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multiple objectives » multi objective (Expand Search)
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multiple objectives » multi objective (Expand Search)
optimize » optimized (Expand Search)
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Multiple objectives optimization of injection-moulding process for dashboard using soft computing and particle swarm optimization
Published 2024“…The best model estimates defects. Multiple objectives particle swarm optimisation extracts optimal process parameters. …”
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An optimal formulation for test scheduling network-on-chip using multiple clock rates
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Optimizing Truck Visits to Container Terminals with Consideration of Multiple Drays of Individual Drivers
Published 2018“…To be more precise, the focus is on exploiting the fact that individual truck drivers perform multiple visits to the container terminal in a day. …”
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Optimal airline overbooking policy for a single leg with multiple flights per day
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A Mobile Energy Storage Unit Serving Multiple EV Charging Stations
Published 2021Get full text
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Reinforcement Learning for Resilient Aerial-IRS Assisted Wireless Communications Networks in the Presence of Multiple Jammers
Published 2024“…Hence, we leverage the light-weight Deep Reinforcement Learning (DRL) technique called Deep Deterministic Policy Gradient (DDPG) to optimize trajectory and IRS phase shifts and achieve multiple objectives jointly. …”
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Evolutionary algorithms for VLSI multi-objective netlist partitioning
Published 2006“…With current trends, partitioning with multiple objectives which includes power, delay and area, in addition to minimum cut is in vogue. …”
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Task-Based Design Approach: Development of a Planar Cable-Driven Parallel Robot for Upper Limb Rehabilitation
Published 2021“…Since selecting a single solution among the multiple ones given by the Pareto front presents an issue, a mono-objective formulation was chosen, where the objective function was defined as a weighted sum of the chosen criteria. …”
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Practical Multiple Node Failure Recovery in Distributed Storage Systems
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A Model for the Automatic Mixing of Multiple Audio and Video Clips
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Dynamic Hybrid Cross-Docking Model with Multiple Truck Types
Published 2015Get full text
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Smart Synthesis of Trimethyl Ethoxysilane (TMS) Functionalized Core–Shell Magnetic Nanosorbents Fe<sub>3</sub>O<sub>4</sub>@SiO<sub>2</sub>: Process Optimization and Application fo...
Published 2020“…Composite desirability function (D) was used to consolidate the multiple responses into a single performance characteristic. …”
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Multiple Plants Capacitated Lot Sizing and Scheduling with Sequence-Dependent Setup Costs
Published 2016Get full text
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15
A new bi-objective model of the urban public transportation hub network design under uncertainty
Published 2019“…<p>This paper presents a new bi-objective multi-modal hub location problem with multiple assignment and capacity considerations for the design of an urban public transportation network under uncertainty. …”
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Strategic Management Approaches for Sustainable Handling of Construction and Demolition Wastes Through a Q-Rung Orthopair Probabilistic Hesitant Fuzzy Set Decision Model
Published 2024“…This study develops the fuzzy-weighted zero inconsistency (FWZIC) and fuzzy decision by opinion score method (FDOSM)-based multiplicative multiple objective optimizations by ratio analysis (MULTIMOORA) with the q-rung orthopair probabilistic hesitant fuzzy set (q-ROPHFS) to address this problem. …”
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Joint Transmitter / Receiver Optimization for Cognitive Radio Applications
Published 2012Get full text
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Establishment of a clinical pharmacist-led multiple myeloma clinic with collaborative prescribing model at the national center for cancer care and research in Qatar
Published 2024“…Interprofessional patient care showed superiority over physician-only care in multiple settings, including MM. </p><h3>Objective</h3><p dir="ltr">The primary objective of this study was to evaluate the impact of clinical pharmacist (CP)-led clinic and CPs interventions on MM patient care. …”
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CFD Based Airfoil Shape Optimization for Aerodynamic Drag Reduction
Published 2012Get full text
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Tensile Test Optimization Using the Design of Experiment and Soft Computing
Published 2023“…The marginal error of only 0.72% in the hybrid approach showcases its high precision and reliability in determining the optimal levels of machining parameters. These findings underscore the potential of the Taguchi optimization method, ANFIS, and GA in achieving superior results in the tensile testing of materials, particularly in cases where multiple parameters are involved. …”