Navy cover is lightly bumped at corners otherwise pristine. Boards and spine are straight. Binding is tight. Pages are clean and pristine. Publisher's signed letters laid-in indicating this is an advance review copy. Dust jacket has light shelf rubbing but clean, bright, and very good+. DJ protected by a brand new, clear, acid-free mylar cover. We add mylar covers to all books with DJs to preserve the DJs and add luster to magnify their beauty. (If pictured, shown without the mylar cover for an accurate representation of dust jacket. ) ; World Scientific Robotics And Intelligent Systems.

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Bibliographic Details

Title

OBSTACLE AVOIDANCE IN MULTI-ROBOT SYSTEMS, EXPERIMENTS IN PARALLEL GENETIC ALGORITHMS

Publisher

World Scientific Publishing Company

Publication Date

1998

Language

English

ISBN 10

9810234236

ISBN 13

9789810234232

Binding

Hardcover

Condition

Near Fine

Dust Jacket Condition

Very Good+

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Technology

About this title

Synopsis

Obstacle Avoidance in Multi-robot Systems: Experiments in Parallel Genetic Algorithms offers a novel framework for solving the path planning problem for robot manipulators. Simple and efficient solutions are proposed for the path planning problem based on genetic algorithms. One of the attractive features of genetic algorithms is their ability to solve formidable problems in a robust and straightforward manner. Moreover, genetic algorithms are inherently parallel in nature, which makes them ideal candidates for parallel computing implementations.By combining the robustness of genetic algorithms with the power of parallel computers, this book provides an effective and practical approach to solving path planning problems. The book gives details of implementations that allow a better understanding of the complexities involved in the development of parallel path planning algorithms. The material presented is interdisciplinary in nature -- it combines topics from robotics, genetic algorithms, and parallel processing. The book can be used by practitioners and researchers in computer science and engineering.

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