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Using Human-Centered Design and Development to Create a Digital Sick Day Medication Guidance Application for People With Diabetes, Cardiovascular Disease, or Chronic Kidney Disease: Mixed Methods Study. [PDF]
JMIR Form ResBabione J +12 more
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A New Ant Colony Optimization-Based Dynamic Path Planning and Energy Optimization Model in Wireless Sensor Networks for Mobile Sink by Using Mixed-Integer Linear Programming. [PDF]
Biomimetics (Basel)Chen F, Wu X, Wang Z, Qi W, Li P.
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Efficient Drilling Sequence Optimization Using Heuristic Priority Functions
SPE Journal, 2021SummaryDrilling 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
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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
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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
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Fuzzy priority heuristics for project scheduling
Fuzzy Sets and Systems, 1996Abstract 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
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Evolving priority scheduling heuristics with genetic programming
Applied Soft Computing, 2012This 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 +1 more
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Heuristic Algorithm for Priority Traffic Signal Control
Transportation Research Record: Journal of the Transportation Research Board, 2011A heuristic algorithm is presented for traffic signal control with simultaneous multiple priority requests at isolated intersections in the context of vehicle-to-infrastructure communications being available on priority vehicles, such as emergency vehicles and transit buses.
Qing He, K. Larry Head, Jun Ding
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Priority-Index Based Multi-Priority Relief Logistics Scheduling with Greedy Heuristic Search
2018 5th International Conference on Information and Communication Technologies for Disaster Management (ICT-DM), 2018Spontaneous response after any kind of disaster is essential to rescue victims at the disaster-affected regions. Efficient and effective relief logistics scheduling is crucial to reduce the disaster impact on the people in the affected areas. Such scheduling plan remains challenging in the field of relief logistics and related study areas because of ...
Bhupesh Kumar Mishra +3 more
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Heuristic algorithms for priority assignment in flow shops
1998 IEEE International Performance, Computing and Communications Conference. Proceedings (Cat. No.98CH36191), 2002An end to end approach for scheduling hard real time periodic transactions in a multiprocessor or distributed system is considered. Each transaction consists of a chain of tasks, where each task is allocated to a processor based on its resource requirements.
R. Etemadi, G. Karam, S. Majumdar
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Extended Abstract: An Improved Priority Function for Bidirectional Heuristic Search
Proceedings of the International Symposium on Combinatorial Search, 2021Bidirectional search algorithms interleave a search forward from the start state (start ) and a search backward (i.e. using reverse operators) from the goal state (goal). We say that the two searches “meet in the middle” if neither search expands a node whose g-value (in the given direction) exceeds C*/2 , where C* is the cost of an ...
Guni Sharon +3 more
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