May 16, 2019 · This problem consists of two subproblems: 1) how to choose a factory for each job and 2) how to schedule all jobs within the assigned factories.
To solve the DHFS problem, a mathematical model is formulated. Then, inspired by successful applications of brain storm optimization (BSO) algorithm in ...
This problem consists of two subproblems: 1) how to choose a factory for each job; 2) how to schedule all jobs within the assigned factories. To solve the DHFS ...
TL;DR: This study aims to solve the DHFS problem, in which multiple factories with hybrid flowshop scheduling (HFS) problems are considered, and proposes a ...
Mar 15, 2021 · An improved version of brain storm optimization was developed, where the objective is to minimize the maximum type-2 fuzzy completion time among all factories.
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The experimental results demonstrate that the proposed algorithm is more efficient and effective for solving the considered type-2 fuzzy DHFS problems in ...
In this paper, a Discrete Brain Storm Optimization (DBSO) algorithm is proposed to handle SRCC scheduling problems. In the proposed DBSO, population ...
Jul 8, 2020 · This paper is the first research to solve the distributed hybrid flowshop scheduling problem.The proposed SIG algorithm provides a practical ...
Oct 22, 2024 · A modified brain storm optimization algorithm with a special operator to solve constrained optimization problems. Article. Full-text available.
This paper presents the BSO algorithm as a solution to the Flexible Job-Shop Scheduling Problem (FJSSP). In aim to improve the global search of the BSO ...