Quantum Entangled Brain Storm Optimization
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Transcript of Quantum Entangled Brain Storm Optimization
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An Quantum Brain Storm Optimization for Fog Computing in 5G
ByBy
Qiong Wu, Tong Xu,Jun S. Huang and Ke Jiang
Rooster Year, 2017
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About the AuthorsQiong Wu, Associate Professor吴琼Tong Xu, Jiangsu徐童 Jun Steed Huang, Principal Engineer黄骏Ke Jiang, JiangsuKe Jiang, Jiangsu蒋可蒋可
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Outline Quantum Effect The Spooky Secret Superluminal Phenomenon
Brain Storm Optimization Swarm Intelligence Algorithms Tribe and Ethnic Clusters
Fog Computing in 5G Distributed or Centralized Moving or Stationary
Summary
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Quantum Effect
Your never know
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International Conference on Social Science [ICSS2014]
The Spooky Secret:Superluminal phenomenon totally violates the special theory of relativity, which says nothing’s speed exceeds light speed.Further more, as of today, no one knows what’s behind the strange phenomenon. 2 2
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Superluminal Phenomenon —Space time are naturally broken Experiment 1 (higher latitude on mountain): In 2008, Geneva researchers found that the quantum entanglement is much faster than 10,000 times of speed of light.
Experiment 2 (lower latitude at sea level): In 2013, Qingdao scientists concluded that, it is 9931 times around the speed of light.
∵ E = m c (3+1)/2= m g e/2 ∩ e = 2.71828182846 c = 299792458 m / s
∴ g/c = 9930.509917796768180071686850124
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Hendrik Anton Lorentz & George Francis FitzGerald …
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2D is the essential world: going out the wormhole
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2D is the essential home : coming back the same way
Phoenix
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Qubit states
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You knew what you want
Brain Storm Optimization
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International Conference on Social Science [ICSS2014]
Most swarm intelligence algorithms are inspired by simple self-designed synergy,
Particle Swarm Optimization is inspired by synergistic effect by birds,
Ant Colony algorithm is inspired by synergistic effect by ants and
Fire Flies optimization algorithm is inspired by synergistic effect by fire flies,
Brain Storm Optimization algorithms inspired by synergistic effect by us - the most intelligent creature!
PSO
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International Conference on Social Science [ICSS2014]
In the BSO algorithm, the solutions are clustered into several categories, and the new solutions are generated by the mutation of cluster or existing solutions.
The BSO algorithm can be seen as a combination of swarm intelligence and data mining techniques.
Every individual in the brain storm optimization algorithm is not only a solution to the problem to be optimized, but also a data point to reveal the landscapes of the problem.
BSO
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What is the ethnic clustering?It means that, in a city, one area will be predominately asian, one area will be primarily black, one area will be predominately white, etc
Observation: If an area's economy is growing, existing communities draw immigrants; if it isn't, then the population doesn't change.
Conclusion: To evolve a solution, the cluster must be changed persistently.
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26 Swarm OptimizationsASO: Ants colonyBSO: Brain stormingCSO: Chicken roosterDSO: Duck friendlyESO: Eel genderFSO: Firefly flashingGSO: Gorilla troopsHSO: Honey beeISO: Impala bachelorJSO: Jackal pairsKSO: Kangaroo mobsLSO: Little brown batMSO: Monkey tribe
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26 Swarm OptimizationsNSO: Nile crocodileOSO: Otter playPSO: Particle swarmQSO: Quail flockRSO: Rat invasionSSO: Swan wedgeTSO: Timber wolfUSO: Urial herdVSO: Vulture kettleWSO: Whale travelXSO: Xerus watchYSO: Yak herdZSO: Zebra run
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In the BSO algorithm, the solutions are clustered into several categories, and the new solutions are generated by the mutation of cluster or existing solutions.
The BSO algorithm can be seen as a combination of swarm intelligence and data mining techniques.
Every individual in the brain storm optimization algorithm is not only a solution to the problem to be optimized, but also a data point to reveal the landscapes of the problem.
Qubit-BSO
|0> |1>
Fitness β α
warmholes positive negative
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Fog Computing in 5G
You may not get what you want
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Distributed or Centralized Cloud Computing is too slow, as the server farm is too far from you.
Edge Computing is too small, as the server has limited items in there.
Fog Computing is neither slow, nor small
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Moving or Stationary Mobile Cloud Computing is too slow, as the wireless pipe is not solid.
Mobile Edge Computing is not fast, as there are many users.
Fog Computing in 5G is fast, and rocket solid.
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Trace down pesticides
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SUMMARYFog is not Given, but Made! So is the5G!!
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Quantum brains sat in both local minimum clusters at the same timeBSO-0 fitness is BSO-1 probabilityBSO-1 fitness is BSO-0 probabilityThe fitness is given by (∑x1.5 )1/1.5
M*S1*S2 = E*T1*T2
T2
T1
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M*S1*S2 = E*T1*T2
T2
T1
Portable pesticide detection uploading downloading fog
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Only after your smart phone APP randomly accessed one of the servers through randomly selected fog nodes based on randomly sampled food from the randomly picked up boxes, will you know, for sure, if the food contains poison pesticide or not?
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Thank you!
Questions?