Numerical solution of the Schrödinger equation by a microgenetic algorithm

H. Nakanishi, M. Sugawara

研究成果: Article査読

37 被引用数 (Scopus)

抄録

A new approach for solving the Schrödinger equation based on a microgenetic algorithm (μ-GA) is presented. Feed forward neural network is used to represent the solution, while random point evaluation method (RPEM) is introduced to define the fitness score to be maximized in the μ-GA breeding procedure. Convergence of the final stage of searching is accelerated by invoking the deterministic optimizer. The algorithm is tested in the calculation of one-dimensional harmonic oscillator and double-well potential systems.

本文言語English
ページ(範囲)429-438
ページ数10
ジャーナルChemical Physics Letters
327
5-6
DOI
出版ステータスPublished - 2000 9 15

ASJC Scopus subject areas

  • 物理学および天文学(全般)
  • 物理化学および理論化学

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