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201
Optimization of Battery Electric Bus Charging under Varying Operating Conditions
منشور في 2020"…This paper proposes an optimization algorithm based on Dynamic Programming that minimizes the total BEB energy costs and battery replacement costs by optimally controlling the BEB daily charging power throughout the year, considering the varying operating conditions. …"
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conferenceObject -
202
A new minimum curvator multi-step method for unconstrained optimization
منشور في 1998"…Multistep quasi-Newton methods for optimization were derived by J. A. Ford and I. A. Moghrabi [J. …"
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conferenceObject -
203
A hybrid Harris Hawks optimizer for economic load dispatch problems
منشور في 2022"…This paper proposes a hybridized version of the Harris Hawks Optimizer (HHO) with adaptive-hill-climbing optimizer to tackle economic load dispatch (ELD) problems. …"
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204
Optimal Routing and Scheduling in E-commerce Logistics using Crowdsourcing Strategies
منشور في 2017احصل على النص الكامل
doctoralThesis -
205
Energy removal in dynamical systems through an optimal sequence of constraint application
منشور في 2017"…The optimization process is illustrated by means of simple mass-spring and membrane systems and the corresponding problems are solved using a genetic algorithm.…"
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conferenceObject -
206
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207
Methods for system-on-chip test design, scheduling and optimization. (c2006)
منشور في 2006احصل على النص الكامل
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masterThesis -
208
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209
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210
Parameter Identification of Flexible Drive Systems using Particle Swarm Optimization
منشور في 2023احصل على النص الكامل
doctoralThesis -
211
Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling
منشور في 2022"…A Stochastic Discrete Simulation-Based Multi-Objective Optimization (SDSMO) model is developed and linked to clustering algorithms using an iterative sequential approach. …"
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212
A hybrid model for the optimum integration of renewable technologies in power generation systems
منشور في 2011"…The main purpose of this work is to assess the unavoidable increase in the cost of electricity of a generation system by the integration of the necessary renewable energy sources for power generation (RES-E) technologies in order for the European Union Member States to achieve their national RES energy target. The optimization model developed uses a genetic algorithm (GA) technique for the calculation of both the additional cost of electricity due to the penetration of RES-E technologies as well as the required RES-E levy in the electricity bills in order to fund this RES-E penetration. …"
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article -
213
Framework for rapid design and optimisation of immersive battery cooling system
منشور في 2025"…The CFD model of a battery module is developed to train an ultra-fast metamodel for battery geometry optimisation. Two key parameters are optimised, namely: battery gap spacing (3–10 mm) and inlet/outlet width (5–15 mm), via Optimal Latin Hypercube Sampling, Support Vector Regression, and GDE3 algorithm. …"
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214
Machine Learning Model for a Sustainable Drilling Process
منشور في 2023احصل على النص الكامل
doctoralThesis -
215
Multi-Agent Variational Approach for Robotics: A Bio-Inspired Perspective
منشور في 2023"…This study proposes an adaptable, bio-inspired optimization algorithm for Multi-Agent Space Exploration. …"
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216
ENUMERATIVE TECHNIQUES IN TOPOLOGICAL OPTIMIZATION OF COMPUTER NETWORKS SUBJECT TO FAULT TOLERANCE AND RELIABILITY
منشور في 2002"…In this paper, we propose one algorithm for optimizing the terminal reliability and another for optimizing the network reliability while improving the fault tolerance aspects of the designed networks. …"
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article -
217
An Incentivized and Optimized Dynamic Mechanism for Demand Response for Managing Voltage in Distribution Networks
منشور في 2022"…An improved hybrid particle swarm optimization algorithm (IHPSO) is proposed for the load controller to provide fast convergence and robust optimization results. …"
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218
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219
Resources Allocation for Drones Tracking Utilizing Agent-Based Proximity Policy Optimization
منشور في 2023"…In particular, the Proximity Policy Optimization (PPO) reinforcement algorithm is used to discover a policy for sensor selection that results in optimum sensor resource allocation. …"
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220