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Intro; Preface; Contents; Contributors; Acronyms; Part I Foundations; Brain Storm Optimization Algorithms: More Questions than Answers; 1 Introduction; 2 Nature-Inspired Intelligent Algorithms; 2.1 Evolutionary Computation; 2.2 Swarm Intelligence; 3 Brain Storm Optimization; 3.1 Brainstorming Process Model; 3.2 Brain Storm Optimization Algorithms; 4 Variants of BSO Algorithms; 4.1 Theory Analysis; 4.2 New Individual Generation Operation; 4.3 Distribution Function; 4.4 Transfer Function; 4.5 Hybrid Algorithms; 5 Problems Solving; 5.1 Single Objective Problems; 5.2 Multi-objective Optimization
5.3 Multimodal Optimization5.4 Real-World Applications; 6 Future Research; 6.1 Unified Swarm Intelligence; 6.2 Evolution and Learning; 6.3 Real-World Applications; 7 Conclusion; References; Part II Methodology; Brain Storm Optimization for Test Task Scheduling Problem; 1 Introduction; 2 Related Work; 2.1 Test Task Scheduling Problem (TTSP); 2.2 Brain Storm Optimization; 2.3 Multi-objective Optimization Algorithms; 3 Test Task Scheduling Problem; 3.1 The Mathematical Programming Model for TTSP; 3.2 Characteristics Analysis; 3.3 Encoding Strategy; 4 BSO Based Test Task Scheduling Algorithm
4.1 BSO Based Single Objective Test Task Scheduling Algorithm4.2 BSO Based Multi-objective Test Task Scheduling Algorithm; 5 Experimental Study; 5.1 Parameters Setting; 5.2 Experiment for Single Objective TTSP; 5.3 Experiment for Multi-objective TTSP; 6 Conclusion; References; Oppositional Brain Storm Optimization for Fault Section Location in Distribution Networks; 1 Introduction; 2 Problem Formulation; 2.1 Objective Function; 2.2 Switching Function; 3 Brain Storm Optimization in Objective Space; 4 Oppositional Brain Storm Optimization; 4.1 Opposition-Based Learning
4.2 Oppositional Brain Storm Optimization5 Application of OBSO for FSL; 6 Case Studies; 6.1 Test System; 6.2 Simulation Settings; 6.3 Performance Criteria; 6.4 Simulation Results and Comparison; 7 Conclusions and Future Work; References; Multi-objective Differential-Based Brain Storm Optimization for Environmental Economic Dispatch Problem; 1 Introduction; 2 The Formulation of Environmental Economic Dispatch Problem; 2.1 The Objective Function of EED Problem; 2.2 The Constraints of EED Problem; 3 Multi-objective Optimization Problem (MOP)
4 Brain Storm Optimization Algorithm Based on Differential Evolution4.1 Brain Storm Optimization Algorithm; 4.2 Brain Storm Optimization Algorithm Based on Differential Evolution; 5 Multi-objective Differential-Based Brain Storm Optimization Algorithm (MDBSO); 6 MDBSO Algorithm for Environmental/Economic Dispatch; 7 Experiments and Discussions; 7.1 Test System 1; 7.2 Test System 2; 8 Conclusions; References; Enhancing the Local Search Ability of the Brain Storm Optimization Algorithm by Covariance Matrix Adaptation; 1 Introduction; 2 Literature Review and Related Work; 2.1 Brain Storm Optimization
5.3 Multimodal Optimization5.4 Real-World Applications; 6 Future Research; 6.1 Unified Swarm Intelligence; 6.2 Evolution and Learning; 6.3 Real-World Applications; 7 Conclusion; References; Part II Methodology; Brain Storm Optimization for Test Task Scheduling Problem; 1 Introduction; 2 Related Work; 2.1 Test Task Scheduling Problem (TTSP); 2.2 Brain Storm Optimization; 2.3 Multi-objective Optimization Algorithms; 3 Test Task Scheduling Problem; 3.1 The Mathematical Programming Model for TTSP; 3.2 Characteristics Analysis; 3.3 Encoding Strategy; 4 BSO Based Test Task Scheduling Algorithm
4.1 BSO Based Single Objective Test Task Scheduling Algorithm4.2 BSO Based Multi-objective Test Task Scheduling Algorithm; 5 Experimental Study; 5.1 Parameters Setting; 5.2 Experiment for Single Objective TTSP; 5.3 Experiment for Multi-objective TTSP; 6 Conclusion; References; Oppositional Brain Storm Optimization for Fault Section Location in Distribution Networks; 1 Introduction; 2 Problem Formulation; 2.1 Objective Function; 2.2 Switching Function; 3 Brain Storm Optimization in Objective Space; 4 Oppositional Brain Storm Optimization; 4.1 Opposition-Based Learning
4.2 Oppositional Brain Storm Optimization5 Application of OBSO for FSL; 6 Case Studies; 6.1 Test System; 6.2 Simulation Settings; 6.3 Performance Criteria; 6.4 Simulation Results and Comparison; 7 Conclusions and Future Work; References; Multi-objective Differential-Based Brain Storm Optimization for Environmental Economic Dispatch Problem; 1 Introduction; 2 The Formulation of Environmental Economic Dispatch Problem; 2.1 The Objective Function of EED Problem; 2.2 The Constraints of EED Problem; 3 Multi-objective Optimization Problem (MOP)
4 Brain Storm Optimization Algorithm Based on Differential Evolution4.1 Brain Storm Optimization Algorithm; 4.2 Brain Storm Optimization Algorithm Based on Differential Evolution; 5 Multi-objective Differential-Based Brain Storm Optimization Algorithm (MDBSO); 6 MDBSO Algorithm for Environmental/Economic Dispatch; 7 Experiments and Discussions; 7.1 Test System 1; 7.2 Test System 2; 8 Conclusions; References; Enhancing the Local Search Ability of the Brain Storm Optimization Algorithm by Covariance Matrix Adaptation; 1 Introduction; 2 Literature Review and Related Work; 2.1 Brain Storm Optimization