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Abstract: Simulated annealing and and single trial versions of evolution strategies possess a close relationship when they are designed for optimization over continuous variables. Analytical investigations of their differences and similarities lead to a cross-fertilization of both approaches, resulting in new theoretical results, new parallel population based algorithms, and a better understanding of the interrelationships. Keywords: global optimization, parallel simulated annealing, parallel... (Update)
Context of citations to this paper: More
...algorithm [5] Suzuki [26, 27] analyzed Markov chain models of this algorithm using the analogy with simulated annealing. Rudolph [21], and Mahfoud and Goldberg [18] compared massively parallel simulated annealing and genetic algorithms. Van Nimwegen et al. 19] studied meta...
.... (SA) and single trial versions of ES are closely related in case they are designed for optimization over continuous variables (Rudolph, 1994). Following the definition of Back (1996) the general evolutionary algorithm can be defined as an 8 tuple EA= I# Phi# Omega #...
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4: Evolutionary Computation: Toward a New Philosophy of Machine Intelligence (context) - Fogel - 1995
4: Adaptation in Natural and Artificial Systems (context) - Holland - 1975
4: Optimization by simulated annealing - Kirkpatrick, Gelatt et al. - 1983
BibTeX entry: (Update)
Rudolph, G. (1994). Massively parallel simulated annealing and its relation to evolutionary algorithms. http://citeseer.ist.psu.edu/rudolph94massively.html More
@article{ rudolph93massively,
author = "G{\"u}nter Rudolph",
title = "Massively Parallel Simulated Annealing and its Relation to Evolutionary Algorithms",
journal = "Evolutionary Computation",
volume = "1",
number = "4",
pages = "361--382",
year = "1993",
url = "citeseer.ist.psu.edu/rudolph94massively.html" }
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