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Structural Engineering and Mechanics Volume 52, Number 2, October25 2014 , pages 405-426 DOI: https://doi.org/10.12989/sem.2014.52.2.405 |
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A new hybrid meta-heuristic for structural design: ranked particles optimization |
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A. Kaveh and A. Nasrollahi
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| Abstract | ||
| In this paper, a new meta-heuristic algorithm named Ranked Particles Optimization (RPO), is presented. This algorithm is not inspired from natural or physical phenomena. However, it is based on numerous researches in the field of meta-heuristic optimization algorithms. In this algorithm, like other meta-heuristic algorithms, optimization process starts with by producing a population of random solutions, Particles, located in the feasible search space. In the next step, cost functions corresponding to all random particles are evaluated and some of those having minimum cost functions are stored. These particles are ranked and their weighted average is calculated and named Ranked Center. New solutions are produced by moving each particle along its previous motion, the ranked center, and the best particle found thus far. The robustness of this algorithm is verified by solving some mathematical and structural optimization problems. Simplicity of implementation and reaching to desired solution are two main characteristics of this algorithm. | ||
| Key Words | ||
| meta-heuristic optimization algorithm; Ranked Particles Optimization; RPO; particle; ranked center | ||
| Address | ||
| A. Kaveh and A. Nasrollahi: Centre of Excellence for Fundamental Studies in Structural Engineering, School of Civil Engineering, Iran University of Science and Technology, Narmak, Tehran-16, Iran | ||