Results 111 to 120 of about 4,911,676 (214)

Robust optimization for multi-project scheduling via the critical chain method. [PDF]

PLoS One
Tian M, Li X.
europepmc   +1 more source

Label-free blood cell separation for space health monitoring using a portable blast cell biochip. [PDF]

NPJ Microgravity
Mugnano M, Cerbone V, Villone MM, Montella A, Scalia G, Capasso M, Iolascon A, Miccio L, Ferraro P, Mari S, Ferranti F, Maffettone PL.   +11 more
europepmc   +1 more source

A retail audit of mosquito control products in Bidibidi refugee settlement, northwestern Uganda. [PDF]

Malar J
McCoy KD, Nakyaze E, Tsang SW, Ellis AA, Alwano MG, D'Mello O, Van Hulle S, Harvey SA, Piccinini Black D, Sekajja J.   +9 more
europepmc   +1 more source

Characterizing full-shift worker exposures to VOCs in small-sized auto repair shops in the Tucson, Arizona, USA metropolitan area. [PDF]

Sci Rep
Lothrop N, Gutenkunst S, Fimbres J, Quijada C, Chaires M, Cortez I, Sandoval F, Camargo FJ, Ramírez DM, Gallardo EV, Torabzadeh E, Wagoner R, Lopez-Galvez N, Ingram M, Carvajal S, Billheimer D, Wolf AM, Beamer PI.   +17 more
europepmc   +1 more source

Flow shop problems

, 2008
openaire   +1 more source

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An Improved Artificial Bee Colony Algorithm With Q-Learning for Solving Permutation Flow-Shop Scheduling Problems

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023
A permutation flow-shop scheduling problem (PFSP) has been studied for a long time due to its significance in real-life applications. This work proposes an improved artificial bee colony (ABC) algorithm with $Q$ -learning, named QABC, for solving it ...
Hanxiao Li, Kaizhou Gao, Pei-yong Duan, Jun-qing Li, Le Zhang   +4 more
semanticscholar   +1 more source

Improved Meta-Heuristics for Solving Distributed Lot-Streaming Permutation Flow Shop Scheduling Problems

IEEE Transactions on Automation Science and Engineering, 2023
This paper addresses a distributed lot-streaming permutation flow shop scheduling problem that has various applications in real-life manufacturing systems.
Yuxia Pan, K. Gao, Zhiwu Li, N. Wu
semanticscholar   +1 more source

Deep Reinforcement Learning Based Optimization Algorithm for Permutation Flow-Shop Scheduling

IEEE Transactions on Emerging Topics in Computational Intelligence, 2023
As a new analogy paradigm of human learning process, reinforcement learning (RL) has become an emerging topic in computational intelligence (CI). The synergy between the RL and CI is an emerging way to develop efficient solution algorithms for solving ...
Zixiao Pan, Ling Wang, Jing-jing Wang, Jiawen Lu   +3 more
semanticscholar   +1 more source

A Pareto-Based Discrete Jaya Algorithm for Multiobjective Carbon-Efficient Distributed Blocking Flow Shop Scheduling Problem

IEEE Transactions on Industrial Informatics, 2023
Carbon peaking and carbon neutrality, which are significant strategies for national sustainable development, have attracted enormous attention from researchers in the manufacturing domain.
Fuqing Zhao, H. Zhang, Ling Wang
semanticscholar   +1 more source

Q-learning driven multi-population memetic algorithm for distributed three-stage assembly hybrid flow shop scheduling with flexible preventive maintenance

Expert systems with applications, 2023
The distributed assembly flow shop scheduling (DAFS) problem has received much attention in the last decade, and a variety of metaheuristic algorithms have been developed to achieve the high-quality solution. However, there are still some limitations. On
Yanhe Jia, Q. Yan, Hongfeng Wang
semanticscholar   +1 more source