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Hybrid Metaheuristics - Second International Workshop, HM 2005, Barcelona, Spain, August 29-30, 2005. Proceedings (Paperback, 2005 ed.)
Maria Jose Blesa Aguilera, Christian Blum, Andrea Roli, Michael Sampels
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R1,577
Discovery Miles 15 770
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Ships in 10 - 15 working days
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Combinatorial optimization and in particular the great variety of
fascinating problemsthatbelong to
thisareahaveattractedmanyresearchersformorethan
halfacentury.Duetothepracticalrelevanceofsolvinghardreal-worldproblems,
much research e?ort has been devoted to the development of
heuristic methods aimed at ?nding good approximate solutions in a
reasonable computation time. Some solution paradigms that are not
speci?c for one particular problem have been deeply studied in the
past, and the term metaheuristic is now common for such
optimization heuristics. Several metaheuristics - simulated
annealing, - netic and evolutionary algorithms, tabu search, ant
colony optimization, scatter search, iterated local search, and
greedy randomized adaptive search procedures
beingsomeofthem-havefoundtheirownresearchcommunities,
andspecialized conferences devoted to such techniques have been
organized. Plenty of classical hard problems, such as the quadratic
assignment pr- lem, the traveling salesman problem, problems in
vehicle routing, scheduling, and timetabling, etc., have been
tackled successfully with metaheuristic - proaches. Several thereof
are currently considered state-of-the-art methods for solving such
problems. However, for many years the main focus of research was on
the application of single metaheuristics to given problems. A
tendency to compare di?erent metaheuristics against each other
could be observed, and sometimes this competition led to thinking
in stereotypes in the research communities
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