Results 11 to 20 of about 53,943 (265)

Cost-Aware and Energy-Efficient Task Scheduling Based on Grey Wolf Optimizer [PDF]

open access: yesJournal of Mahani Mathematical Research, 2023
One of the principal challenges in the cloud is the task scheduling problem. Appropriate task scheduling algorithms are needed to achieve goals such as load balancing, minimum cost, minimum energy consumption, etc.
Reyhane Ghafari, Najme Mansouri
doaj   +1 more source

Application of Artificial Intelligence Computer Intelligent Heuristic Search Algorithm

open access: yesAdvances in Multimedia, 2022
In order to transform three-dimensional space path planning into two-dimensional plane path planning problem and greatly reduce the search time, an intelligent heuristic search algorithm based on artificial intelligence is proposed.
Fanghai Gong
doaj   +1 more source

Optimal Task Allocation Algorithm Based on Queueing Theory for Future Internet Application in Mobile Edge Computing Platform

open access: yesSensors, 2022
For 5G and future Internet, in this paper, we propose a task allocation method for future Internet application to reduce the total latency in a mobile edge computing (MEC) platform with three types of servers: a dedicated MEC server, a shared MEC server,
Yukiko Katayama, Takuji Tachibana
doaj   +1 more source

On the Improvement of the Heuristic Algorithm for Packing Circles into a Circle of Minimum Radius

open access: yesКібернетика та комп'ютерні технології, 2023
The article is devoted to investigation of a heuristic algorithm for solving the competitive problem "Circles Dense packing into a circle of minimum radius" and development of its improved version using Shor's r-algorithm with step dichotomy.
Bohdan Zadorozhnyi   +2 more
doaj   +1 more source

A Quick Algorithm to Determine 2-Optimality Consensus for Collectives

open access: yesIEEE Access, 2020
Nowadays, to solve a problem, people/systems typically use knowledge from different sources. A binary vector is a useful structure to represent knowledge states, and determining the consensus for a binary vector collective is helpful in many areas ...
Dai Tho Dang   +2 more
doaj   +1 more source

A Heuristic Construction Neural Network Method for the Time-Dependent Agile Earth Observation Satellite Scheduling Problem

open access: yesMathematics, 2022
The agile earth observation satellite scheduling problem (AEOSSP), as a time-dependent and arduous combinatorial optimization problem, has been intensively studied in the past decades.
Jiawei Chen   +4 more
doaj   +1 more source

Examining Rebalancing Considers of the Mixed-Model Assembly Line Type-II for the Straight and U-shaped Layout Using the Taguchi Method [PDF]

open access: yesEngineering and Technology Journal, 2021
Facing the increasingly competitive market environment, assembly lines are gained attention because of the assembly process expenditure consumes more than 20 % of the manufacturing cost, and also improve its products to meet demand.
Samah. A. Aufy   +2 more
doaj   +1 more source

A Multi-Heuristic A* Algorithm Based on Stagnation Detection for Path Planning of Manipulators in Cluttered Environments

open access: yesIEEE Access, 2019
We consider the problem of planning an obstacle avoidance path for manipulators in cluttered environments especially with narrow passages. Compared to sampling-based planners, heuristic search-based planners are more suitable for such environments due to
Kai Mi   +3 more
doaj   +1 more source

Analisis Perbandingan Pada Penjadwalan Job Untuk Ketepatan Waktu Proses

open access: yesJurnal Teknik Industri, 2008
Almost most of company operates based on request (order). The aim of company in industry world is get to complete the customer needs that are the high quality of goods, cheap goods price or finish and delivery product on time.
Pipit Sari Puspita
doaj   +1 more source

Portfolio optimization with mean-variance approach using hunting search meta-heuristic algorithm [PDF]

open access: yesتحقیقات مالی, 2014
This paper presents a new meta-heuristic solution to find the efficient frontier using the mean-variance approach. Portfolio optimization problem is a quadratic programming model and, changes to NP-hard if the number of assets and constraints has ...
Morteza Elahi   +2 more
doaj   +1 more source

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