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发表于 2025-3-21 20:01:53
书目名称Brain Storm Optimization Algorithms影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0190235<br><br> <br><br>书目名称Brain Storm Optimization Algorithms影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0190235<br><br> <br><br>书目名称Brain Storm Optimization Algorithms网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0190235<br><br> <br><br>书目名称Brain Storm Optimization Algorithms网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0190235<br><br> <br><br>书目名称Brain Storm Optimization Algorithms被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0190235<br><br> <br><br>书目名称Brain Storm Optimization Algorithms被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0190235<br><br> <br><br>书目名称Brain Storm Optimization Algorithms年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0190235<br><br> <br><br>书目名称Brain Storm Optimization Algorithms年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0190235<br><br> <br><br>书目名称Brain Storm Optimization Algorithms读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0190235<br><br> <br><br>书目名称Brain Storm Optimization Algorithms读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0190235<br><br> <br><br>
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发表于 2025-3-21 21:57:47
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adulterant
发表于 2025-3-22 03:44:57
1867-4534 sents various concepts, principles and applications of BrainBrain Storm Optimization (BSO) algorithms are a new kind of swarm intelligence method, which is based on the collective behavior of human beings, i.e., on the brainstorming process. Since the introduction of BSO algorithms in 2011, many stu
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发表于 2025-3-22 05:52:00
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Enervate
发表于 2025-3-22 08:55:32
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神圣将军
发表于 2025-3-22 15:50:11
Permutation Structure in 0-1 Datat and with FACTS conditions. These results show that BSO produce better results compared to GA for solving optimal rescheduling of generators. The BSO algorithm based generation reallocation has been examined and tested on IEEE 30 bus system without and with FACTS devices.
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发表于 2025-3-22 21:06:54
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insipid
发表于 2025-3-23 00:41:12
Multi-objective Differential-Based Brain Storm Optimization for Environmental Economic Dispatch Probsystems with 6 units and 40 units in the literature. The simulation results show that comparing with other intelligent optimization method, MDBSO can maintain the diversity of Pareto optimal solutions and show better convergence at the same time.
Constitution
发表于 2025-3-23 03:11:00
Enhancement of Voltage Stability Using FACTS Devices in Electrical Transmission System with Optimal t and with FACTS conditions. These results show that BSO produce better results compared to GA for solving optimal rescheduling of generators. The BSO algorithm based generation reallocation has been examined and tested on IEEE 30 bus system without and with FACTS devices.
crutch
发表于 2025-3-23 06:58:45
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