Results 131 to 140 of about 201,578 (174)

Minimizing makespan for mixed batch scheduling with identical machines and unequal ready times. [PDF]

Sci Rep
Huang J.
europepmc   +1 more source

A chimp algorithm based on the foraging strategy of manta rays and its application. [PDF]

PLoS One
Yang G, Yu L.
europepmc   +1 more source

Access improvement in healthcare: a 12-step framework for operational practice. [PDF]

Front Health Serv
Chen AM.
europepmc   +1 more source

An enhanced walrus optimization algorithm for flexible job shop scheduling with parallel batch processing operation. [PDF]

Sci Rep
Lv S, Zhuang J, Li Z, Zhang H, Jin H, Lü S.   +5 more
europepmc   +1 more source

A systematic review of simulation methods applied to cancer care services. [PDF]

Health Syst (Basingstoke)
Gjerloev A, Crowe S, Pagel C, Jani Y, Grieco L.   +4 more
europepmc   +1 more source

GAILS: an effective multi-object job shop scheduler based on genetic algorithm and iterative local search. [PDF]

Sci Rep
Shao X, Kshitij FS, Kim CS.
europepmc   +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

A Population-Based Iterated Greedy Algorithm for Distributed Assembly No-Wait Flow-Shop Scheduling Problem

IEEE Transactions on Industrial Informatics, 2023
This article investigates a distributed assembly no-wait flow-shop scheduling problem (DANWFSP), which has important applications in manufacturing systems. The objective is to minimize the total flowtime.
Fuqing Zhao, Zesong Xu, Ling Wang, N. Zhu, Tianpeng Xu, J. Jonrinaldi   +5 more
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