Collaborative Scheduling for Electromagnetic Detection Satellites: Model and Reinforcement Learning-based Evolutionary Algorithms focuses on the models and algorithms related to electromagnetic detection satellite scheduling problems. Sections provide an overview, including background and current state of development and then move on to the basic model of cooperative scheduling and the framework of learning evolutionary algorithms. Next, the book examines cooperative scheduling of homogeneous electromagnetic detection satellites for stationary target detection and reviews research on cooperative planning of heterogeneous electromagnetic detection satellites for low-speed moving target detection. Final sections examine cooperative scheduling of heterogeneous electromagnetic detection satellites for high-speed moving target detection. Readers will find this to be an in-depth introduction to electromagnetic detection satellite problems.Highlights Collaborative Scheduling for Electromagnetic Detection SatellitesProvides the first book to address the problem of scheduling for electromagnetic detection satellitesPresents a new model of construction and algorithmsContains a large volume of pseudo-code for readers to useIncludes simulation experiments that can be used by researchers for comparative reference

Collaborative Scheduling for Electromagnetic Detection Satellites: Model and Reinforcement Learning-based Evolutionary Algorithms focuses on the models and algorithms related to electromagnetic detection satellite scheduling problems. Sections provide an overview, including background and current state of development and then move on to the basic model of cooperative scheduling and the framework of learning evolutionary algorithms. Next, the book examines cooperative scheduling of homogeneous electromagnetic detection satellites for stationary target detection and reviews research on cooperative planning of heterogeneous electromagnetic detection satellites for low-speed moving target detection. Final sections examine cooperative scheduling of heterogeneous electromagnetic detection satellites for high-speed moving target detection. Readers will find this to be an in-depth introduction to electromagnetic detection satellite problems. - Highlights Collaborative Scheduling for Electromagnetic Detection Satellites- Provides the first book to address the problem of scheduling for electromagnetic detection satellites- Presents a new model of construction and algorithms- Contains a large volume of pseudo-code for readers to use- Includes simulation experiments that can be used by researchers for comparative reference

Since the 21st century, national aerospace industry has developed rapidly with an explosive increase in satellites. To coordinate the in-orbit satellites and their management resources for better social, economic, and military applications, the satellite task scheduling is required. As the satellite management and application manners change over the years, cross-agency and cross-model have become the new normal, and the integration and quick-response have become the new requirements. Under such circumstances, the one satellite, one system shortcoming in system development and application occurs, while those systems that differ in agencies, modes, and types cannot accommodate each other; hence, the generality of satellite scheduling models and algorithm must be strengthened. To address the one satellite, one system shortcoming, the cooperative, flexible, efficient applications, and the monopoly of the U.S. STK/Scheduler, a Satellite Task Scheduling Engine that contains general-purpose modeling and optimization methods is studied in this book.

Collaborative Scheduling for Electromagnetic Detection Satellites: Model and Reinforcement Learning-based Evolutionary Algorithms focuses on the models and algorithms related to electromagnetic detection satellite scheduling problems. Sections provide an overview, including background and current state of development and then move on to the basic model of cooperative scheduling and the framework of learning evolutionary algorithms. Next, the book examines cooperative scheduling of homogeneous electromagnetic detection satellites for stationary target detection and reviews research on cooperative planning of heterogeneous electromagnetic detection satellites for low-speed moving target detection. Final sections examine cooperative scheduling of heterogeneous electromagnetic detection satellites for high-speed moving target detection. Readers will find this to be an in-depth introduction to electromagnetic detection satellite problems.Highlights Collaborative Scheduling for Electromagnetic Detection SatellitesProvides the first book to address the problem of scheduling for electromagnetic detection satellitesPresents a new model of construction and algorithmsContains a large volume of pseudo-code for readers to useIncludes simulation experiments that can be used by researchers for comparative reference

Collaborative Scheduling for Electromagnetic Detection Satellites: Model and Reinforcement Learning-based Evolutionary Algorithms focuses on the models and algorithms related to electromagnetic detection satellite scheduling problems. Sections provide an overview, including background and current state of development and then move on to the basic model of cooperative scheduling and the framework of learning evolutionary algorithms. Next, the book examines cooperative scheduling of homogeneous electromagnetic detection satellites for stationary target detection and reviews research on cooperative planning of heterogeneous electromagnetic detection satellites for low-speed moving target detection. Final sections examine cooperative scheduling of heterogeneous electromagnetic detection satellites for high-speed moving target detection. Readers will find this to be an in-depth introduction to electromagnetic detection satellite problems. - Highlights Collaborative Scheduling for Electromagnetic Detection Satellites- Provides the first book to address the problem of scheduling for electromagnetic detection satellites- Presents a new model of construction and algorithms- Contains a large volume of pseudo-code for readers to use- Includes simulation experiments that can be used by researchers for comparative reference

Since the 21st century, national aerospace industry has developed rapidly with an explosive increase in satellites. To coordinate the in-orbit satellites and their management resources for better social, economic, and military applications, the satellite task scheduling is required. As the satellite management and application manners change over the years, cross-agency and cross-model have become the new normal, and the integration and quick-response have become the new requirements. Under such circumstances, the one satellite, one system shortcoming in system development and application occurs, while those systems that differ in agencies, modes, and types cannot accommodate each other; hence, the generality of satellite scheduling models and algorithm must be strengthened. To address the one satellite, one system shortcoming, the cooperative, flexible, efficient applications, and the monopoly of the U.S. STK/Scheduler, a Satellite Task Scheduling Engine that contains general-purpose modeling and optimization methods is studied in this book.