when close counts a lot — metaheuristics

swarm

Red-billed queleas returns to their communal roost at dusk, Okavango Delta, Botswana.

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Original: BluePortal.org

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METAHEURISTICS: Progress in Complex Systems Optimization

“Springer; 1 edition (August 23, 2007)
“Language: English
“ISBN-10: 0387719199
“ISBN-13: 978-0387719191
“File type : PDF
“Size : 7MB

“Researchers have demonstrated the ability of these methods to solve hard combinatorial problems of practical sizes within reasonable computational time.

“Highlighted … are the recent developments made in the area of Simulated Annealing, Path Relinking [see], Scatter Search, Tabu Search, Variable Neighborhood Search [see], Hyper-heuristics, Constraint Programming, Iterated Local Search, [see, see , see] GRASP, bio-inspired algorithms like Genetic Algorithms, Memetic Algorithms, Ant Colony Optimization or Swarm Intelligence, and several other paradigms.

* * *

“Applications addressed are anticipated to include production planning, machine and project scheduling, the traveling salesman and vehicle routing, packing, knapsack and location problems with layout design, portfolio selection, network-design, health care, energy and environmental planning, data mining, pattern classification [see] and biotechnology, among others.

* * *

“The aim of this book is to provide several different kinds of information: a delineation of general Metaheuristics methods, a number of state-of-the-art articles from a variety of well-known classical application areas as well as an outlook to modern computational methods in promising new areas.” (full article)

Photo credit: Swarm Intelligence Resources

*see life’s heart beat – the steady distribution of solutions to emerging swarms without centralized control

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Newcomb’s commentary: “An ant on the move does more than a dozing ox.” Lao Tzu

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