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I know it is possible to solve a VRP problem using OptaPlanner. I would like to know if it is possible to route a Heterogeneous Fleet of Vehicles using OptaPlanner.
Yes, it's been done before.
Just change the (Vrp)Vehicle class accordingly. Currently it already has a capacity, so you can already model vehicles with different capacities. But it's trivial to add other properties (such as maximumSpeed, driverLicenseLevelRequirementEnum, safeAgainstRobberyBoolean, ...).
Then simply use those properties in your new/existing score constraints.
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If I want to create a long sequence (at least ten) of yes and no questions in dialogFlow, using webhook to store results, do I need to create an intent for each question or could this be done programatically from the webhook somehow, enforcing the order of the sequence in a better way and possibly making the code less extensive?
A sequence of questions like:
Is cucumber a fruit? Yes/No, Are there flying fish? Yes/No, e.t.c.
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In Hybris, I need to create a new cache region for a specific flexible search query but not all queries.
Hybris cache region is bonded with the type system, means you can specify a region for a type to store its entities.
So with the OOTB standards, you can't simply specify a region for the single query. Better you choose right evictionPolicy (LFU).
But yeah, the feature called TTL helps you. Refer to this post
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I have 2000+ training images(of custom farm structures) and I want to define my own model using Tensorflow. I researched (https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/defining_your_own_model.md). This is a very high-level documentation. Can anyone help me on how to go about doing this?
The documentation serves as a high level guide in itself, but you essentially need to create a DetectionModel-based class.
You will need to design and implement the methods defined abstractly in the DetectionModel class here such that you create a model that is an instance of this abstract core class. How you design those functions is up to you, but the documentation you linked above provides some good guidelines.
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I need it to do some entity extraction. How do I get an annotated dataset with JobTitles?
Here is what I suggest to do, if you haven't come across any datasets. Grab wikipedia occupation lists: https://en.wikipedia.org/wiki/Lists_of_occupations, create a gazetteer list of jobs and write regular expressions to capture them or any variations in the text and you have annotated data :).
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What are applications where search techniques or more specifically planning techniques are used? I am most interested in examples in use.
I know that A* is used for path planning in Robotics, that planning is used in logistics (details would be great) but what other usages are there?
For Search in general Google, etc come to mind with their inverted indices. Again, where else is it used?
For planning examples, including logistics challenges, take a look at this list. Each use case comes with multiple datasets and a problem definition.