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Showing 1 to 5 of 5 for “"multi-objective particle swarm optimization"”.
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Optimization-based mechanism synthesis using multi-objective parallel asynchronous particle swarm optimization
A distributed variant of multi-objective particle swarm optimization (MOPSO) called multi-objective parallel asynchronous particle swarm optimization (MOPAPSO) is presented, and the effects of distribution of objective function calculations to slave processors on the results and performance are …
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Optimal Volt/VAR Control and Power Dispatch in Active Distribution Systems
… problem statements include economic dispatch, multi-objective economic-emission dispatch, economic-reliability security-constrained optimal dispatch, and multi-objective Volt/VAR control in modern distribution systems. In addition, we propose various methods of solving the aforementioned …
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Computer-based decision-support methods for hydrological ecosystem services management
… later uses the sensitive model parameters in a multi-objective automatic calibration scheme using multi-objective particle swarm optimization (MOPSO). Multiple alternative watershed-scale BMP designs (parallel terraces, detention/infiltration ponds, field borders, and grade stabilization …
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Movement Optimization of Robotic Arms for Energy and Time Reduction using Evolutionary Algorithms
… explores energy consumption and cycle time optimization, using a robot inverse kinematic model for simulation. This research offers insights into the influential factors, including robot type, task performance, and operating conditions, contributing to a more efficient and environmentally …
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Development and assessment of integrated powering systems with alternative fuel choices for clean transportation
… and exergoeconomic analyses. Besides, the multi-objective particle swarm optimization (MOPSO) is applied for different operating conditions to choose the optimal design characteristic of the transportation systems. For aviation transportation, the base turbofan produces a power of 9144 kW …