بدائل البحث:
method algorithm » mould algorithm (توسيع البحث)
data scheduling » task scheduling (توسيع البحث), ahead scheduling (توسيع البحث)
model algorithm » mould algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data scheduling » task scheduling (توسيع البحث), ahead scheduling (توسيع البحث)
model algorithm » mould algorithm (توسيع البحث)
-
21
-
22
-
23
Calibration of building model based on indoor temperature for overheating assessment using genetic algorithm: Methodology, evaluation criteria, and case study
منشور في 2022"…This methodology includes a variance-based sensitivity analysis to determine building parameters that significantly influence indoor air temperatures, the Multi-Objective Genetic Algorithm to calibrate different rooms simultaneously based on the significant param eters identified by the sensitivity analysis, and new evaluation criteria to achieve a high-accuracy calibrated model. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
-
24
Modeling and Control of a Robot Based Rehabilitation System for the Head-Neck Joint
منشور في 2024احصل على النص الكامل
doctoralThesis -
25
Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark
منشور في 2021"…The paper proposes a concurrent job scheduling algorithm in a multi-energy data source environment using Apache Spark. …"
-
26
Power System Transient Stability Assessment Based on Machine Learning Algorithms and Grid Topology
منشور في 2023"…In this study, the emergency control algorithms based on ensemble machine learning algorithms (XGBoost and Random Forest) were developed for a low-inertia power system. …"
احصل على النص الكامل
article -
27
Minimizing Deadline Misses of Mobile IoT Requests in a Hybrid Fog- Cloud Computing Environment
منشور في 2019احصل على النص الكامل
doctoralThesis -
28
-
29
-
30
-
31
-
32
Metaheuristic Algorithm for State-Based Software Testing
منشور في 2018"…This article presents a metaheuristic algorithm for testing software, especially web applications, which can be modeled as a state transition diagram. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
33
-
34
MoveSchedule
منشور في 1995"…MoveSchedule is validated using realistic project data and its solution is qualitatively assessed by an experienced engineer on that project.…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
35
Stochastic management of hybrid AC/DC microgrids considering electric vehicles charging demands
منشور في 2020"…In order to mitigate the charging effects of electric vehicles on the hybrid AC–DC microgrid operation, some remotely switches are considered in the system which make it possible for changing the topology and power flow way. In order to model the uncertainty effects, a data-driven framework based on point estimate method and support vector machine is developed. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
36
Sensitivity analysis and genetic algorithm-based shear capacity model for basalt FRC one-way slabs reinforced with BFRP bars
منشور في 2023"…Finally, a design equation that can predict the shear capacity of one-way BFRC-BFRP slabs was proposed based on genetic algorithm. The proposed model showed the best prediction accuracy compared to the available design codes and guidelines with a mean of predicted to experimental shear capacities (V<sub>pred</sub>/V<sub>exp</sub>) ratio of 0.97 and a coefficient of variation of 17.91%.…"
-
37
-
38
An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling
منشور في 2016"…Several nonlinear optimization models were developed for this purpose assuming uniform resource availability and sequence based project tasks. …"
احصل على النص الكامل
-
39
-
40
Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling
منشور في 2022"…Therefore, this paper proposes a clustering and stochastic optimization methodology to handle the various challenges of OCA planning and scheduling. A Stochastic Discrete Simulation-Based Multi-Objective Optimization (SDSMO) model is developed and linked to clustering algorithms using an iterative sequential approach. …"