An adaptive multiobjective evolutionary algorithm for dynamic multiobjective flexible scheduling problem
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.23090
Abstract: There are various uncertain disturbances in the actual manufacturing environment, which makes dynamic multiobjective flexible scheduling problem of flexible job shop (MDFJSP) become the research focus in the field of optimal scheduling. In this paper,… read more here.
Keywords: dynamic multiobjective; scheduling; multiobjective flexible; scheduling problem ... See more keywords
A Discrete Particle Swarm Optimization Algorithm With Adaptive Inertia Weight for Solving Multiobjective Flexible Job-shop Scheduling Problem
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2974014
Abstract: A discrete particle swarm optimization algorithm with adaptive inertia weight (DPSO-AIW) is proposed to solve the multiobjective Flexible Job-shop Scheduling Problem. The algorithm uses a two-layer coding structure to encode the chromosomes, namely operation sequence… read more here.
Keywords: multiobjective flexible; discrete particle; optimization algorithm; inertia weight ... See more keywords