This study addresses key limitations of traditional algorithms in green supply chain management, including vulnerability to local optima, unsystematic population initialization, and inadequate ...

Abstract: In this article, a hybrid algorithm is proposed by combining the non-dominated sorting genetic algorithm (NSGA-II) with multi-objective particle swarm optimization (MOPSO) algorithm. The ...

Abstract: As environmental pressures rise, green manufacturing has become a central focus in industrial development. This paper addresses the green flexible job shop scheduling problem with ...

NSGA-II (Non-dominated Sorting Genetic Algorithm II) ranks solutions by dominance and uses crowding distance to keep the population spread along the front, so the result is a range of trade-offs ...

本项目实现了GA-DAA方案，将NSGA-II多目标遗传算法引入比特币PoW难度调整， 设计了基于偏差阈值的GA触发机制，实现双变量 ...