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Improved Dwarf Mongoose Optimization for Constrained Engineering Design Problems
منشور في 2022"…This paper proposes a modified version of the Dwarf Mongoose Optimization Algorithm (IDMO) for constrained engineering design problems. …"
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A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems
منشور في 2021"…<p>Constrained optimization plays an important role in many decision-making problems and various real-world applications. …"
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LightEnsemble-Guard: An Optimized Ensemble Learning Framework for Securing Resource-Constrained IoT Systems
منشور في 2025"…In this work, we propose LightEnsemble-Guard, an ensemble learning-based approach specifically designed for resource-constrained IoT environments. …"
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Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms
منشور في 2025"…Due to resource limitations, UAVs often rely on online task offloading to remote machines, but this can be inefficient due to unstable connections, constrained resources, and high latency. Distributed inference enabled via swarms of collaborative UAVs presents a promising solution by partitioning tasks among UAVs based on their available resources, allowing for more efficient, collaborative processing. …"
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Tabu search based circuit optimization
منشور في 1998احصل على النص الكامل
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CFD Based Airfoil Shape Optimization for Aerodynamic Drag Reduction
منشور في 2012احصل على النص الكامل
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UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices
منشور في 2019"…Then, we develop an effective sub-optimal algorithm based on successive convex approximation in order to obtain results for larger network scenarios. …"
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A multi-objective planning approach for optimal DG allocation for droop based microgrids
منشور في 2021"…This paper proposes a multi-objective planning approach to determine the optimal DG locations for droop-based microgrids. A secondary control operating region is mathematically formulated and incor-porated in the multi-objective optimization problem to constrain the optimal droop characteristic within the acceptable frequency and voltage thresholds. …"
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Trial-based dominance for comparing both the speed and accuracy of stochastic optimizers with standard non-parametric tests
منشور في 2023"…After describing trial-based dominance, we outline its benefits. We subsequently review other attempts to compare stochastic optimizers, before illustrating our method with the Mann-Whitney U test. …"
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Decision Support Model for Optimal Design of Wind Technologies Based Techno–Economic Approach
منشور في 2021"…A developed decision support model based a comprehensive wind turbine modeling and a constrained techno-economic optimization framework is presented. …"
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The survey of cluster based data collection process for iot enabled wireless sensor network using several optimization technique
منشور في 2025"…The study analyses nature-based metaheuristic methods such as the Genetic Algorithms, Particle Swarm Optimization, Firefly Optimization, Gray Wolf Optimization and Water-Cycle Algorithms, and specialised protocols of clustering, routing and data aggregation. …"
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Optimal VAR Dispatch Using a Multiobjective Evolutionary Algorithm
منشور في 2005"…The optimal VAR dispatch problem is formulated as a nonlinear constrained multiobjective optimization problem where the real power loss and the bus voltage deviations are to be minimized simultaneously. …"
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A Parallel Tabu Search Algorithm for Optimizing Multiobjective VLSI Placement
منشور في 2005"…In this paper, we present a parallel tabu search (TS) algorithm for efficient optimization of a constrained multiobjective VLSI standard cell placement problem. …"
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Multiobjective optimal power flow using strength Pareto evolutionary algorithm
منشور في 2004"…In this paper, a novel multiobjective evolutionary algorithm for optimal power flow (OPF) problem is presented. The OPF problem is formulated as a nonlinear constrained multiobjective optimization problem where the fuel cost and the voltage stability index are to be minimized simultaneously. …"
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A novel multiobjective evolutionary algorithm for optimal reactive power dispatch problem
منشور في 2003"…The optimal VAR dispatch problem is formulated as a nonlinear constrained multiobjective optimization problem where the real power loss and the bus voltage deviations are to be minimized simultaneously. …"
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Edge-Optimized Deep Learning Architectures for Classification of Agricultural Insects with Mobile Deployment
منشور في 2025"…We provide a detailed analysis of the trade-offs between model size, inference speed, and accuracy across different optimization approaches, ensuring practical applicability in resource-constrained farming environments. …"
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article