# Multiobjective Adaptive Wind Driven Optimization

### Zikri Bayraktar, Muge Komurcu

#### Abstract

In this work, we introduce a new nature-inspired multiobjective numerical optimization algorithm where Pareto dominance is incorporated into Adaptive Wind Driven Optimization for handling multiobjective optimization problems and named as Multiobjective Adaptive Wind Driven Optimization (MO-AWDO) method. This new approach utilizes an external repository of air parcels to record the non-dominated Pareto-fronts found at each iteration via the fast non-dominated sorting algorithm, which are then utilized in the velocity update equation of the AWDO for the next iteration. The performance of the MO-AWDO is tested on five different numerical test functions with two objectives and results indicate that the MO-AWDO offers a very competitive approach compared to well-known methods in the published literature even performing better than NSGA-II for ZDT4 test function.

#### References

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#### Paper Citation

#### in Harvard Style

Bayraktar Z. and Komurcu M. (2016). **Multiobjective Adaptive Wind Driven Optimization** . In *Proceedings of the 8th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2016)* ISBN 978-989-758-201-1, pages 115-120. DOI: 10.5220/0006031801150120

#### in Bibtex Style

@conference{ecta16,

author={Zikri Bayraktar and Muge Komurcu},

title={Multiobjective Adaptive Wind Driven Optimization},

booktitle={Proceedings of the 8th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2016)},

year={2016},

pages={115-120},

publisher={SciTePress},

organization={INSTICC},

doi={10.5220/0006031801150120},

isbn={978-989-758-201-1},

}

#### in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2016)

TI - Multiobjective Adaptive Wind Driven Optimization

SN - 978-989-758-201-1

AU - Bayraktar Z.

AU - Komurcu M.

PY - 2016

SP - 115

EP - 120

DO - 10.5220/0006031801150120