A genetic algorithm for the structural optimization of Morse clusters

Roberts, Chris; Johnston, Roy L.; Wilson, Nicholas T.

doi:10.1007/s002140000117

Cited by 129 publications

(41 citation statements)

References 3 publications

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“…The standard evolutionary operators (mating, mutation and natural selection) are then applied to the population, where the parents are selected for mating [31,32] with some variant of the roulette-wheel method [32] to provide new offspring.…”

Section: Methodsmentioning

confidence: 99%

Growth analysis of sodium-potassium alloy clusters from 7 to 55 atoms through a genetic algorithm approach

2014

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The potential energy hypersurface associated with sodium-potassium alloy clusters is explored via an enhanced genetic algorithm, where two different operators are added to the standard evolutionary procedure. Based on the recent result that the empirical Gupta many-body potential yields reasonable results for clusters with more than seven atoms, we have employed this function in the evaluation of the energies. Agglomerates from seven to the well-established 55-atom structure are studied, and their second-order energy difference and excess energies are calculated. It is found that the most stable alloys (compared to the homonuclear counterparts) are found with the proportion of sodium atoms in the range of 30 to 40%. The experimental propensity of core-shell segregation is successfully predicted by the current approach.

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Section: Methodsmentioning

confidence: 99%

Growth analysis of sodium-potassium alloy clusters from 7 to 55 atoms through a genetic algorithm approach

2014

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“…It therefore ensures that each parent contributes with particles that are close together, meaning that they will likely have a low potential energy level. This feature increases the likelihood of mixing useful blocks of genes and is regarded as beneficial to the evolutionary process [36,67]. The efficiency of this operator may be increased by using knowledge of the geometry of each individual to determine the position of the cutting planes [35].…”

Section: Related Workmentioning

confidence: 99%

“…They report finding all but 12 putative optima in clusters ranging up to 80 atoms. Roberts et al [67] were the first to suggest using an EA on this problem. Their approach combined a real-valued representation [85] with a Cut and Splice crossover operator [20] and Lamarckian local optimization [20].…”

Section: Related Workmentioning

confidence: 99%

Island models for cluster geometry optimization: how design options impact effectiveness and diversity

2015

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Designing island models is a challenging task for researchers. A number of decisions is required regarding the structure of the islands, how they are connected, how many individuals are migrated, which ones and how often. The impact of these choices is yet to be fully understood, specially since it may change between different problems and contexts. Cluster geometry optimization is a widely known and complex problem that provides a set of hard instances to assess and test optimization algorithms. The analysis presented in this paper reveals how design options for island models impact search effectiveness and population diversity, when seeking for the global optima of short-ranged Morse clusters. These outcomes support the definition of a robust and scalable island-based framework for cluster geometry optimization problems.

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“…Each string represents a trial solution of the problem. The GA operators exchange information between the strings to evolve new and better solutions [19]. Because the structure of magnetic-gratinglike stroke-sensing cylinder determines the working performance, this paper takes GA as the optimization model for variable design.…”

Section: Journal Of Sensorsmentioning

confidence: 99%

Optimization of Magnetic-Grating-Like Stroke-Sensing Cylinder Based on Response Quality Evaluation Algorithm

Guo

Liu

et al. 2018

Journal of Sensors

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The measurement of hydraulic cylinder displacement has been addressed from different fields. The detection principle of magnetic grating is able to realize the high integration and accuracy. In this paper, a signal response quality evaluation algorithm for devising and optimizing a high-accuracy displacement measuring system is proposed. On the basic of signal response quality evaluation method, structure variables are optimized to enhance the working performance. By defining the parameters, an optimum structure cylinder prototype is made and tested to provide better estimates. Experimental results on working characteristic are presented to verify the effectiveness of the optimized structure. The efficiency of the proposed signal response quality evaluation function is therefore demonstrated through the working performance.

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A genetic algorithm for the structural optimization of Morse clusters

Cited by 129 publications

References 3 publications

Growth analysis of sodium-potassium alloy clusters from 7 to 55 atoms through a genetic algorithm approach

Growth analysis of sodium-potassium alloy clusters from 7 to 55 atoms through a genetic algorithm approach

Island models for cluster geometry optimization: how design options impact effectiveness and diversity

Optimization of Magnetic-Grating-Like Stroke-Sensing Cylinder Based on Response Quality Evaluation Algorithm

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