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Scatter Search - Methodology and Implementations in C (Paperback, 2003 ed.)
Loot Price: R4,446
Discovery Miles 44 460
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Scatter Search - Methodology and Implementations in C (Paperback, 2003 ed.)
Series: Operations Research/Computer Science Interfaces Series, 24
Expected to ship within 10 - 15 working days
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The book Scatter Search by Manuel Laguna and Rafael Marti
represents a long-awaited "missing link" in the literature of
evolutionary methods. Scatter Search (SS)-together with its
generalized form called Path Relinking-constitutes the only
evolutionary approach that embraces a collection of principles from
Tabu Search (TS), an approach popularly regarded to be divorced
from evolutionary procedures. The TS perspective, which is
responsible for introducing adaptive memory strategies into the
metaheuristic literature (at purposeful level beyond simple
inheritance mechanisms), may at first seem to be at odds with
population-based approaches. Yet this perspective equips SS with a
remarkably effective foundation for solving a wide range of
practical problems. The successes documented by Scatter Search come
not so much from the adoption of adaptive memory in the range of
ways proposed in Tabu Search (except where, as often happens, SS is
advantageously coupled with TS), but from the use of strategic
ideas initially proposed for exploiting adaptive memory, which
blend harmoniously with the structure of Scatter Search. From a
historical perspective, the dedicated use of heuristic strategies
both to guide the process of combining solutions and to enhance the
quality of offspring has been heralded as a key innovation in
evolutionary methods, giving rise to what are sometimes called
"hybrid" (or "memetic") evolutionary procedures. The underlying
processes have been introduced into the mainstream of evolutionary
methods (such as genetic algorithms, for example) by a series of
gradual steps beginning in the late 1980s.
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