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Grouping Genetic Algorithms - Advances and Applications (Hardcover, 1st ed. 2017)
Loot Price: R4,487
Discovery Miles 44 870
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Grouping Genetic Algorithms - Advances and Applications (Hardcover, 1st ed. 2017)
Series: Studies in Computational Intelligence, 666
Expected to ship within 12 - 17 working days
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This book presents advances and innovations in grouping genetic
algorithms, enriched with new and unique heuristic optimization
techniques. These algorithms are specially designed for solving
industrial grouping problems where system entities are to be
partitioned or clustered into efficient groups according to a set
of guiding decision criteria. Examples of such problems are:
vehicle routing problems, team formation problems, timetabling
problems, assembly line balancing, group maintenance planning,
modular design, and task assignment. A wide range of industrial
grouping problems, drawn from diverse fields such as logistics,
supply chain management, project management, manufacturing systems,
engineering design and healthcare, are presented. Typical complex
industrial grouping problems, with multiple decision criteria and
constraints, are clearly described using illustrative diagrams and
formulations. The problems are mapped into a common group structure
that can conveniently be used as an input scheme to specific
variants of grouping genetic algorithms. Unique heuristic grouping
techniques are developed to handle grouping problems efficiently
and effectively. Illustrative examples and computational results
are presented in tables and graphs to demonstrate the efficiency
and effectiveness of the algorithms. Researchers, decision
analysts, software developers, and graduate students from various
disciplines will find this in-depth reader-friendly exposition of
advances and applications of grouping genetic algorithms an
interesting, informative and valuable resource.
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