Simulated annealing

Known as: Simulated annealling, Generalized simulated annealing, Simulated anealing 
Simulated annealing (SA) is a probabilistic technique for approximating the global optimum of a given function. Specifically, it is a metaheuristic… (More)
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Topic mentions per year

Topic mentions per year

1975-2017
020040060019752017

Papers overview

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Highly Cited
1996
Highly Cited
1996
Adaptive simulated annealing (ASA) is a global optimization algorithm based on an associated proof that the parameter space can… (More)
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Highly Cited
1996
Highly Cited
1996
The paradigm of simulated annealing is applied to the problem of drawing graphs “nicely.” Our algorithm deals with… (More)
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Highly Cited
1993
Highly Cited
1993
Simulated annealing (SA) presents an optimization technique with several striking positive and negative features. Perhaps its… (More)
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Highly Cited
1993
Highly Cited
1993
We introduce a meta-heuristic to combine simulated annealing with local search methods for CO problems. This new class of Markov… (More)
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Highly Cited
1991
Highly Cited
1991
In this paper we are concerned with global optimization, which can be defined as the problem of finding points on a bounded… (More)
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Highly Cited
1991
Highly Cited
1991
In this paper we discuss the solution of the clustering problem usually solved by the K-means algorithm. The problem is known to… (More)
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Highly Cited
1990
Highly Cited
1990
Many statistical methods rely on numerical optimization to estimate a model’s parameters. Unfortunately, conventional algorithms… (More)
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Highly Cited
1990
Highly Cited
1990
By reading, you can know the knowledge and things more, not only about what you get from people to people. Book will be more… (More)
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Highly Cited
1987
Highly Cited
1987
Recent advances in the solution of nonconvex optimization problems use simulated annealing techniques that are considerably… (More)
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Highly Cited
1985
Highly Cited
1985
Simulated Annealing is a randomized algorithm which has been proposed for finding globally optimum least-cost configurations in… (More)
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