𝔖 Bobbio Scriptorium
✦   LIBER   ✦

The Hopfield neural network applied to the Quadratic Assignment Problem

✍ Scribed by C. Bousoño-Calzón; M. R. W. Manning

Publisher
Springer-Verlag
Year
1995
Tongue
English
Weight
634 KB
Volume
3
Category
Article
ISSN
0941-0643

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Solving inequality constrained combinato
Solving inequality constrained combinatorial optimization problems by the hopfield neural networks
✍ Shigeo Abe; Junzo Kawakami; Kotaroo Hirasawa 📂 Article 📅 1992 🏛 Elsevier Science 🌐 English ⚖ 543 KB

The Hop.fteld neural networks are ~:~tended to handle inequality constraints where linear combinations of variables are lower-or upper-bounded. Then b)' eigenvahw analysis, the effects q/'the inequality constraints are analyzed and the lbllowing results are obtained" (a) f a combinatorial solution o

Benders' partitioning scheme applied to
Benders' partitioning scheme applied to a new formulation of the quadratic assignment problem
✍ Mokhtar S. Bazaraa; Hanif D. Sherali 📂 Article 📅 1980 🏛 John Wiley and Sons 🌐 English ⚖ 757 KB

## Abstract In this paper we present a new formulation of the quadratic assignment problem. This is done by transforming the quadratic objective function into a linear objective function by introducing a number of new variables and constraints. The resulting problem is a 0‐1 linear integer program