Write codes to implement particle swarm algorithm with population size of 3 (set initial positions and velocities to x-[3.3],x-[8,8].x [6,6],[1,1]') and = = @=0.9,₁ =c₂=2.
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- Suppose a Genetic Algorithm uses chromosomes of the form x=abcdef with a fixed length of six genes.Each gene can be any digit between 0 and 9 . Let the fitness of individual x be calculated as : f(x) =(a+b)-(c+d)-(e+f) And let the initial population consist of four individuals x1, ... ,x4 with the following chromosomes : x1 = 3 5 3 2 6 5, x2 = 9 8 0 1 2 2, x3 = 1 2 2 1 2 3, x4 = 7 9 2 3 1 1 1. 1.Evaluate the fitness of each individual, showing all your workings, and arrange them in order with the fittest first and the least fit last. 2. calculate the average fitness. 3. Perform the following crossover operations:a- Cross the fittest two individuals using one point crossover at the middle point.b- Cross the second and third fittest individuals using a two point crossover (points b and e). Suppose the new population consists of the four offspring individuals received by the crossover operations in the above question. Evaluate the fitness of the new population, showing all your…Suppose a genetic algorithm uses chromosomes of the form x = abcdefghwith a fixed length of eight genes. Each gene can be any digit between 0 and 9. Let the fitness of individual x be calculated as: ?(?)=(?+?)−(?+?)−(?+?)−(?+ℎ) And let the population consist of fiveindividuals with the following chromosomes: ?1=12345678 ?2=23456781 ?3=45637281 ?4=53617284 ?5=23921285 a)Computethe fitness value for each individual and sort them in order with the fittest first and the least fit last. b)To create mating pool, roulette wheel selection is used. You will select the individuals. The random values to perform roulette wheel selection are 0.15, 0.56, 0.50, 0.68, and 0.95respectively. Please construct the mating pool step by step and write the selected individuals clearly. c)Perform thefollowing crossover operations in the mating pool: i)Cross the fittest two individuals using one–point crossover at the middle point. ii)Cross the second and third fittest individuals using a two–point crossover…(Python) Implement using PnP methods from OpenCV to compute the camera pose. In this example, we have a flat plate on a table. We can use Harris corner detection to detect the four corners of the plate on the image. Then we can apply PnP methods to compute the camera pose with respect to the plate. Here, the 3D coordinates of the four corners are (-0.05, -0.05, 0), (0.05, -0.05, 0), (0.05, 0.05, 0) and (-0.05, 0.05, 0).
- Develop a brute-force algorithm that finds the longest common sequential elements of two given lists with the Java programming language. For example, the following two lists are given: S1 = [B,C,D,A,A,C,D] S2 = [A,C,D,B,A,C] Common lists are: [B,C], [C,D,A,C], [D,A,C], [A,A,C], [A,C], [C,D], … Note that although both lists have a common [C,D,A,C] (sub)list, both list items are skipped and the left-to-right order is intact. Apply the brute force algorithm. Explain Time Complexity?Create a simple matching algorithm for a round robin competition. in which the number of participants is n (1 n) and the round index is r (0 r 2 (n 1)/2.out: When i = 0,..., n/2 1, a sequence R of n player indices signaling the match pairings between players R2i and R2i+1; if n is odd, Rn1 denoting the resting playerConsider eight points on the Cartesian two-dimensional xx-yy plane. For each pair of vertices uu and vv, the weight of edge uvuv is the Euclidean (Pythagorean) distance between those two points. For example, dist(a,h) = \sqrt{4^2 + 1^2} = \sqrt{17}dist(a,h)=42+12=17 and dist(a,b) = \sqrt{2^2 + 0^2} = 2dist(a,b)=22+02=2. Using the algorithm of your choice, determine one possible minimum-weight spanning tree and compute its total distance, rounding your answer to one decimal place. Clearly show your steps.
- The algorithm consists of the following steps.1. Input: A weighted graph G = (V, E, w)2. Output: A maximal weighted matching M of G3. M ← Ø4. E ← E5. V ← V6. while E = Ø7. select at random any v ∈ V8. let e ∈ E be the heaviest edge incident to v9. M ← M ∪ e10. V ← V {v}11. E ← E \ {e and all adjacent edges to e}make two ways of implementing this algorithm in Python. don't copy bartleby old answer its wrong need correct ans otherwise you will get downvoteThe language for coding must be in python Neural Network Units Implement a single sigmoid neural network unit with weights of [-1.2, -1.1, 3.3, -2.1] Calculate the outputs for two training examples:Example 1: [0.9, 10.0, 3.1, 1]Example 2: [0.9, 2.1, 3.7, 1] Note that you don't have to explicitly include a threshold or bias since the examples include a last element of 1 which means that the last weight effectively operates as a threshold. Assuming that a sigmoid unit response >0.5 denotes a positive class and <0.5 is negative class, is example 1 positive or negative? is example 2 positive or negative? Create a single ReLU unit and provide the outputs for those examples. Calculate the derivative of the sigmoid with respect to net input for both examples Calculate the derivative of the ReLU with respect to net input for both examplesWrite a python program based on the discussion we had on the last day of class, to train a network with two hidden layers each with 5 neurons. Finish the gradient computation we did in class, and implement a steepest decent search for a network which minimizes the cost function. Once you believe that your network is trained, compute the value of n(1, 1) and see what you get. Bonus: If you easily get this to work, then try to generalize to K neurons in each of the two hidden layers. Does the training work better with more neurons?
- Write a Brute force algorithm to find all the common elements in two lists of integer numbers. (e.g., the output for the lists [1, 3, 4, 7] and [1, 2, 3, 4, 5, 6] should be 1, 3, 4). Show the time complexity of the algorithm if the lengths of the two given lists are m and n, respectively.Consider the problem of counting, in a given text, the number of substrings that start with an A and end with a B. For example, there are four such substrings in CABAAXBYA.a. Design a brute-force algorithm for this problem and determine its efficiency class.b. Design a more efficient algorithm for this problem with complexity O (n)Write a JAVA program to find maximum sum subarray such that start and end values are same for instance given arr = [9, 9,1,1,10,2,4,10] output: Subarray : (9, 9) sum= 18Subarray : (1, 1) sum= 2Subarray : (10, 2, 4, 10) sum= 26 The Subarray with the largest sum is : (10, 2, 4, 10) and the Sum is : 26