On the limited memory BFGS method for large scale optimization
Mathematical Programming: Series A and B
Application of stochastic global optimization algorithms to practical problems
Journal of Optimization Theory and Applications
Fast Global Optimization of Difficult Lennard-Jones Clusters
Computational Optimization and Applications
Journal of Global Optimization
Population set-based global optimization algorithms: some modifications and numerical studies
Computers and Operations Research
Evolve Individual Agent Strategies to Global Social Law by Hierarchical Immediate Diffusion
Massively Multi-Agent Technology
Journal of Global Optimization
A review of recent advances in global optimization
Journal of Global Optimization
A new genetic algorithm for solving optimization problems
Engineering Applications of Artificial Intelligence
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In this paper we propose an algorithm for the minimization of potential energy functions. The new algorithm is based on the differential evolution algorithm of Storn and Price (Journal of Global Optimization, vol. 11, pp. 341--359, 1997). The algorithm is tested on two different potential energy functions. The first function is the Lennard Jones energy function and the second function is the many-body potential energy function of Tersoff (Physics Review B, vol. 37, pp. 6991--7000, 1988; vol. 38, pp. 9902--9905, 1988). The first problem is a pair potential and the second problem is a semi-empirical many-body potential energy function considered for silicon-silicon atomic interactions. The minimum binding energies of up to 30 atoms are reported.