simulated evolutionary computation (simulated evolutionary computation) It is a research field of information science, artificial intelligence and computer science in the last 20 years, and the bionic algorithm (genetic algorithm, evolutionary Strategy, evolutionary program) derived from the optimization problem, because of its vivid biological background, novel design principle, unique analysis method and successful application practice, Is increasingly forming a new branch of global search and multiobjective optimization theory.
Genetic algorithms (genetic algorithm, or GA) are optimized for searching by simulating the evolutionary process of organisms. Many problems of scientific research, engineering practice and national economic development can be attributed to the typical optimization model such as "maximum benefit and minimum cost". Solving such a model leads to the search for an optimal solution to a specific area of a target function (with analytic or non-analytic expressions).
CI: Simulated evolution and genetic algorithm
