Optimizing Java_Practical Techniques for Improving JVM Application Performance(2018.05).A4.pdf
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Currently, no books exist that focus on the practicalities of Java application
performance tuning, as opposed to the theory and internals of Java virtual machines.
This practical guide is the "missing link" that aims to move Java performance tuning
from the realm of guesswork and folklore to an experimental science.
As many redundant and irrelevant features exist, there is a challenge in classifying biology data. These features mislead the classication algorithms and increase the error rate of classication. Feature Selection (FS) can identify redundant features and remove them from the raw data to solve this problem. However, it is plagued by high computational costs and local optimization. The heuristic algorithm is utilized to solve this problem in this article. Adaptive Fish Migration Optimization.