about
PSO-Based Smart Grid Application for Sizing and Optimization of Hybrid Renewable Energy SystemsA Noise-Filtering Method for Link Prediction in Complex NetworksA Robust Method for Inferring Network StructuresParameter identification of robot manipulators: a heuristic particle swarm search approach.Optimal Allocation of Node Capacity in Cascade-Robustness Networks.Trust-Enhanced Cloud Service Selection Model Based on QoS AnalysisTopological Vulnerability Evaluation Model Based on Fractal Dimension of Complex NetworksApplication of the Elitist-Mutated PSO and an Improved GSA to Estimate Parameters of Linear and Nonlinear Muskingum Flood Routing Models.Lagrange Interpolation Learning Particle Swarm OptimizationA Triangle Mesh Standardization Method Based on Particle Swarm OptimizationA Novel Hybrid Firefly Algorithm for Global Optimization.Multiswarm comprehensive learning particle swarm optimization for solving multiobjective optimization problems.The Emergence of Relationship-based Cooperation.Multi-objective AGV scheduling in an FMS using a hybrid of genetic algorithm and particle swarm optimization.Physics of transportation: Towards optimal capacity using the multilayer network framework.Evaluating the Influence of the Client Behavior in Cloud Computing.On the efficiency of nature-inspired metaheuristics in expensive global optimization with limited budget.Prediction of pKa Values for Neutral and Basic Drugs based on Hybrid Artificial Intelligence Methods.Evaluating the Effects of Low Impact Development Practices on Urban Flooding under Different Rainfall Intensities
P2860
Q28597969-CB60ED00-7446-4172-8BD9-B72D0E0C4757Q28602287-84E06705-5538-4313-A9E0-AB89CC6AF4AAQ33899378-039FE8D4-1ECD-46F9-A728-000B9856D09AQ35651089-A6F99498-ADF3-41FD-9702-E30415136A82Q35819289-265461C9-E8B8-4B97-84F1-1A694B0B0EC9Q35852502-EDEC2A07-6EF6-4501-9874-F08EE9DB19B3Q35889937-CA2CE331-861F-4EAD-8B2A-3FE2715CF2CBQ35897739-820DF8A7-637A-4BA7-A722-7E8314EC4E9BQ36001794-D7923AE4-D6F3-4965-91DD-AF86DB0570E6Q36100387-1865294E-7539-4BF2-BC11-781601148757Q36148639-E8EF39A8-2E3D-4415-99AA-ABD14BE6AE9DQ36278704-7D72E56F-FBAB-4F42-BAD5-3633E6647865Q36280387-08F79C65-B69B-4F53-943D-37E83872336FQ36298261-A46F492D-EABD-4498-892E-E2F1217BBD58Q36500407-AAFC1971-3CB2-4152-9409-F64210626B0CQ37115240-E5824939-D9BE-4AA0-969E-F412ECF5A754Q47565380-A21A9DF8-4F96-4442-BFF0-4A387EF855CCQ55288621-D8AB7333-0FCD-484D-A14A-6232FCFF6EE8Q57527745-CF9ED431-900A-4878-944E-57311B951713
P2860
description
2015 nî lūn-bûn
@nan
2015 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի մարտին հրատարակված գիտական հոդված
@hy
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
name
Selectively-informed particle swarm optimization.
@ast
Selectively-informed particle swarm optimization.
@en
type
label
Selectively-informed particle swarm optimization.
@ast
Selectively-informed particle swarm optimization.
@en
prefLabel
Selectively-informed particle swarm optimization.
@ast
Selectively-informed particle swarm optimization.
@en
P2860
P356
P1433
P1476
Selectively-informed particle swarm optimization
@en
P2093
P2860
P2888
P356
10.1038/SREP09295
P407
P50
P577
2015-03-19T00:00:00Z