There are several applications known for wireless sensor networks (WSN), and such variety
demands improvement of the currently available protocols and the specific parameters …

This Third Edition provides the latest tools and techniques that enable computers to learn
The Third Edition of this internationally acclaimed publication provides the latest theory and …

Natural evolution is a population-based optimization process. Simulating this process on a
computer results in stochastic optimization techniques that can often outperform classical …

Metaheuristics are the most exciting development in approximate optimization techniques of
the last two decades. They have had widespread successes in attacking a variety of difficult …

Rapid developments in the field of genetic algorithms along with the popularity of the first
edition precipitated this completely revised, thoroughly updated second edition of The …

The fourth edition of this bestselling textbook explains the principles of artificial intelligence
(AI) and its practical applications. Using clear and concise language, it provides a solid …

In this paper, a workflow of ANN-based model development for data-driven prediction of the
local two-phase flow parameters has been proposed. To effectively construct an ANN-based …

Large scale wireless sensor networks (WSNs) can be used for various pervasive and
ubiquitous applications such as security, health-care, industry automation, agriculture …

We present a complete, fully automatic solution based on genetic algorithms for the
optimization of discrete product placement and of order picking routes in a warehouse. The …

An Indexed Bibliography of Genetic Algorithms: Years 1957-1993 Page 1 An Indexed
Bibliography of Genetic Algorithms: Years 1957-1993 compiled by Jarmo T. Alander …