2 Evolutionary Computation Algorithms
2.1 Introduction
Evolutionary computation algorithms are based on the biology evolution theory. Have you ever heard the phrase "Survival of the fittest" - Herbert Spencer? Imagine an island of castaways and the only resource of food are coconut trees. It make sense that whoever is tall enough will feed and survive. A few years after those people will match and give birth to children with better characteristics, in our case taller. So as the years gone by and generations comes and go the island will end up with almost only tall people.
Based on the evolutionary theory as described above, evolutionary computation produce solutions and keeping the fittest of them. In 1948, Alan Turing was the first who introduce this biological approach in problem solving. On 1962, we had the first actual experiments on "optimization through evolution and recombination".
Below I will analyse the most important components of an evolutionary computation algorithm and explain how it works.
2.2 Representation
Let us see now how this algorithm works. The algorithms randomly creates solutions. Each one of these solutions has a fitness value based on some criteria. Those solutions of a specific problem are also called Phenotype, while the encoding of each solution is called Genotype. We refer on Representation as the procedure of establish the mapping between genotypes and phenotypes. Representation is used as in two different ways. As mentioned before, representation establish the mapping between the genotype and the phenotype. This means that representation could encode ore decode the candidate solutions.
2.3 Fitness or Evaluation Function
Evaluation function or as is commonly referred the fitness function i...
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...ly into the new population. We repeated this procedure until the termination condition is matched.
Termination condition is the condition that ends the evolutionary computation cycles. Termination condition can be the maximum number of cycles allowed, ore in case we know the optimal solution the value of that solution.
2.8.2 Stages of the Algorithm
As the generations come and go the individuals in the population will become of better quality and the best of them will become even better. As present in the diagram below.
Let us now see the quality of individual the population over the time. As shown below at the starting point of the algorithm individuals are of less quality. However as the time goes by population’s individuals are getting of higher quality and reaching the pick of global and local optima. The image below illustrate these stages of the algorithm.
It seems to be that the previous generation always picks on the new one. It’s something that’s been going on for decades, with the cry of “When I was your age!” at the tip of every adult’s tongue when they see the slightest bit of laziness or incompetence. In reality, each new generation brings waves of progress and innovation, built on top of the old. In this respect, it’s because every generation has the duty to do better than the last. Each generation needs to be bigger, greater, and bolder but this proves to be a challenge after countless centuries of people accomplishing the very same task. However, this problem can be simply solved by breaking the components down into the individual level. People just need to stay true to themselves and the rest will follow. Of course as Andrew Solomon 's Son and Lelie Bell’s Hard to Get demonstrate, creating an identity is much easier said than done. People have an obligation to be better than the previous generation and accomplish this by discovering who they are and then staying true to themselves.
Evolution is described, as being the change that occurs on a genetic level when a new generation spouts from an ancestral population. Change is destined to happen. That is why in the science of biology the word evolution means descent with modification. Through various factors such as the temperature of the environment, humidity, and altitude a species will adapt to survive and will eventually pass on genetic traits that help the species next generation survive.
The simulator does something similar to this. The organisms in the beginning are identical. They have arms of a similar length as a result of their phenotypes. To simulate nature, every cycle we could say represents a generation. Every generation we see new organisms born with random mutations. Based on the environment we see different mutations on the newborn. For example, if its environment through the generations allowed its ancestors to survive, based on the phenotypes we saw in the ancestors we can see them again in the newborn. Basically saying that the parents of the newborn lived long enough to mate with the same traits., in turn giving the newborn those same exact traits. In this case, it is traits which code for arms length.
What is evolution? Evolution in modern terms is fairly easy to understand. Evolution is the theory that life on earth began with a single celled organism that lived more that 3.5 billion years ago that slowly evolved into many diverse creatures over time. When you break down this theory into sections you get 6 factors: evolution, gradualism, speciation, common ancestry, natural selection and nonselective mechanisms of evolutionary change.
Evolution in general, is a hard concept to grasp. There are multiple factors that effect the outcome a species, for example: genetics, nurture, nature, and the environment all play an important role. It was once said that species do not survive due to the fact that they are the strongest or the most intelligent, but because that species is the most responsive to change.
What is evolution? Evolution is a change in the traits of living organisms over generations. Since the development of modern genetics in the 1940s, evolution has been defined more specifically as a change in the frequency of alleles in a population from one generation to the next. In other fields evolution is used more generally to refer to any process of change over time.
This story is that, during the mid 21 century, because of the thaw of the iceberg that was floating in the Arctic, thus human created the Artificial Intelligence to help themselves to face the terrible environment easily. David is a robot like them. But he is the only one that is written into the love. As the first robot has love, he became the experimental article to be a kid for a couple who lost their son. As the time goes by, David still can’t join this family, and the couple thinks he can’t rather than their son exactly, so they make a decision to send to the company that created him to destroy him. However, they didn’t want to finally, but David can’t stay with them anymore. David thinks they don’t like him because he is not a real boy, if he can be a real boy, he will hear stories by his mother before he goes to bed, although he never need to sleep. So he still has a dream that one day, he will be a real boy, because he wants to be with his mother. His best friend and guide, Teddy helped him to find his dream and he says he will see him become a real boy. There is only one hope, Blue Fairy can help him to achieve him dream. However, you know, he did find her, but he was freezed with his best hope, Blue Fairy...
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Modern technology has taken amazing strides in the past few years. We have changed the way we deal with food production, agriculture, and many other aspects of life.. Scientists have begun utilizing these advances in technology and knowledge to gain insight as to how the human species functions. They are on the verge of manipulating the way humans relate to the natural world. This revolutionary breakthrough is what is known as Genetic Engineering. Genetic Engineering is the process of manually adding new DNA molecules into an already existing organism. A simplified version of the process works by physically removing a gene from one organism and placing it into another. This is being done in an effort to
The evolutionary theory is the concept that species evolve over time through the mechanism of natural selection of survival and reproduction. Natural selection means acting on the assumption that various living organisms were produced by genetic diversity and mutation. The evolution theory may also be referred to as the philosophizing science. This theory states that all phenomena are derived from natural causes and can be explained by scientific laws without reference to a plan or purpose.
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