Flexible job shop scheduling problem (FJSP) is a discrete combinatorial optimisation problem. By considering its characteristics, a kind of adaptive ...
Apr 8, 2019 · The comparison results show that ADCSO is effective for the problem under study. Keywords. flexible job shop scheduling, combinatorial ...
Apr 19, 2019 · Adaptive discrete cat swarm optimisation algorithm for the flexible job shop problem by Tian-hua Jiang; Chao Zhang
Jiang et al. presented a discrete cat swarm optimization algorithm in order to solve a low-carbon flexible job shop scheduling problem with the objective of ...
This research paper aims to provide a new adaptation to solve the job shop scheduling problem. Discrete cat swarm optimization algorithm (CSO) consists of ...
6 days ago · ... (Adaptive Discrete Cat Swarm Optimisation Algorithm for the Flexible Job Shop Problem) ... Algorithms · Machine learning · Optimization theory.
Apr 16, 2024 · The flexible job shop scheduling problem (FJSP) is an NP-hard combinatorial optimization problem, which has wide applications in the real world.
The formulation of the JSP is based on the assumption that for each part type or job there is only one process plan that prescribes the sequence of operations ...
The paper proposes an improved particle swarm optimization (PSO) algorithm for solving FJSP and obtains beneficial solutions by improvement on encoding/ ...
An improved quantum cat swarm optimization (QCSO) algorithm is proposed to solve the problem, a quantum coding method is introduced, the quantum bit (Q-bit) and ...
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