Finding the best answer among the various solutions to complex and
mathematical problems is called optimization. There are two types of optimization
problems; continuous optimization and discrete optimization. Finding the solution in
these environments is the best solution for that particular solution. Optimization exists
in many fields and sciences, and it shows that if researchers provide the most quality
optimization algorithms, it can have a great impact on human life. Optimization is
similar to finding a treasure in an area. In this analogy, you have to mobilize a crowd to
find this treasure. Since the population does not know the location of the treasure from
the beginning, these populations will start searching at random and will reach near to it
at a certain time. The topic of the search here is very important. It is very important to
find a mechanism that can best organize the population. The search engine must follow
certain ideas and rules. In the optimization problem, the most important step is proper
search. In optimization issues, the concept of the best answer, best search, best solution
and best organization is desired. Nowadays, optimization can be applied everywhere
we deal with big data.
Keywords: Algorithm, Environments, Mathematics, Nature, Optimization, Space.