A comprehensive review on NSGA-II for multi-objective combinatorial optimization problems

S Verma, M Pant, V Snasel - IEEE access, 2021 - ieeexplore.ieee.org
This paper provides an extensive review of the popular multi-objective optimization
algorithm NSGA-II for selected combinatorial optimization problems viz. assignment …

A survey of job shop scheduling problem: The types and models

H Xiong, S Shi, D Ren, J Hu - Computers & Operations Research, 2022 - Elsevier
Job shop scheduling problem (JSSP) is a thriving area of scheduling research, which has
been concerned and studied widely by scholars in engineering and academic fields. This …

A Pareto-based hybrid iterated greedy algorithm for energy-efficient scheduling of distributed hybrid flowshop

C Lu, Q Liu, B Zhang, L Yin - Expert Systems with Applications, 2022 - Elsevier
Due to its practicality, hybrid flowshop scheduling problem (HFSP) with productivity objective
has been extensively explored. However, studies on HFSP considering green objective in …

Dynamic scheduling for flexible job shop with new job insertions by deep reinforcement learning

S Luo - Applied Soft Computing, 2020 - Elsevier
In modern manufacturing industry, dynamic scheduling methods are urgently needed with
the sharp increase of uncertainty and complexity in production process. To this end, this …

Dynamic multi-objective scheduling for flexible job shop by deep reinforcement learning

S Luo, L Zhang, Y Fan - Computers & Industrial Engineering, 2021 - Elsevier
In modern volatile and complex manufacturing environment, dynamic events such as new
job insertions and machine breakdowns may randomly occur at any time and different …

[HTML][HTML] The flexible job shop scheduling problem: A review

S Dauzère-Pérès, J Ding, L Shen… - European Journal of …, 2024 - Elsevier
The flexible job shop scheduling problem (FJSP) is an NP-hard combinatorial optimization
problem, which has wide applications in the real world. The complexity and relevance of the …

A knowledge-guided bi-population evolutionary algorithm for energy-efficient scheduling of distributed flexible job shop problem

F Yu, C Lu, J Zhou, L Yin, K Wang - Engineering Applications of Artificial …, 2024 - Elsevier
With the guidance of the advanced manufacturing philosophy, green scheduling and energy
efficiency have received considerable attention from enterprises and countries. Meanwhile …

An improved genetic algorithm for the flexible job shop scheduling problem with multiple time constraints

G Zhang, Y Hu, J Sun, W Zhang - Swarm and evolutionary computation, 2020 - Elsevier
The flexible job shop scheduling problem is a very important problem in factory scheduling.
Most of existing researches only consider the processing time of each operation, however …

Review on flexible job shop scheduling

J Xie, L Gao, K Peng, X Li, H Li - IET collaborative intelligent …, 2019 - Wiley Online Library
Flexible job shop scheduling problem (FJSP) is an NP‐hard combinatorial optimisation
problem, which has significant applications in the real world. Due to its complexity and …

Multi-objective metaheuristics for discrete optimization problems: A review of the state-of-the-art

Q Liu, X Li, H Liu, Z Guo - Applied Soft Computing, 2020 - Elsevier
This paper presents a state-of-the-art review on multi-objective metaheuristics for multi-
objective discrete optimization problems (MODOPs). The relevant literature source and their …