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Computer Science - Artificial Intelligence | Design of Modern Heuristics

Design of Modern Heuristics

Principles and Application

Rothlauf, Franz

2011, XI, 267 p.

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  • Author focuses on the users' needs, providing a coherent view on design elements and working principles
  • Suitable for students and practitioners in computer science, operations research and information systems
  • Book written in an easy-to-read style

Most textbooks on modern heuristics provide the reader with detailed descriptions of the functionality of single examples like genetic algorithms, genetic programming, tabu search, simulated annealing, and others, but fail to teach the underlying concepts behind these different approaches.

The author takes a different approach in this textbook by focusing on the users' needs and answering three fundamental questions: First, he tells us which problems modern heuristics are expected to perform well on, and which should be left to traditional optimization methods. Second, he teaches us to systematically design the "right" modern heuristic for a particular problem by providing a coherent view on design elements and working principles. Third, he shows how we can make use of problem-specific knowledge for the design of efficient and effective modern heuristics that solve not only small toy problems but also perform well on large real-world problems.

This book is written in an easy-to-read style and it is aimed at students and practitioners in computer science, operations research and information systems who want to understand modern heuristics and are interested in a guide to their systematic design and use.

Content Level » Research

Keywords » Artificial Intelligence - Automated Programming - Computational Intelligence - Design Principles - Evolutionary Computing - Heuristics - Modern Heuristics - Operations Research - Optimization - Problem-Solving - Search

Related subjects » Artificial Intelligence - Business Information Systems - Computational Intelligence and Complexity - Mathematics

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