| LAP Lambert Academic Publishing

86,360원  | 20190226  | 9786139456574

This book is meant for a wide range of graduate students, who wishes to learn the basic concepts of Genetic Algorithms. It can also be meant for programmers, researchers and experts whose work is based on optimization techniques. The basic concepts of Genetic Algorithms are dealt in detail with the relevant information and knowledge available for understanding the optimization process. The various operators involved for Genetic Algorithm operation are explained.

 | Springer Nature B.V.

73,480원  | 20130505  | 9781475778175

Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory is a survey of some important theoretical contributions, many of which have been proposed and developed in the Foundations of Genetic Algorithms series of workshops. However, this theoretical work is still rather fragmented, and the authors believe that it is the right time to provide the field with a systematic presentation of the current state of theory in the form of a set of theoretical perspectives.

 | Orange Education Pvt Ltd

82,590원  | 20250922  | 9789349888333

Harness Genetic Algorithms to Build the Next Generation of Adaptive AI.Key Features● Step-by-step tutorials on Genetic Algorithms, using PyGAD and DEAP.● Real-world Genetic Algorithm applications in ML, DL, NLP, CV, and RL.● Advanced coverage of evolutionary and metaheuristic algorithms.● Integration of Genetic Algorithms with generative and agent-based AI systems.

 | KS OmniScriptum Publishing

91,870원  | 20250422  | 9786208443634

Today, the need for proper planning is clear in order to correctly estimate the time and cost of the project and the amount of resources needed in a project, which have a direct impact on the implementation, administration and proper exploitation of projects such as dam and climate. In general, the management and planning of activities and resources required in a project requires various analyses, one of which is modeling and correctly predicting the cost and time of the project.

 | Clinton Sheppard

55,060원  | 20180211  | 9781732029804

Get a hands-on introduction to machine learning with genetic algorithms using Python. Genetic algorithms are one of the tools you can use to apply machine learning to finding good, sometimes even optimal, solutions to problems that have billions of potential solutions. This book gives you experience making genetic algorithms work for you, using easy-to-follow example projects that you can fall back upon when learning to use other machine learning tools and techniques.

 | KS OmniScriptum Publishing

71,660원  | 20250329  | 9786208792572

Due to their dynamic nature, constant control of water supply systems has become essential for companies. Nowadays, with the advent of computing, tools such as hydraulic modelling have become an important source of support for managers in their decision-making and agility in solving problems. However, hydraulic models can only be considered a reliable tool after undergoing a calibration process.

 | World Scientific Publishing Co Pte Ltd

90,030원  | 19910101  | 9789810202170

Classical optimization methodologies fall short in very large and complex domains. In this book is suggested a different approach to optimization, an approach which is based on the 'blind' and heuristic mechanisms of evolution and population genetics. The genetic approach to optimization introduces a new philosophy to optimization in general, but particularly to engineering.

Eyal Wirsansky  | Packt Publishing

35,000원  | 20200301  | 9781838557744

Using this book, you will gain expertise in genetic algorithms, understand how they work and know when and how to use them to create intelligent Python-based applications. By the end of this book, you will have hands-on experience applying genetic algorithms to artificial intelligence as well as numerous other domains.

Michell, Melanie  | Bradford Book

82,680원  | 19980206  | 9780262631853

Genetic algorithms are used in science and engineering for problem solving and as computational models. This brief introduction enables readers to implement and experiment with genetic algorithms on their own. The descriptions of applications and ...

 | Psychology Press

267,300원  | 20170802  | 9781138414198

First Published in 1987. This is the collected proceedings of the second International Conference on Genetic Algorithms held at the Massachusetts Institute of Technology, Cambridge, MA on the 28th to the 31st July 1987. With papers on Genetic search theory, Adaptive search operators, representation issues, connectionism and parallelism, credit assignment ad learning, and applications.

 | CRC Press

0원  | 19950627  | 9780849325199

The mathematics employed by genetic algorithms (GAs)are among the most exciting discoveries of the last few decades. From the construction of a simple GA through to advanced implementation, the Practical Handbook of Genetic Algorithms stands as a vital source of compiled knowledge from respected experts around the world. But Volume I of this handbook does more than just describe GAs. Almost two hundred figures and numerous tables show how they should look and how they work.

 | Hutson Street Press

62,380원  | 20250522  | 9781025143286

The ability to accurately predict a polypeptide`s molecular structure given its amino acid sequence is important to numerous scientific, medical, and engineering applications. Studies have been conducted in the application of Genetic Algorithms (GAs) to this problem with promising initial results. In this thesis report, we use the fast messy Genetic Algorithm (fmGA) to attempt to find the minimization of an empirical CHARMM energy model and generation of the associated conformation.

 | Hutson Street Press

42,170원  | 20250522  | 9781025147406

The ability to accurately predict a polypeptide`s molecular structure given its amino acid sequence is important to numerous scientific, medical, and engineering applications. Studies have been conducted in the application of Genetic Algorithms (GAs) to this problem with promising initial results. In this thesis report, we use the fast messy Genetic Algorithm (fmGA) to attempt to find the minimization of an empirical CHARMM energy model and generation of the associated conformation.

Fleming, P.  | Stylus Pub Llc

0원  | 19990201  | 9780852969021

Grenfenstett, John J.  | Psychology Press

109,120원  | 19870701  | 9780805801590

First Published in 1987. This is the collected proceedings of the second International Conference on Genetic Algorithms held at the Massachusetts Institute of Technology, Cambridge, MA on the 28th to the 31st July 1987. With papers on Genetic search theory, Adaptive search operators, representation issues, connectionism and parallelism, credit assignment ad learning, and applications.