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Artificial Immune Systems Graduate Lecture
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Slides
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Artificial Immune Systems (AISs) are intelligent methodologies inspired by the immune system towards real world problem solving. They are systems that lend themselves easily to meta-heuristic algorithms to solve problems more efficiently in high volume and high dimensional solution spaces.
Inspired by the mechanisms that control the human immune system, AISs perform especially well in pattern recognition tasks - an ability that is used in solving multiple different types of problems. With the use of techniques from the other domains of meta heuristic programming, such as Genetic Algorithms and probabilistic/heuristic searching, the range of problems to which AISs can be effectively applied is greatly increased.
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Single-Source MultiCommodity Network Flow Optimization Semester Project
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Proposal
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Code
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WriteUp
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Suppose you are attending a conference and have driven to the venue of this conference in your car. Suppose also, that all the other attendees have also driven to the conference venue in their cars (it might be worthwhile to note that this problem can be trivially extended to fit simple solutions such as carpools). At the end of the conference, everybody decides to leave the venue to go home. They have all printed driving directions for the fastest route to get back home. Note that people living close to each other will share the majority of their routes (such as highways), with minor differences only towards the end. There is however a problem there was a natural calamity during the conference, which caused the major roads to start sinking (note that this affects only the major roads). As a result, each road can only support a certain number of cars before it becomes unusable. Now, the new objective is to get everybody home, safely in minimal time.
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