup when different jobs. To address FHFGSP, discrete artificial bee colony (DABC) algorithm based on similarity non-dominated solution ordering proposed, allows individuals explore their neighbors degrees employed phase according sequence positions, increasing diversity algorithm. During onlooker phase, at front have higher chance being tracked, convergence rate colony. addition, mutation strategy proposed prevent population from falling into local optimum. verify effectiveness algorithm, 400 test cases were generated, comparing overall each other evaluating them using three metrics. experimental results show that outperforms algorithms terms quantity, quality, diversity.