Operations Research API
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Operations Research API bertujuan menyelesaikan masalah riset operasi tingkat tinggi menggunakan pemrograman linear, pemrograman bilangan bulat campuran, pemrograman batasan, dan banyak lagi. Memberikan solusi pengoptimalan untuk masalah tertentu kepada pengguna eksternal melalui panggilan API.
Layanan: optimasi.googleapis.com
Nama Layanan optimization.googleapis.com diperlukan untuk membuat stub klien RPC.
| Metode |
DesignShippingNetwork |
Menyelesaikan masalah desain dan penjadwalan jaringan pengiriman liner (LSNDSP) dari DesignShippingNetworkRequest yang ditentukan. |
SolveMathOptModel |
Memecahkan model input dan menampilkan hasilnya sekaligus. |
SolveShiftGeneration |
Memecahkan masalah pembuatan shift dari SolveShiftGenerationRequest tertentu dengan menghasilkan shift dari template shift tertentu untuk memenuhi permintaan karyawan. |
SolveShiftScheduling |
Memecahkan masalah penjadwalan shift tetap dari SolveShiftSchedulingRequest tertentu dengan menugaskan karyawan ke shift sehingga preferensi penjadwalan karyawan dapat dimaksimalkan dan pelanggaran batasan penjadwalan dapat diminimalkan. |
Kecuali dinyatakan lain, konten di halaman ini dilisensikan berdasarkan Lisensi Creative Commons Attribution 4.0, sedangkan contoh kode dilisensikan berdasarkan Lisensi Apache 2.0. Untuk mengetahui informasi selengkapnya, lihat Kebijakan Situs Google Developers. Java adalah merek dagang terdaftar dari Oracle dan/atau afiliasinya.
Terakhir diperbarui pada 2024-08-09 UTC.
[null,null,["Terakhir diperbarui pada 2024-08-09 UTC."],[[["\u003cp\u003eThe Operations Research API enables users to solve complex optimization problems, such as linear programming and constraint programming, through an API.\u003c/p\u003e\n"],["\u003cp\u003eIt offers solutions for specific operational research problems like shipping network design, shift generation, and shift scheduling.\u003c/p\u003e\n"],["\u003cp\u003eUsers can interact with the API using the service name \u003ccode\u003eoptimization.googleapis.com\u003c/code\u003e to create client stubs for making requests.\u003c/p\u003e\n"],["\u003cp\u003eThe API provides methods to manage long-running operations, including cancellation, deletion, retrieval of status, listing operations, and waiting for completion.\u003c/p\u003e\n"],["\u003cp\u003eSpecific methods like \u003ccode\u003eDesignShippingNetwork\u003c/code\u003e, \u003ccode\u003eSolveMathOptModel\u003c/code\u003e, \u003ccode\u003eSolveShiftGeneration\u003c/code\u003e, and \u003ccode\u003eSolveShiftScheduling\u003c/code\u003e address distinct optimization challenges.\u003c/p\u003e\n"]]],["The Operations Research API utilizes methods like linear and mixed integer programming to provide optimization solutions. Key actions include solving specific problems such as liner shipping network design, solving a math optimization model, and solving shift generation and scheduling problems. It manages long-running operations with methods to cancel, delete, get, list, and wait for operations. The service endpoint for this API is `optimization.googleapis.com`.\n"],null,["# Operations Research API\n\nThe Operations Research API aims to solve high-level operations research problems using linear programming, mixed integer programming, constraint programming and more. It provides optimization solutions for specific problems to external users through an API call.\n\nService: optimization.googleapis.com\n------------------------------------\n\nThe Service name `optimization.googleapis.com` is needed to create RPC client stubs.\n\n[google.longrunning.Operations](/optimization/service/reference/rpc/google.longrunning#google.longrunning.Operations)\n---------------------------------------------------------------------------------------------------------------------\n\n| Methods ||\n|-------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------|\n| [CancelOperation](/optimization/service/reference/rpc/google.longrunning#google.longrunning.Operations.CancelOperation) | Starts asynchronous cancellation on a long-running operation. |\n| [DeleteOperation](/optimization/service/reference/rpc/google.longrunning#google.longrunning.Operations.DeleteOperation) | Deletes a long-running operation. |\n| [GetOperation](/optimization/service/reference/rpc/google.longrunning#google.longrunning.Operations.GetOperation) | Gets the latest state of a long-running operation. |\n| [ListOperations](/optimization/service/reference/rpc/google.longrunning#google.longrunning.Operations.ListOperations) | Lists operations that match the specified filter in the request. |\n| [WaitOperation](/optimization/service/reference/rpc/google.longrunning#google.longrunning.Operations.WaitOperation) | Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state. |\n\n[google.research.optimization.v1.Optimization](/optimization/service/reference/rpc/google.research.optimization.v1#google.research.optimization.v1.Optimization)\n----------------------------------------------------------------------------------------------------------------------------------------------------------------\n\n| Methods ||\n|-----------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [DesignShippingNetwork](/optimization/service/reference/rpc/google.research.optimization.v1#google.research.optimization.v1.Optimization.DesignShippingNetwork) | Solves the liner shipping network design and scheduling problem (LSNDSP) from the given `DesignShippingNetworkRequest`. |\n| [SolveMathOptModel](/optimization/service/reference/rpc/google.research.optimization.v1#google.research.optimization.v1.Optimization.SolveMathOptModel) | Solves the input model and returns the result at once. |\n| [SolveShiftGeneration](/optimization/service/reference/rpc/google.research.optimization.v1#google.research.optimization.v1.Optimization.SolveShiftGeneration) | Solves a shift generation problem from the given `SolveShiftGenerationRequest` by generating shifts from given shift templates in order to cover the employee demand. |\n| [SolveShiftScheduling](/optimization/service/reference/rpc/google.research.optimization.v1#google.research.optimization.v1.Optimization.SolveShiftScheduling) | Solves a fixed shift scheduling problem from the given `SolveShiftSchedulingRequest` by assigning employees to shifts such that employees' scheduling preferences are maximized and scheduling constraint violations are minimized. |"]]
