Fireflies Unit 8 Lab Report

The mole is a convenient unit for analyzing chemical reactions. Avogadro’s number is equal to the mole. The mass of a mole of any compound or element is the mass in grams that corresponds to the molecular formula, also known as the atomic mass. In this experiment, you will observe the reaction of iron nails with a solution of copper (II) chloride and determine the number of moles involved in the reaction. You will determine the number of moles of copper produced in the reaction of iron and copper (II) chloride, determine the number of moles of iron used up in the reaction of iron and copper (II) chloride, determine the ratio of moles of iron to moles of copper, and determine the number of atoms and formula units involved in

The purpose of the lab was to see what color bead bug would survive the longest in the environment. By performing the experiment, natural selection was being tested. Natural selection is when organisms that are most suited to the environment survive and reproduce more successfully. Certain colored bead bugs would survive longer, because they blended in. The bead bugs that are a more prominent color stood out more and were eaten right away. This experiment displays how the population of bead bugs changes over the generations, due to the amount being eaten and the amount of bead bugs that were reproduced.

3. Design an algorithm in pseudocode to solve the problem. Make sure to include steps to get each input and to report each output.

In my implementation of fuzzy genetic algorithm ii followed the steps of genetic algorithm so I started with reading the data of KDDCup99 and creating a population, this population was composed of number of individuals which are the records in the KDDCup99 which means that each individual has an array of genes to hold the features of audit records. This was accomplished by first encoding audit record data into binary because some feature such as protocol type has value "TCP". Once i finished creating my initial population I evaluated every individual in the population to calculate its fitness using function below

the algorithm comparison between fitness fifth function of De Jong and the number of populations

The simulation accurately demonstrates the variation in traits and the ability of the best adapted to survive easier when simulating the process of natural selection. However, the simulation doesn’t accurately demonstrate natural selection due to the lack of heredity. In the game, the light and dark moths flew across the screen in the same numbers throughout the simulation, not showing how there would be less and less of the moths that weren’t the same color as the forest, which is how heredity works in the real world. In the Light Tree Forest, the average percentage of dark moths that remained was 49.3%, and the average percentage of light moths that remained was 50.6%. Since there wasn’t a dwindling of the population of black moths, for many

7. Again, set the number of offspring to the maximum of 6. Then, click the Cross button repeatedly until these parents have produced about 100 F1 offspring.

In experiment F I loaded the Green-1 flower from the Greenhouse, set all the fitness values to 5 and waited for an orange flower to appear. In the eighth generation I finally got an orange flower. I did the experiment again, but I set the fitness value for orange to 10 and all the others to 2. In the ninth generation

Grave of the Fireflies without doubt, the saddest film I have ever seen. I can't imagine experiencing sadness these intense, ever, not even ranking films, just in my normal life. I guess that says something about the quality of life I've lived and how little adversity I've faced, how unshaped I am by tragedy to the point where this film qualifies as the saddest moment of my life. And there is true ache and real, actual tragedy that occurred that is even more overwhelming than this film or any film can depict, because it is tangible and very real. I think I've only tasted true sadness, and I hope I don't have to, but I know I will. I will one day become broken in some sense. I will lose something irretrievable. My parents will die; I will suffer

When the adult firefly finally emerges as the lighting bugs it has only one real purpose to reproduce itself. Focus of a firefly is to find a mate, which make a task easier by its ability to signal other fireflies with their light. Though not all species of fireflies can produce light, those that do flash a specific pattern which can locate compatible individuals of the opposite sex. Mostly the male flies low to the ground, flashing a signal with the light organ on his abdomen, and a female resting on vegetation returns his community By repeating this exchange, the male homes in on her.not as always that all fireflies feed as adult some simply mate, produce offspring, and die. This is not the story actually for almost

This calculation subject to the commit brood parasitic conduct of some cuckoo species in gatherings with the Duty flight conduct of some organic product flies and feathered creatures. Cuckoo look calculation is exceptionally powerful in getting better and acceptable answers for the issue of parameter estimation of Programming Unwavering quality Development Models. This calculation seek methodology can professionally direct all through the issue look space and find great arrangements using less emphases and lesser populaces.

The known target vector of each krill swarm is the lowest fitness of an individual krill in that herd. The effect of the individual krill with the best fitness on the ith individual krill is taken into account using Equation (8). Such effects can increase the chance of finding the global optima.

\par Chromarians have sensors to navigate their world whose quality depends on each individuals morphology. Values from each individual's sensors are inputed to a behavioral controller - neural network evolved by HyperNEAT - producing an output that says where an individual would move and if it is willing to plant itself at a given spot. A matching value for the given spot where an individual wants to plant itself is counted and compared to a threshold that decides if planting for the given individual at the given spot is allowed. By allowing or not allowing Chromarians to plant at a given spot, the treshold controls the strictness of the MC.

. Population based search involves evolution of group of points in search space such as in ant colony optimization and evolutionary computation techniques. The mode of origin is another basis to distinguish between nature inspired and no nature inspired metaheuristic algorithm. Evolutionary computation and Ant Colony Optimization belongs to the class of nature inspired whereas tabu search and iterated local search belongs to the class of non nature inspired algorithms. Metaheuristic algorithms are also known as search based techniques or optimization algorithms which when applied to software engineering problems gave rise to Search Based Software Engineering (SBSE) [3] which reformulates software engineering problems as search problems. It is a collective attempt to shift from human based search to machine based search by applying search based optimization techniques. These methods encompass representation of problem and defining fitness function. SBSE treats search problem as one where optimal or near optimal solution are sought in a search space of solution by making use of fitness function that discriminates worse and better solution. Although many researchers, practitioners have applied search based optimization to software engineering domain, SBSE term was first coined by Harman and Jones [3] in 2001 in their work which advocates Search Based Optimization as a general approach to Software Engineering. A number of SBSE methods such as Simulated Annealing (SA), Genetic

C.Due to lack of analytical mechanism ,creating the design for swarm based system is difficult.