An algorithmic framework for multiobjective optimization
Multiobjective (MO) optimization is an emerging field which is increasingly being encountered in many fields globally. Various metaheuristic techniques such as differential evolution (DE), genetic algorithm (GA), gravitational search algorithm (GSA), and particle swarm optimization (PSO) have been u...
| Main Authors: | Ganesan, T., Elamvazuthi, I., Shaari, K.Z.K., Vasant, P. |
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| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.32901 / |
| Published: |
ScientificWorld Ltd.
2013
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84896332898&doi=10.1155%2f2013%2f859701&partnerID=40&md5=5fd7579c53644b6d2d6a1021b2916a18 http://eprints.utp.edu.my/32901/ |
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