From the Publisher: This book brings together - in an informal and tutorial fashion - the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.Expand

We introduce the Niched Pareto GA as an algorithm for finding and maintaining a diverse "Pareto optimal population" on two artificial problems and an open problem in hydrosystems.Expand

This paper considers a number of selection schemes commonly used in modern genetic algorithms on the basis of solutions to deterministic difference or differential equations, which are verified through computer simulations.Expand

In this paper, an algorithm based on the concepts of genetic algorithms that uses an estimation of a probability distribution of promising solutions in order to generate new candidate solutions is proposed.Expand

From the Publisher:
The Design of Innovation illustrates how to design and implement competent genetic algorithms - genetic algorithms that solve hard problems quickly, reliably, and accurately -… Expand

Introduces the compact genetic algorithm (cGA) which represents the population as a probability distribution over the set of solutions and is operationally equivalent to the order-one behavior of the simple GA with uniform crossover.Expand