✦ LIBER ✦

Swarm intelligence and gravitational search algorithm for multi-objective optimization of synthesis gas production

✍ Scribed by T. Ganesan; I. Elamvazuthi; Ku Zilati Ku Shaari; P. Vasant

Book ID: 119191345
Publisher: Elsevier Science
Year: 2013
Tongue: English
Weight: 566 KB
Volume: 103
Category: Article
ISSN: 0306-2619
DOI: 10.1016/j.apenergy.2012.09.059

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Optimization of hybrid laminated composi

Optimization of hybrid laminated composites using the multi-objective gravitational search algorithm (MOGSA)

✍ Hemmatian, Hossein; Fereidoon, Abdolhossein; Assareh, Ehsanolah 📂 Article 📅 2013 🏛 Taylor and Francis Group 🌐 English ⚖ 332 KB

Multi-objective particle swarm and genet

Multi-objective particle swarm and genetic algorithm for the optimization of the LANSCE linac operation

✍ Pang, X.; Rybarcyk, L.J. 📂 Article 📅 2014 🏛 Elsevier Science 🌐 English ⚖ 879 KB

[Lecture Notes in Computer Science] Adva

[Lecture Notes in Computer Science] Advances in Swarm Intelligence Volume 7929 || Hybrid Gravitational Search and Clonal Selection Algorithm for Global Optimization

✍ Tan, Ying; Shi, Yuhui; Mo, Hongwei 📂 Article 📅 2013 🏛 Springer Berlin Heidelberg 🌐 English ⚖ 819 KB

This book and its companion volume, LNCS vols. 7928 and 7929 constitute the proceedings of the 4th International Conference on Swarm Intelligence, ICSI 2013, held in Harbin, China in June 2013. The 129 revised full papers presented were carefully reviewed and selected from 268 submissions. The paper

A new optimization algorithm based on a

A new optimization algorithm based on a combination of particle swarm optimization, convergence and divergence operators for single-objective and multi-objective problems

✍ Mahmoodabadi, M. J.; Bagheri, A.; Nariman-zadeh, N.; Jamali, A. 📂 Article 📅 2012 🏛 Taylor and Francis Group 🌐 English ⚖ 522 KB

Enhanced gravitational search algorithm

Enhanced gravitational search algorithm for multi-objective distribution feeder reconfiguration considering reliability, loss and operational cost

✍ Azizipanah-Abarghooee, Rasoul; Javidsharifi, Mahshid; Narimani, Mohammad Rasoul; 📂 Article 📅 2014 🏛 The Institution of Engineering and Technology 🌐 English ⚖ 711 KB

[Adaptation, Learning, and Optimization]

[Adaptation, Learning, and Optimization] Handbook of Swarm Intelligence Volume 8 || A Multi-objective Resource Assignment Problem in Product Driven Supply Chain Using Quantum Inspired Particle Swarm Algorithm

✍ Panigrahi, Bijaya Ketan; Shi, Yuhui; Lim, Meng-Hiot 📂 Article 📅 2011 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 337 KB

From nature, we observe swarming behavior in the form of ant colonies, bird flocking, animal herding, honey bees, swarming of bacteria, and many more. It is only in recent years that researchers have taken notice of such natural swarming systems as culmination of some form of innate collective inte