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A proposal for distributed interactive differential evolution: in a case of creating sign sounds for multiple users

Authors:

Makoto Fukumoto,

Kota NomuraAuthors Info & Claims

GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference Companion

Pages 125 - 126

https://doi.org/10.1145/3205651.3205690

Published: 06 July 2018 Publication History

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Abstract

Interactive Evolutionary Computation (IEC) is used for creating media contents suited to each user's feelings. To obtain media contents commonly suited to multiple users, distributed approach was employed in previous IECs based on Genetic Algorithm. This study proposes Distributed Interactive Differential Evolution (DIDE) by employing Differential Evolution (DE). Based on each user's subjective selection and scoring with Interactive DE, DIDE exchanges good solutions between users. Through the exchange, it is expected that the good solution for all users is obtained. A fundamental experiment was conducted with a simple DIDE system creating sign sounds for two users. Distance between DE vectors obtained by two users and fitness values were investigated.

References

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M. Miki et al. 2006. Global Asynchronous Distributed Interactive Genetic Algorithm. In Proc. of IEEE Int. Conf. SMC2006. 3481--3485.

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M. Fukumoto. 2015. An Efficiency of Interactive Differential Evolution for Optimization of Warning Sound with Reflecting Individual Preference. IEEJ Transactions on Electrical and Electronic Engineering 10, S1 (2015), S77--S82.

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R. Storn and K. V. Price. 1995. Differential evolution -A simple and efficient adaptive scheme for global optimization over continuous spaces. Technical Report TR-95--012. Institute of Company Secretaries of India.

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R. Tanase. 1989. Distributed Genetic Algorithms. In Proc. of the 3rd Int. Conf. on Genetic Algorithms. 434--439.

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J. Vesterstrom and R. Thomson. 2004. A comparative study of differential evolution, particle swarm optimization, and evolutionary algorithms on numerical benchmark problems. In Proc. IEEE CEC2014. 1980--1987.

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Cited By

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Raghav SKumar SBalaji RSanjay MShunmuga CLi XHandl J(2024)Interactive Symbolic Regression - A Study on Noise Sensitivity and Extrapolation AccuracyProceedings of the Genetic and Evolutionary Computation Conference Companion10.1145/3638530.3664130(2076-2082)Online publication date: 14-Jul-2024
https://dl.acm.org/doi/10.1145/3638530.3664130
Pei YSilva SPaquete L(2023)A comprehensive and brief survey on interactive evolutionary computation in sound and music composition for algorithmic auditory and acoustic design with human-in-the-loopProceedings of the Companion Conference on Genetic and Evolutionary Computation10.1145/3583133.3596301(1990-1996)Online publication date: 15-Jul-2023
https://dl.acm.org/doi/10.1145/3583133.3596301
INOUE AFUKUMOTO M(2019)Investigation of Efficiency and Observation of Voice Quality Parameters in Ideal User’s Voice Creation using UTAU and Interactive Differential EvolutionUTAUと対話型差分進化を用いたユーザの理想声生成における効果の検証と声質パラメータの観察Transactions of Japan Society of Kansei Engineering10.5057/jjske.TJSKE-D-19-0000218:4(299-306)Online publication date: 2019
https://doi.org/10.5057/jjske.TJSKE-D-19-00002
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Index Terms

A proposal for distributed interactive differential evolution: in a case of creating sign sounds for multiple users
1. Information systems
  1. Information retrieval
    1. Users and interactive retrieval
      1. Collaborative search

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Published In

GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference Companion

July 2018

1968 pages

ISBN:9781450357647

DOI:10.1145/3205651

Editor:
Hernan Aguirre
Shinshu University
,
General Chair:
Keiki Takadama
The University of Electro-Communications

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

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Published: 06 July 2018

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GECCO '18: Genetic and Evolutionary Computation Conference

July 15 - 19, 2018

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Raghav SKumar SBalaji RSanjay MShunmuga CLi XHandl J(2024)Interactive Symbolic Regression - A Study on Noise Sensitivity and Extrapolation AccuracyProceedings of the Genetic and Evolutionary Computation Conference Companion10.1145/3638530.3664130(2076-2082)Online publication date: 14-Jul-2024
https://dl.acm.org/doi/10.1145/3638530.3664130
Pei YSilva SPaquete L(2023)A comprehensive and brief survey on interactive evolutionary computation in sound and music composition for algorithmic auditory and acoustic design with human-in-the-loopProceedings of the Companion Conference on Genetic and Evolutionary Computation10.1145/3583133.3596301(1990-1996)Online publication date: 15-Jul-2023
https://dl.acm.org/doi/10.1145/3583133.3596301
INOUE AFUKUMOTO M(2019)Investigation of Efficiency and Observation of Voice Quality Parameters in Ideal User’s Voice Creation using UTAU and Interactive Differential EvolutionUTAUと対話型差分進化を用いたユーザの理想声生成における効果の検証と声質パラメータの観察Transactions of Japan Society of Kansei Engineering10.5057/jjske.TJSKE-D-19-0000218:4(299-306)Online publication date: 2019
https://doi.org/10.5057/jjske.TJSKE-D-19-00002
Inoue AFukumoto M(2019)A Proposal of Creating Ideal UTAU Voice Based on Voice of the User's Own Key by Interactive Differential Evolution2019 6th International Conference on Computational Science/Intelligence and Applied Informatics (CSII)10.1109/CSII.2019.00017(56-59)Online publication date: May-2019
https://doi.org/10.1109/CSII.2019.00017

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Population size reduction for the differential evolution algorithm

Constrained differential evolution with multiobjective sorting mutation operators for constrained optimization

Distributed differential evolution with explorative---exploitative population families

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