Simulated Annealing

Aarts, Ehl Emile; Horn, P. van der; Korst, Jan; Michiels, Wil; Sontrop, H.

doi:10.1007/0-387-33416-5_2

Cited by 10 publications

(2 citation statements)

References 9 publications

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“…This method uses a non-population search strategy that is different from the general swarm-type intelligence optimization algorithms, such as the GA, [23][24][25][26] particle swarm optimization algorithm, [27][28][29] and simulated annealing algorithm. 30,31 This search strategy significantly simplifies the search process and improves the computational efficiency of the design process. In addition, the SRA adopts a unique new acceptance criterion: whether or not the new solution is superior to the current optimal solution, the new solution is always accepted by this algorithm, thus the acceptance criterion can increase differences among individuals, which can improve the global convergence of the algorithm.…”

Section: Sramentioning

confidence: 99%

Robust optimization design of structures based on the specular reflection algorithm

Dong

Xin

2019

Advances in Mechanical Engineering

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The nominal values of structural design parameters are usually calculated using a traditional deterministic optimization design method. However, owing to the failure of this type of method to consider potential variations in design parameters, the theoretical design results can be far from reality. To address this problem, the specular reflection algorithm, a recent advancement in intelligence optimization, is used in conjunction with a robust design method based on sensitivity. This method not only is able to fully consider the influence of parameter uncertainty on the design results but also has strong applicability. The effectiveness of the proposed method is verified by numerical examples, and the results show that the robust design method can significantly improve the reliability of the structure.

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Section: Sramentioning

confidence: 99%

Robust optimization design of structures based on the specular reflection algorithm

Dong

Xin

2019

Advances in Mechanical Engineering

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“…The problem is that left to the pull of gravity, the ball will settle in an occasional shallow dent and arrive at a sub-optimal solution. However, if the ball is bombarded by spontaneous noise, it will dislodge from the shallow dent and keep rolling until it arrives at the deepest well from which the noise cannot extricate it [see, e.g., Aarts et al (2006) ].…”

Section: Introductionmentioning

confidence: 99%

The neuronal basis of human creativity

Malach

2024

Front. Hum. Neurosci.

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Human creativity is a powerful cognitive ability underlying all uniquely human cultural and scientific advancement. However, the neuronal basis of this creative ability is unknown. Here, I propose that slow, spontaneous fluctuations in neuronal activity, also known as “resting state” fluctuations, constitute a universal mechanism underlying all facets of human creativity. Support for this hypothesis is derived from experiments that directly link spontaneous fluctuations and verbal creativity. Recent experimental and modeling advances in our understanding of the spontaneous fluctuations offer an explanation for the diversity and innovative nature of creativity, which is derived from a unique integration of random, neuronal noise on the one hand with individually specified, deterministic information acquired through learning, expertise training, and hereditary traits. This integration between stochasticity and order leads to a process that offers, on the one hand, original, unexpected outcomes but, on the other hand, endows these outcomes with knowledge-based meaning and significance.

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