Evolutionary Computation. Evolutionary computation is a fascinating subfield of artificial intelligence and soft computing that draws inspiration from biological evolution to solve complex optimization problems. Here’s a deeper dive into its key aspects: Core Concepts Population-Based Approach : Evolutionary computation involves a population of potential solutions to a given problem. These solutions evolve over time through processes analogous to natural selection and genetic variation. Fitness Evaluation : Each candidate solution is evaluated based on a fitness function, which measures how well it solves the problem at hand. The better the solution, the higher its fitness score. Selection : Solutions with higher fitness scores are more likely to be selected for reproduction. This mimics the natural selection process where the fittest individuals are more likely to pass on their genes.
The WOW! signal
The “Wow! signal” is a famous radio signal detected by
astronomer Jerry Ehman on August 15, 1977, while working on a SETI (Search for Extra-terrestrial
Intelligence) project at Ohio State University’s Big Ear radio telescope. The
signal was a strong, narrowband radio wave that lasted for 72 seconds and
appeared to come from the direction of the constellation Sagittarius1.
Jerry Ehman was so astonished by the intensity and clarity
of the signal that he circled the data on the printout and wrote “Wow!” next to
it, hence the name "Wow! signal"2.
This signal has intrigued scientists and the public alike because it seemed to
be a potential sign of extra-terrestrial communication. However, despite
numerous attempts to detect it again, the signal has never been observed since3.
The exact origin of the Wow! signal remains unknown,
and various hypotheses have been proposed over the years, ranging from natural
astrophysical phenomena to possible extra-terrestrial sources2.
Popular Posts
Comments
Post a Comment