ABSTRACT

The mystique of biologically inspired (or bioinspired) paradigms is their ability to describe and solve complex relationships from intrinsically very simple initial conditions and with little or no knowledge of the search space. Edited by two prominent, well-respected researchers, the Handbook of Bioinspired Algorithms and Applications reveals the

chapter 1|18 pages

Evolutionary Algorithms

chapter 2|20 pages

An Overview of Neural Networks Models

chapter |14 pages

3Ant ColonyOptimization

chapter 4|10 pages

Swarm Intelligence

chapter 6|18 pages

Parallel Cellular Algorithms and Programs

chapter 9|12 pages

Dynamic Updating DNA Computing Algorithms

chapter 11|22 pages

The Foundations of Autonomic Computing

chapter 27|22 pages

Bio-Inspired Data Mining