It takes the average reader 7 hours and 30 minutes to read Swarm Intelligence and Bio-Inspired Computation by Shichang Sun
Assuming a reading speed of 250 words per minute. Learn more
In this chapter, we present the convergence analysis and applications of particle swarm optimization algorithm. Although it is difficult to analyze the convergence of this algorithm, we discuss its convergence based on its iterated function system and probabilistic theory. The dynamic trajectory of the particle is described based on single individual. We also attempt to theoretically prove that the swarm algorithm converges with a probability of 1 toward the global optimal. We apply the algorithms to solve the scheduling problem and peer-to-peer neighbor selection problem. This chapter is also concerned to employ the nature-inspired optimization methods in machine learning. We introduce the swarm algorithm to reoptimize hidden Markov models.
Swarm Intelligence and Bio-Inspired Computation by Shichang Sun is 450 pages long, and a total of 112,500 words.
This makes it 152% the length of the average book. It also has 137% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 10 hours and 14 minutes to read Swarm Intelligence and Bio-Inspired Computation aloud.
Swarm Intelligence and Bio-Inspired Computation is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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