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

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Brain Storm Optimization Algorithms for Flexible Job Shop Scheduling Problemlutionary algorithms (EAs) are very promising approaches for the scheduling problems due to its dynamic characteristics, multiple contradicting objectives and highly nonlinear constraints. Brain storm optimization (BSO) algorithm and its variations are new emerging evolutionary algorithms. In this c

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Enhancement of Voltage Stability Using FACTS Devices in Electrical Transmission System with Optimal or slightly over loaded conditions. Maintaining voltage stability is the one of the major factor for power system networks. In this chapter voltage stability has been examined by using Flexible Alternating Current Transmission System (FACTS) devices. These devices enhance the stability of the system

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Brain Storm Optimization for Test Task Scheduling ProblemTSP, BSO is more suitable for solving TTSP comparing to other metaheuristic algorithms. In this chapter, BSO is first applied to solving TTSP cooperating with a real number coding strategy. For single-objective TTSP, BSO divides the solution space into several clusters and produces the new solution

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