✦ LIBER ✦

Multi-agent knowledge integration mechanism using particle swarm optimization

✍ Scribed by Kun Chang Lee; Namho Lee; Habin Lee

Book ID: 113928456
Publisher: Elsevier Science
Year: 2012
Tongue: English
Weight: 792 KB
Volume: 79
Category: Article
ISSN: 0040-1625
DOI: 10.1016/j.techfore.2011.08.004

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Multi-agent based Patient Scheduling Usi

Multi-agent based Patient Scheduling Using Particle Swarm Optimization

✍ E.Grace Mary Kanaga; M.L. Valarmathi 📂 Article 📅 2012 🏛 Elsevier 🌐 English ⚖ 463 KB

Robust optimization using multi-objectiv

Robust optimization using multi-objective particle swarm optimization

✍ Satoshi Ono; Yohei Yoshitake; Shigeru Nakayama 📂 Article 📅 2009 🏛 Springer Japan 🌐 English ⚖ 402 KB

Distributed scalable multi-robot learnin

Distributed scalable multi-robot learning using particle swarm optimization

✍ Jim Pugh; Alcherio Martinoli 📂 Article 📅 2009 🏛 Springer US 🌐 English ⚖ 510 KB

Optimization of multi-pass turning using

Optimization of multi-pass turning using particle swarm intelligence

✍ J. Srinivas; R. Giri; Seung-Han Yang 📂 Article 📅 2007 🏛 Springer 🌐 English ⚖ 236 KB

Microwave absorber optimal design using

Microwave absorber optimal design using multi-objective particle swarm optimization

✍ S. K. Goudos; J. N. Sahalos 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 542 KB

A multi-objective optimal power flow usi

A multi-objective optimal power flow using particle swarm optimization

✍ J. Hazra; A. K. Sinha 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 301 KB 👁 1 views

This paper presents a multi-objective optimal power flow technique using particle swarm optimization. Two conflicting objectives, generation cost, and environmental pollution are minimized simultaneously. A multiobjective particle swarm optimization method is used to solve this highly nonlinear and