I am trying to do a problem of solid waste collection vehicle routing using Genetic algorithm in C++. So here raises the question why should I use GA. How do I defense this question? My main logic is solid waste collection problem is a non linear problem thats why for solving it I chose GA. So can it be like I can form a model to prove its non linearity? If its modeling is possible what things do I need to focus?
For example if they wanted you to implement a back-pack solution and it was specifically phrased like that as part of the contract (via perhaps associated requirements) then it might be reasonable to document which one you chose but not provide how you implemented it.
However if you implemented a standard business application and there are no specific contractual (or implicitly contractual requirements because it wasn't explicit) and thus the customer thinks you should give then the source code - then no.
1- Is there a specific contractual obligation
2- How significant is the algorithm in terms of the work product.
3- What is your business relationship with the client? So for example if you expect to get jobs from them for the next 10 years then you might want to give something up. But if you want to sell the product to 10 competitors to the client then probably not.
Thank you for your answer.1) There was no contractual obligation at the start of writing the source code, only after I had started was this asked for.
2)Without the algorithm the programe wouldn't work in anyway.3) first time I have worked for this client, he is proving most troublesome and I cannot see any need for me in the next ten years (although a memeber of his team is planning on jumping ship and maybe taking me with him).
In the UK when working with the UK Government, you have to keep the bespoke source code with a trusted third party (e.g. a solicitor, with the source code on a CD/memory stick). The UK Government can only access that source code if the bespoke software development company fails. This allows the UK Government to keep its investment secure as they can take the source code to another bespoke development company, if needed.
Hope that provides an alternative solution which may be acceptable to your client.
A Prime Sieve or Prime Number Sieve is defined to be a fast type of algorithm for finding prime numbers. There are quite a lot of prime sieves that can be found. So the question remains: which one should I implement?
First we must ask: exactly how does a Prime Sieve work? What does it do? Well, here's the answer! A prime sieve works by creating a list of all integers up to a what ever limit and then progressively removing numbers that are made up of multiple elements (composite)until only primes numbers remain. This is one of the most known the most efficient ways to obtain a large range of prime numbers.
The catch with prime numbers is that to this day there's no algorithm that will find them all in any given interval without resorting to any form of trial and error or anyway without making any comparison against a set of pregress data.
Unbelievable as it sounds, that's the current truth.
Should you discover such an algorithm it'd earn you both a Nobel and a very fat place in hystory, hands down.
In a CAD program, I want to find the (vector) entities that bound a given point.
1) Is a seed fill type algorithm the best choice for this? Or is there a quicker / better / more efficient method?
2) Once I've found my bounding entities, can I make my 'is the boundary contiguous' check fault tolerant to some degree? And what approach would be best? If my line ends aren't coincident, for instance, I could perhaps extended them be a certain tolerance to see if they 'almost cross'? (and then use the 'virtual' vertex in my bonding shape)
A k-d tree ([^]) is good for nearest-neighbor and range searches.
It's like a standard binary search tree, except the discriminant (the value you use to decide on the left or right branches) alternates between the X and Y coordinates at each level.
So at each level, you can eliminate half the search space, depending on if the X or Y coordinates are beyond the point you're searching around. (If neither can be eliminated, you recursively search down both the left and right branches.)
Once you have the entities that are clustered around your point, you can check if they overlap to detect a contiguous entity path around the point.
"Microsoft -- Adding unnecessary complexity to your work since 1987!"
I have path which is in '*' (asterisk) shape. All the ends are the nodes such that there is 8nodes and one node in the center. I want to form an algorithm that could start the journey from one end and travel to all the other nodes.Can any one guide me through this. How should i proceed the coding?
There are many ways to do this. Probably the simplest is depth-first search, which visits each unvisited node connected to the current node, recursively.
To implement this, you need a Boolean "visited" member of the node structure, which is initially false in all nodes.
You call the search function with any node to start. The function then sets "visited" to true, and calls itself recursively with each of the node's unvisited neighbors. When it returns at the top level, you've visited all the nodes.
"Microsoft -- Adding unnecessary complexity to your work since 1987!"
Please put a picture of the shape that shows the nodes and paths (lines connecting the nodes) An asterisk has six points, not eight. Maybe you mean a star, then people need to know if you are including the inside corners.
Dear members,I am trying to do optimization of water supply network by using particle swarm optimization method,and I have the objective function but my problem is how I can use PSO in Matlab,I have tried to download some codes,but still is difficult for me to use it since I am new in optimization,please any help
I am trying to do problem in which i have numbers of points. Now i need to find the path that goes through all the points. This is not actually TSP because as per my knowledge in TSP it is possible to travel from all points to every other points. But in my case the path network is fixed and i just need to find the path that goes through all the points provided that all points may not have connection to every other point..so what algorithm am i supposed to follow.
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