✦ LIBER ✦

Optimality conditions and algorithms for parameter design problems with two-level structure

✍ Scribed by K. Shimizu; Yo Ishizuka

Book ID: 126624186
Publisher: IEEE
Year: 1985
Tongue: English
Weight: 682 KB
Volume: 30
Category: Article
ISSN: 0018-9286
DOI: 10.1109/TAC.1985.1103803

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Three-level optimization algorithm for n

Three-level optimization algorithm for nonconvex problems with block angular structures

✍ Masatoshi Sakawa; Regular Member 📂 Article 📅 1982 🏛 John Wiley and Sons 🌐 English ⚖ 567 KB

Two-level decomposition algorithm for cr

Two-level decomposition algorithm for crew rostering problems with fair working condition

✍ Nishi, Tatsushi; Sugiyama, Taichi; Inuiguchi, Masahiro 📂 Article 📅 2014 🏛 Elsevier Science 🌐 English ⚖ 399 KB

Optimality Conditions for Quasi-Differen

Optimality Conditions for Quasi-Differentiable Programs with Application to Two-Level Optimization

✍ Ishizuka, Yo 📂 Article 📅 1988 🏛 Society for Industrial and Applied Mathematics 🌐 English ⚖ 898 KB

Multi-level design model and genetic alg

Multi-level design model and genetic algorithm for structural control system optimization

✍ Q. S. Li; D. K. Liu; N. Zhang; C. M. Tam; L. F. Yang 📂 Article 📅 2001 🏛 John Wiley and Sons 🌐 English ⚖ 162 KB

A two-level delimitative and combinatori

A two-level delimitative and combinatorial algorithm for discrete optimization of structures

✍ S. Chai; H. C. Sun 📂 Article 📅 1997 🏛 Springer-Verlag 🌐 English ⚖ 640 KB

Interactive fuzzy programming for two-le

Interactive fuzzy programming for two-level 0-1 programming problems with fuzzy parameters through genetic algorithms

✍ Masatoshi Sakawa; Ichiro Nishizaki; Masatoshi Hitaka 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 315 KB 👁 1 views

In this paper, an interactive fuzzy programming method using genetic algorithms has been proposed for two-level 0-1 programming problems with fuzzy parameters. According to the proposed technique, the decision maker in each level establishes his fuzzy goals related to the objective functions, using