Handbook of AI-based Metaheuristics (Advances in Metaheuristics)

Computers & Technology

Siarry, Patrick

Kulkarni, Anand J.

Computer Science

CRC-Press

Machine learning and optimization techniques are revolutionizing our world. Other types of information technology have not progressed as rapidly in recent years, in terms of real impact. The aim of this book is to present some of the innovative techniques in the field of optimization and machine learning, and to demonstrate how to apply them in the fields of engineering. Optimization and Machine Learning&nbsp;presents modern advances in the selection, configuration and engineering of algorithms that rely on machine learning and optimization. The first part of the book is dedicated to applications where optimization plays a major role, and the second part describes and implements several applications that are mainly based on machine learning techniques. The methods addressed in these chapters are compared against their competitors, and their effectiveness in their chosen field of application is illustrated.

Optimization and Machine Learning: Optimization for Machine Learning and Machine Learning for Optimization (Sciences: Computer Science; Operational Research and Decision)

Chelouah, Rachid

Wiley-ISTE

During the last decade, artificial ants have experienced rapid development in the research community, mainly for solving optimization problems. This book provides an overview of the situation ant colony algorithms reached. Artificial Ants encompasses solution methods of hard optimization problems and new trends for collective intelligence. Part 1 helps to understand the basis of ant colony algorithms, and to discover a panorama of applications in the field of optimization, particularly in the industrial world. Part 2 deals with broader issues and provides an overview of current research in the field of artificial ants.

Artificial Ants: From Collective Intelligence to Real-life Optimization and Beyond

Monmarché, Nicolas

Guinand, Frédéric

Iste/Hermes Science Pub

Contains case studies from engineering and operations research Includes commented literature for each chapter

Metaheuristics for Hard Optimization: Methods and Case Studies

Business & Money

Dréo, Johann

Pétrowski, Alain

Taillard, Eric

Management & Leadership

Springer

Multiobjective Optimization: Principles and Case Studies (Decision Engineering)

This text offers many multiobjective optimization methods accompanied by analytical examples, and it treats problems not only in engineering but also operations research and management. It explains how to choose the best method to solve a problem and uses three primary application examples: optimization of the numerical simulation of an industrial process; sizing of a telecommunication network; and decision-aid tools for the sorting of bids.

Collette, Yann

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