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Can I read Grouping Genetic Algorithms: Advances And Applications (studies In Computational Intelligence) on EtoBox?
Grouping Genetic Algorithms: Advances And Applications (studies In Computational Intelligence) by Michael Mutingi, Charles Mbohwa (auth.) is a nonfiction available to read on EtoBox.
What is Grouping Genetic Algorithms: Advances And Applications (studies In Computational Intelligence) about?
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
Who reads Grouping Genetic Algorithms: Advances And Applications (studies In Computational Intelligence)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Michael Mutingi, Charles Mbohwa (auth.)
- Publisher
- Springer International Publishing Imprint : Springer
- Published
- 2017
- Language
- EN
- ISBN
- 9783319443942
- Category
- nonfiction
- Subjects
- Business, Science, Engineering
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