✦ LIBER ✦

Combining genetic algorithm and simulated annealing: a molecular geometry optimization study

✍ Scribed by C.R. Zacharias; M.R. Lemes; A. Dal Pino Jr

Book ID: 114143532
Publisher: Elsevier Science
Year: 1998
Tongue: English
Weight: 1019 KB
Volume: 430
Category: Article
ISSN: 0166-1280
DOI: 10.1016/s0166-1280(98)90211-1

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Molecular Geometry Optimization with a G

Molecular Geometry Optimization with a Genetic Algorithm

✍ Deaven, D.; Ho, K. 📂 Article 📅 1995 🏛 The American Physical Society 🌐 English ⚖ 204 KB

FPGA placement optimization by two-step

FPGA placement optimization by two-step unified Genetic Algorithm and Simulated Annealing algorithm

✍ Meng Yang; A. E. A. Almaini; Pengjun Wang 📂 Article 📅 2006 🏛 SP Science Press 🌐 English ⚖ 221 KB

A hybrid genetic-simulated annealing alg

A hybrid genetic-simulated annealing algorithm for optimization of hydraulic manifold blocks

✍ Wan-hui Liu; Shu-jun Tian; Chun-qiang Jia; Yu-Ning Cao 📂 Article 📅 2008 🏛 Chinese Electronic Periodical Services 🌐 English ⚖ 330 KB

Development of a parallel optimization m

Development of a parallel optimization method based on genetic simulated annealing algorithm

✍ Z.G. Wang; Y.S. Wong; M. Rahman 📂 Article 📅 2005 🏛 Elsevier Science 🌐 English ⚖ 725 KB

A hybrid topology optimization methodolo

A hybrid topology optimization methodology combining simulated annealing and SIMP

✍ N.P. Garcia-Lopez; M. Sanchez-Silva; A.L. Medaglia; A. Chateauneuf 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 891 KB

Simulated Annealing and Genetic Algorith

Simulated Annealing and Genetic Algorithms for Optimal Regression Testing

✍ Mansour, Nashat; El-Fakih, Khalid 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 252 KB 👁 2 views

The optimal regression testing problem is one of determining the minimum number of test cases needed for revalidating modified software in the maintenance phase. We present two natural optimization algorithms, namely, a simulated annealing and a genetic algorithm, for solving this problem. The algor