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1
Predict+Optimize Problem in Renewable Energy Scheduling
Published 2025-01-01Subjects: Get full text
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2
Simulation Model to Optimize Turnover Schedule for Train Locomotives
Published 2015-04-01“…This work relates to a suggested simulation model to optimize turnover schedule for train locomotives operating in train flow service. …”
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3
An innovative genetic algorithm-based master schedule to optimize job shop scheduling problem
Published 2024-12-01“…Consequently, the objective of this study is to develop an advanced method to optimize the production scheduling problem. Accordingly, this study proposes an innovative genetic algorithm-based master schedule (GA-MS) focused on minimizing makespan. …”
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4
Optimization of multi-user scheduling in WPCNs
Published 2025-04-01“…However, WPCNs face new challenges in multi-user scheduling due to factors like energy collection efficiency and resource allocation, which are crucial for optimizing network performance. …”
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5
Comparison Performance of Genetic Algorithm and Ant Colony Optimization in Course Scheduling Optimizing
Published 2016-11-01Subjects: “…Course scheduling, Genetic algorithm, Ant colony optimization algorithm, Metaheuristic algorithm, Performance.…”
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6
Optimal scheduling of distributed shared energy storage based on optimal SOC interval
Published 2025-02-01Subjects: Get full text
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7
End-to-End Collaborative Optimization Method for Microgrid Power Prediction and Optimal Scheduling
Published 2025-06-01Subjects: “…microgrid scheduling…”
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8
Optimal Scheduling of a Microgrid Including Pump Scheduling and Network Constraints
Published 2018-01-01“…The proposed EMS has a two-stage architecture. An optimal MG scheduling problem including pump scheduling and curtailment of interruptible loads (ILs) is formulated and solved in the first stage. …”
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Optimal scheduling of integrated energy system for hydrogen production with electricity
Published 2024-12-01Subjects: Get full text
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10
Optimizing the Scheduling of Teaching Activities in a Faculty
Published 2024-10-01“…To maximize resource usage, minimize disputes, and improve academic experience, professors must schedule teaching activities efficiently. This study provides an optimized automated schedule creation technique. …”
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11
Optimization Scheduling of Multiple Heterogeneous Energy Sources
Published 2025-05-01Subjects: Get full text
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12
Forgetful Swarm Optimization for Astronomical Observation Scheduling
Published 2024-01-01Subjects: Get full text
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13
Resource scheduling optimization in cloud-edge collaboration
Published 2023-02-01Subjects: Get full text
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14
Dynamic multicriteria optimization for the nurse scheduling problem
Published 2025-01-01“… This document addresses the Nurse Scheduling Problem (NSP) and presents a dynamic multi-criteria optimization model for its solution considering a predefined time horizon. …”
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15
Resource scheduling optimization in cloud-edge collaboration
Published 2023-02-01Subjects: “…cloud-edge collaboration;edge computing;computer and network convergence;resource scheduling optimization;computing and networking joint optimization…”
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16
Bidirectional Collaborative Optimization Scheduling of Adjustable Resources in Computing Node and Power Node
Published 2025-02-01Subjects: “…computing and power collaboration|adjustable resources|double-layer optimization|optimize scheduling…”
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17
Based on improved crayfish optimization algorithm cooperative optimal scheduling of multi-microgrid system
Published 2024-10-01Subjects: Get full text
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18
Adaptive crayfish optimization algorithm for multi-objective scheduling optimization in distributed production workshops
Published 2025-06-01Subjects: “…Multi-objective optimization…”
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19
Data Aggregation and Scheduling to Optimize Information Freshness In Multi-Hop IoT Networks
Published 2025-01-01“…The RMP models data aggregation at Base Station (BS), while the PP incorporates an Energy-Aware Scheduling Algorithm (EASA) to generate feasible scheduling solutions. …”
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20
Use Linear Weighted Genetic Algorithm to Optimize the Scheduling of Fog Computing Resources
Published 2021-01-01“…This paper establishes a mathematical model for the resource management and scheduling of the fog node cluster and establishes the optimization goals of delay, communication load, and service cost. …”
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