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Multi-robot Box-Pushing Using Differential Evolution Algorithm for Multiobjective Optimization

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Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 130))

Abstract

The paper provides a new approach to multi-robot box pushing using a proposed Differential evolution for multiobjective optimization (DEMO) algorithm. The proposed scheme determines time-, energy- and friction sensitive-optimal solution to the box-pushing problem. The performance of the developed DEMO algorithm is compared to NSGA-II in connection with the given problem and the experimental results reveal that the DEMO outperforms NSGA-II in all the experimental set-ups.

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Correspondence to Pratyusha Rakshit .

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Rakshit, P., Sadhu, A.K., Halder, A., Konar, A., Janarthanan, R. (2012). Multi-robot Box-Pushing Using Differential Evolution Algorithm for Multiobjective Optimization. In: Deep, K., Nagar, A., Pant, M., Bansal, J. (eds) Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011. Advances in Intelligent and Soft Computing, vol 130. Springer, India. https://doi.org/10.1007/978-81-322-0487-9_34

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  • DOI: https://doi.org/10.1007/978-81-322-0487-9_34

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  • Publisher Name: Springer, India

  • Print ISBN: 978-81-322-0486-2

  • Online ISBN: 978-81-322-0487-9

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