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Hybrid Metaheuristics - Powerful Tools for Optimization (Paperback, Softcover reprint of the original 1st ed. 2016)
Loot Price: R4,064
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Hybrid Metaheuristics - Powerful Tools for Optimization (Paperback, Softcover reprint of the original 1st ed. 2016)
Series: Artificial Intelligence: Foundations, Theory, and Algorithms
Expected to ship within 10 - 15 working days
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This book explains the most prominent and some promising new,
general techniques that combine metaheuristics with other
optimization methods. A first introductory chapter reviews the
basic principles of local search, prominent metaheuristics, and
tree search, dynamic programming, mixed integer linear programming,
and constraint programming for combinatorial optimization purposes.
The chapters that follow present five generally applicable
hybridization strategies, with exemplary case studies on selected
problems: incomplete solution representations and decoders; problem
instance reduction; large neighborhood search; parallel
non-independent construction of solutions within metaheuristics;
and hybridization based on complete solution archives. The authors
are among the leading researchers in the hybridization of
metaheuristics with other techniques for optimization, and their
work reflects the broad shift to problem-oriented rather than
algorithm-oriented approaches, enabling faster and more effective
implementation in real-life applications. This hybridization is not
restricted to different variants of metaheuristics but includes,
for example, the combination of mathematical programming, dynamic
programming, or constraint programming with metaheuristics,
reflecting cross-fertilization in fields such as optimization,
algorithmics, mathematical modeling, operations research,
statistics, and simulation. The book is a valuable introduction and
reference for researchers and graduate students in these domains.
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