Results 51 to 60 of about 14,917 (205)
Study on AGV path planning for Green Remanufacturing System
四川大学学报. 自然科学版, 2019 In order to solve the problem of automatic guided vehicle (AGV) path planning in green remanufacturing system, an adaptive algorithm for global path optimization of AGV based on particle swarm optimization (PSO) is proposed.
ZHOU Run +4 more
doaj
Reducing Building Conflicts in Map Generalization with an Improved PSO Algorithm
ISPRS International Journal of Geo-Information, 2017 In map generalization, road symbolization and map scale reduction may create spatial conflicts between roads and neighboring buildings. To resolve these conflicts, cartographers often displace the buildings.
Hesheng Huang +3 more
doaj +1 more source
Carbon Energy, EarlyView.ABSTRACT Biochar has emerged as a useful and adaptable source of carbon for supercapacitor electrodes. Its value comes from the way biomass chemistry, thermal conversion, and activation conditions shape the resulting pore network, surface groups, and degree of carbon ordering.
Soumen Mandal +6 more
wiley +1 more source
Using Particle Swarm Optimization to Solving Multi-Objective Master Production Schedule with Application [PDF]
المجلة العراقية للعلوم الاحصائية, 2013 This paper aims to use Particle Swarm Optimization (PSO) to solve multi-objective master production schedule problems, which is one of the NP-Hard problems, in addition to apply the MPS in the Northern General Company for Cement with his five plants. The
doaj +1 more source
Task Assignment of UAV Swarm Based on Wolf Pack Algorithm
Applied Sciences, 2020 To perform air missions with an unmanned aerial vehicle (UAV) swarm is a significant trend in warfare. The task assignment among the UAV swarm is one of the key issues in such missions.
Yingtong Lu +3 more
doaj +1 more source
Porous Carbon Materials for Carbon Dioxide Capture
Carbon Energy, EarlyView.This work aims to address the current status and challenges associated with the regulation of pore structures, as well as the influence of pore structures on CO2 capture. Systematic quantitative analysis of structure–property relationships, combined with machine learning approaches, can effectively evaluate the contributions of structural ...
Zhifu Liu +6 more
wiley +1 more source
A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control
The Canadian Journal of Chemical Engineering, EarlyView.Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao +2 more
wiley +1 more source
Deep Underground Science and Engineering, EarlyView.Inspired by spiders, the multilegged walk‐through assembling robot for arc parts achieves high‐precision synchronous control under heavy loads through dual‐layer hydraulic pose dynamics modeling and hierarchical pressure optimization, significantly enhancing shield tunneling assembly efficiency and precision.
Quan Xiao +5 more
wiley +1 more source
Digital IIR filter design using particle swarm optimisation [PDF]
, 2010 Adaptive infinite-impulse-response (IIR) filtering provides a powerful approach for solving a variety of practical signal processing problems. Because the error surface of IIR filters is typically multimodal, global optimisation techniques are generally ...
Chen, Sheng, Luk, Bing L.
core
, 2014 Due to the PV module simulation requirements as well as recent applications of model-based controllers, the accurate photovoltaic (PV) model identification method is becoming essential to reduce the PV power losses effectively.
Alireza Maheri (16272944) +5 more
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