ABSTRACT
This chapter extends the previous one by presenting advanced topics in Evolutionary Computation. We select the following issues to be examined: Variable Length Representation (VLR) systems; Evolutionary Algorithms using memory paradigms; Multi-objective Optimization; Speciation in Evolutionary Algorithms; Deception and Epistasy. These new paradigms endow Evolutionary Algorithms with properties that make them more plausible when compared to natural systems. They also turn Evolutionary Algorithms into more efficient tools to solve more complex search problems.
