This paper surveys strategies applied to avoid premature convergence in Genetic
Algorithms (GAs). Genetic Algorithm belongs to the set of nature inspired algorithms. The …

The latest book on Genetic Programming, Poli, Langdon and McPhee's (with contributions
from John R. Koza) A Field Guide to Genetic Programming represents an exciting landmark …

Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications
discusses algorithmic developments in the context of genetic algorithms (GAs) and genetic …

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The goal of having computers automatically solve problems is central to artificial
intelligence, machine learning, and the broad area encompassed by what Turing called …

DNA strand displacement technology performs well in sensing and programming DNA
segments. In this work, we construct DNA molecular systems based on DNA strand …

We study both genotypic and phenotypic convergence in GP floating point continuous
domain symbolic regression over thousands of generations. Subtree fitness variation across …

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We consider the theoretical results in GP so far and prospective areas for the future. We
begin by reviewing the state of the art in genetic programming (GP) theory including …

We present a new methodology, based on a combination of genetic algorithms and image
morphometry, for matching the outcome of a Monte Carlo simulation to experimental …