Titlebook: Brain Storm Optimization Algorithms; Concepts, Principles Shi Cheng,Yuhui Shi Book 2019 Springer Nature Switzerland AG 2019 Computational I

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書目名稱Brain Storm Optimization Algorithms影響因子(影響力)




書目名稱Brain Storm Optimization Algorithms影響因子(影響力)學(xué)科排名




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書目名稱Brain Storm Optimization Algorithms網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Brain Storm Optimization Algorithms被引頻次




書目名稱Brain Storm Optimization Algorithms被引頻次學(xué)科排名




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書目名稱Brain Storm Optimization Algorithms讀者反饋




書目名稱Brain Storm Optimization Algorithms讀者反饋學(xué)科排名

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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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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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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.

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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.

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