Results 261 to 270 of about 140,688 (313)

Approximation and Heuristic Algorithms for the Priority Facility Location Problem with Outliers

Hang Luo, Lu Han, Tianping Shuai, Fengmin Wang   +3 more
openalex   +1 more source

A Hierarchical Framework and Marginal Return Optimization for Dynamic Task Allocation in Heterogeneous UAV Networks. [PDF]

Sensors (Basel)
Guo A, Zhang Z, Wu A, Li Q, Li L, Yang R.   +5 more
europepmc   +1 more source

Using reinforcement algorithms to improve the collaboration efficiency of entrepreneurial teams. [PDF]

PLoS One
Wang J, Jiang L.
europepmc   +1 more source

Dynamic multi objective task scheduling in cloud computing using reinforcement learning for energy and cost optimization. [PDF]

Sci Rep
Yu X, Mi J, Tang L, Long L, Qin X.
europepmc   +1 more source

When Droplets Can "Think": Intelligent Testing in Digital Microfluidic Chips. [PDF]

Biosensors (Basel)
Luo Z, Li S, Long W, Chen R, Zheng J.
europepmc   +1 more source

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Efficient Drilling Sequence Optimization Using Heuristic Priority Functions

SPE Journal, 2021
SummaryDrilling sequence optimization is a common challenge faced in the oil and gas industry, and yet it cannot be solved efficiently by existing optimization methods due to its unique features and constraints. For many fields, the drilling queue is currently designed manually based on engineering heuristics.
Z. Wang, J. He, S. Tanaka, X.-H. Wen
openaire   +2 more sources

Priority Heuristic in MDRTDBS

International Journal of Sensors, Wireless Communications and Control, 2020
Background: Mobile distributed real time database is an emerging field of research. Transaction execute in these system should commit before elapsing the deadline. Assigning priority to arrived and executing transaction is the main function of transaction scheduler.
Prakash Kumar Singh, Udai Shanker
openaire   +1 more source

Fuzzy priority heuristics for project scheduling

Fuzzy Sets and Systems, 1996
Abstract This paper presents a generalization of the known priority heuristic method for solving resource-constrained project scheduling problems (RCPS) with uncertain time parameters. The generalization consists of handling fuzzy time parameters instead of crisp ones.
Maciej Hapke, Roman Slowinski
openaire   +1 more source

Evolving priority scheduling heuristics with genetic programming

Applied Soft Computing, 2012
This paper investigates the use of genetic programming in automated synthesis of scheduling heuristics for an arbitrary performance measure. Genetic programming is used to evolve the priority function, which determines the priority values of certain system elements (jobs, machines). The priority function is used within an appropriate meta-algorithm for
Marasović, Kristina, Jakobović, Domagoj   +1 more
openaire   +3 more sources