A NEW APPROACH OF BACKBONE TOPOLOGY DESIGN USED BY COMBINATION OF GA AND PSO ALGORITHMS

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AMINI AZAR WAHAB; PARVARI ESMAEIL; AKBARI MAJD ADEL; ABBASI LAYEGH MAHMOOD

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Journal Paper

Paper Information

Journal: JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING Year:2013 | Volume:1 | Issue:4 Page(s): 51-58

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Title

A NEW APPROACH OF BACKBONE TOPOLOGY DESIGN USED BY COMBINATION OF GA AND PSO ALGORITHMS

Author(s)

AMINI AZAR WAHAB | PARVARI ESMAEIL | AKBARI MAJD ADEL | ABBASI LAYEGH MAHMOOD | Issue Writer Certificate

Keywords

BACKBONE

COST

GENETIC ALGORITHM

NETWORK TOPOLOGY DESIGN

PSO ALGORITHM

SWARM INTELLIGENCE

Abstract

A number of algorithms based on the evolutionary processing have been proposed for communication networks BACKBONE such as GENETIC ALGORITHM (GA). However, there has been little work on the SWARM optimization algorithms such as Particle Swarm Optimization (PSO) for BACKBONE topology design. In this paper, the performance of PSO on GA is discussed and a new algorithm as PSOGA is proposed for the NETWORK TOPOLOGY DESIGN. The simulations for specific examples show that the performance of the new algorithm is better than other common methods.

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References

REDUCING BIAS AND NEFFICIENCY IN THE SELECTION ALGORITHM, GENETIC ALGORITHMS AND APPLICATIONS

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APA: Copy

AMINI AZAR, WAHAB, PARVARI, ESMAEIL, AKBARI MAJD, ADEL, & ABBASI LAYEGH, MAHMOOD. (2013). A NEW APPROACH OF BACKBONE TOPOLOGY DESIGN USED BY COMBINATION OF GA AND PSO ALGORITHMS. JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING, 1(4), 51-58. SID. https://sid.ir/paper/333787/en

Vancouver: Copy

AMINI AZAR WAHAB, PARVARI ESMAEIL, AKBARI MAJD ADEL, ABBASI LAYEGH MAHMOOD. A NEW APPROACH OF BACKBONE TOPOLOGY DESIGN USED BY COMBINATION OF GA AND PSO ALGORITHMS. JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING[Internet]. 2013;1(4):51-58. Available from: https://sid.ir/paper/333787/en

IEEE: Copy

WAHAB AMINI AZAR, ESMAEIL PARVARI, ADEL AKBARI MAJD, and MAHMOOD ABBASI LAYEGH, “A NEW APPROACH OF BACKBONE TOPOLOGY DESIGN USED BY COMBINATION OF GA AND PSO ALGORITHMS,” JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING, vol. 1, no. 4, pp. 51–58, 2013, [Online]. Available: https://sid.ir/paper/333787/en

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