A good JDBC framework can eliminate many of the problems associated with executing SQL statements in J2EE.

We continue with our discussion of using Java to create genetic algorithms that enable you to handle such diverse tasks as optimizing networks, maximizing mathematical functions, designing proteins in the pursuit of new drugs, and so on. Here, we look at more sophisticated algorithmic problems.

You can create genetic algorithms in Java that enable you to handle such diverse tasks as optimizing networks, maximizing mathematical functions, designing proteins in the pursuit of new drugs, and so on. Here, we look at an evolution simulation application as a core example.