A Hybrid Meta-Heuristic Algorithm for High Performance Computing

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Mahdipour Elham; GHASEMZADEH MOHAMMAD

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Journal Paper

Paper Information

Journal: Tabriz Journal of Electrical Engineering Year:2021 | Volume:51 | Issue:1 (95) Page(s): 97-107

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Information Journal Paper

Title

A Hybrid Meta-Heuristic Algorithm for High Performance Computing

Author(s)

Mahdipour Elham | GHASEMZADEH MOHAMMAD | Issue Writer Certificate

Keywords

Cat swarm optimization

Convergence rate

Shuffled frog leaping algorithm

Swarm intelligence

Abstract

Regarding optimization problems, there is a high demand for high-performance algorithms that can process the problem solution-space efficiently and find the best ones quite quickly. An approach to get this target is based on using Swarm intelligence algorithms; these algorithms apply a population of simple agents to communicate locally with one another and with their surroundings. In this paper, we propose a novel approach based on combining the characteristics of the two algorithms: Cat swarm optimization (CSO) and the Shuffled frog leaping algorithm (SFLA). The experimental results show the convergence ratio of our hybrid SFLA-CSO algorithm is seven times higher than that of CSO and five times higher than the convergence ratio of the standard SFLA algorithm. The obtained results also revealed that the hybrid method speeds up the convergence significantly, and reduces the error rate. We compared the proposed hybrid algorithm against the famous relevant algorithms PSO, ACO, ABC, GA, and SA; the results are valuable and promising.

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APA: Copy

Mahdipour, Elham, & GHASEMZADEH, MOHAMMAD. (2021). A Hybrid Meta-Heuristic Algorithm for High Performance Computing. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, 51(1 (95)), 97-107. SID. https://sid.ir/paper/981521/en

Vancouver: Copy

Mahdipour Elham, GHASEMZADEH MOHAMMAD. A Hybrid Meta-Heuristic Algorithm for High Performance Computing. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2021;51(1 (95)):97-107. Available from: https://sid.ir/paper/981521/en

IEEE: Copy

Elham Mahdipour, and MOHAMMAD GHASEMZADEH, “A Hybrid Meta-Heuristic Algorithm for High Performance Computing,” TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, vol. 51, no. 1 (95), pp. 97–107, 2021, [Online]. Available: https://sid.ir/paper/981521/en

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