OptQuest is a simulation optimization engine, built on a truly unique set of powerful algorithms and sophisticated analysis techniques including metaheuristics optimization, evolutionary algorithms, tabu search and scatter search, to name a few. The OptQuest WebAPI provides access to the OptQuest engine via a web server hosted on AWS. The available endpoints make it possible to explore problem search spaces for any (simulation) optimization without a custom wrapper to serve as the interface between your simulation and the OptQuest Engine.
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You pay by the hour for the OptQuest WebAPI running on your chosen Amazon EC2 instance size. Five instance options are available: t2.small, t2.medium, t2.large, t2.xlarge, and t2.2xlarge. These are not feature tiers. They differ by the compute capacity of the underlying machine. Each step up the list gives you more processing power and memory. You select the size that fits your optimization workload, then pay only for the hours you run. Larger instances cost more per hour because they provide greater compute resources.
Top-of-mind questions for buyers
What compute resources come with each t2 instance size I select?
Each t2 size maps to an Amazon EC2 machine with set virtual CPUs and memory. Sizes rise from t2.small through t2.medium, t2.large, t2.xlarge, and t2.2xlarge. Higher sizes carry more vCPUs and memory. You pick the size that matches your optimization workload's processing demand.
Am I charged when the OptQuest WebAPI instance is stopped or idle?
Hourly software charges apply while the instance runs. Fully stopped instances do not accrue running-hour charges. Stopped instances may still incur underlying AWS storage fees for attached volumes. The software meters running time only, so pausing work between optimization runs limits your hourly cost.
How does hourly usage billing work if my optimization workload varies over time?
You pay per hour for the instance size you run, with no upfront commitment. Charges accrue only while the instance runs. This suits variable workloads where you start the WebAPI for optimization jobs and stop it afterward. You can also change instance size between runs to match demand.
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An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Updated OptQuest Engine. Updated license.
Additional details
Usage instructions
The OptQuest WebAPI requires a subscription to an OptQuest WebAPI Amazon Machine Image (AMI). The WebAPI service will start automatically when the AMI is instantiated as an EC2 Instance. The web service's Demo page will be accessible on the root URL, for example: https://ec2-52-90-228-144.compute-1.amazonaws.com/
Note, the service uses a self-signed certificate so while the HTTPS protocol will be used, the Certificate will appear untrusted. Once the web server hosted on the AMI is running, access to the engine functionality is achieved through standalone HTTPS requests with JSON request bodies as needed. These requests can be executed in custom scripts so that the service can be leveraged to solve optimization problems in an automated manner.
API Endpoints
The OptQuest WebAPI provides an HTTP interface for the OptQuest Workflow.
Create Optimization POST /createOptimization Creates a new optimization by define inputs, outputs, objectives, and constraints.
Create New Solution POST /optimization/<optimization_id>/createSolution Creates a new solution with inputs to evaluate
Return Evaluated Solution PUT /optimization/<optimization_id>/<solution_id>/submitSolution Returns a solution with outputs that have been evaluated
Delete Optimization DELETE /optimization/<optimization_id> Clears the Optimization from memory
Get All Solutions GET /optimization/<optimization_id>/suggestedSolutions Returns list of all solutions for the optimization
Get Best Solution GET /optimization/<optimization_id>/getBestSolution Checks if the optimization is single or multi-objective. If single, returns the best solution. If multi, returns a list of all points on the frontier
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