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1101
Propeller Design Optimization and an Evaluation of Variable Rotational Speed Flight Operation Under Structural Vibration Constraints
Published 2025-06-01“…Three different evolutionary algorithms generated a Pareto front, from which the optimal propeller design is selected. …”
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1102
Hybrid Metaheuristic Optimization of HVAC Energy Consumption and Thermal Comfort in an Office Building Using EnergyPlus
Published 2025-07-01“…This paper introduces a hybrid crow search optimization (CSA) and penguin search optimization algorithm (PeSOA), termed (HCRPN), designed to simultaneously optimize building energy consumption and achieve MRT levels conducive to thermal comfort by adjusting HVAC system parameters. …”
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1103
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1104
Comparison of Markowitz Model and DCC-tCopula-LVaR for Portfolio Optimization in the Tehran Stock Exchange
Published 2023-03-01Get full text
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1105
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1106
Advancing Optimization Strategies in the Food Industry: From Traditional Approaches to Multi-Objective and Technology-Integrated Solutions
Published 2025-04-01“…Advanced methods, including evolutionary algorithms and comprehensive modeling frameworks, enable the simultaneous optimization of multiple variables, offering robust solutions to complex challenges. …”
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1107
A Virtual Power Plant-Integrated Proactive Voltage Regulation Framework for Urban Distribution Networks: Enhanced Termite Life Cycle Optimization Algorithm and Dynamic Coordination
Published 2025-04-01“…., 5G base stations and data centers). While virtual power plants (VPPs) and network reconfiguration mitigate operational risks, extant methods inadequately model load flexibility and suffer from algorithmic stagnation in non-convex optimization. …”
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1108
A Hybrid Optimization Approach for Improving Sensor Configuration to Enhance Nasogastric Tube (NGT) Localization During Insertion and Withdrawal
Published 2025-01-01“…To overcome this issue, we propose a novel approach that reduces the number of sensors needed while retaining accurate localization. By incorporating mathematical models of magnetic dipoles into a Genetic Algorithm (GA), our technology dynamically optimizes the sensor setup, lowering the system’s processing demands while maintaining accuracy. …”
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1109
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1110
Optimal Placement of Photovoltaic Distributed Generation Units in Radial Unbalanced Distribution Systems Using MATLAB and OpenDSS-Based Cosimulation and a Proposed Metaheuristic Al...
Published 2022-01-01“…In this paper, an improved slime mould algorithm (ISMA) is proposed for finding the optimal location and sizing of photovoltaic distributed generation units (PVDGUs) in unbalanced distribution systems (UDSs). …”
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1111
Robust Path Tracking Control with Lateral Dynamics Optimization: A Focus on Sideslip Reduction and Yaw Rate Stability Using Linear Quadratic Regulator and Genetic Algorithms
Published 2025-05-01“…Currently, one of the most important challenges facing autonomous vehicles’ development due to varying driving conditions is effective path tracking while considering lateral stability. To address this issue, this study proposes the optimization of the linear quadratic regulator (LQR) control system by using the genetic algorithm (GA) to support the vehicle in following the predefined path accurately, minimizing the sideslip, and stabilizing the vehicle’s yaw rate. …”
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1112
Long short‐term memory‐based forecasting of uncertain parameters in an islanded hybrid microgrid and its energy management using improved grey wolf optimization algorithm
Published 2024-12-01“…Its reliability depends on variable renewable output and load demand, while an energy management system optimizes power scheduling and reduces costs. …”
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1113
The human-on-the-loop evaluation of multiobjective optimization algorithms for solving a real-world problem that integrates the food-energy-water nexus security and climate change...
Published 2025-09-01“…Additionally, the lack of qualitative insights and decision-maker preferences in performance evaluation compromises the effectiveness of identifying the appropriate algorithm to solve a specific real-world multiobjective optimization problem (MOP). …”
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1114
Enhancing sustainable urban design using machine learning: comparative analysis of seven metaheuristic algorithms in energy-efficient digital architecture
Published 2025-06-01“…Metaheuristics optimization algorithms used in this research include PSO, ACO, GA, and SA and represent effective approaches toward reaching an optimal or near-optimal solution for decision variables with an intention to improve energy efficiency, increasing indoor comfort whilst reducing the carbon footprint of building operations. …”
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1115
Configuration optimization for offset strip plate-fin heat exchanger using a method of PID-based search algorithm driving design indicators mathematical model
Published 2025-04-01“…A strategy of PID-based search algorithm (PSA) driving design indicators mathematical model was proposed for OSPFHX configuration optimization. …”
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1118
Evolutionary Synthesis of High-Capacity Reconfigurable Multilayer Road Networks Using a Multiagent Hybrid Clustering-Assisted Genetic Algorithm
Published 2025-01-01“…Therefore, it is essential to find a balance when choosing the optimal topological solution for an RMRN. These solutions need to maximize traffic flow while minimizing the complexity of the RMRN. …”
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1119
Ship path planning based on improved multi-scale A* algorithm of collision risk function
Published 2024-12-01“…Abstract To improve the safety of ship navigation in complex sea areas and reduce planning time while achieving optimal path planning. The paper proposes an improved A* algorithm that incorporates ship collision risk assessment. …”
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1120
Thermodynamic optimization of a multi-generation system integrating gas turbine-helium reactor cycle with hydrogen production and desalination
Published 2025-07-01“…Compared to the baseline configuration, energy efficiency improves by approximately 1.72 %, while the hydrogen output increases by 6.1 %. The Red Kite Optimization Algorithm (ROA), a novel metaheuristic inspired by the social behavior of red kites, is employed for both single- and multi-objective optimization. …”
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