New advances in the development of a thermodynamic equilibrium-inspired metaheuristic

Broderick Crawford; Ricardo Soto; Enrique Cortés

doi:10.1007/978-3-030-02837-4_12

New advances in the development of a thermodynamic equilibrium-inspired metaheuristic

Broderick Crawford, Ricardo Soto, Enrique Cortés

SCHOOL OF COMPUTER ENGINEERING

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper, the new results obtained with the development of a novel thermodynamic equilibrium-inspired optimization algorithm are presented. This technique was developed in order to solve nonlinear optimization problems, with continuous domains. In our proposal, each variable is considered as the most volatile chemical component of a saturated binary liquid mixture, at a determined pressure and temperature. In the search process, the new value of each decision variable is obtained at some temperature of bubble or dew of the binary system. The search includes the random change of the chemical species and their compositions. The algorithm has being tested by using well-known mathematical functions as benchmark functions and has given competitive results in comparison with other metaheuristics.

Original language	English
Title of host publication	Advances in Soft Computing - 16th Mexican International Conference on Artificial Intelligence, MICAI 2017, Proceedings
Editors	Sabino Miranda-Jiménez, Félix Castro, Miguel González-Mendoza
Publisher	Springer Verlag
Pages	142-153
Number of pages	12
ISBN (Print)	9783030028367
DOIs	https://doi.org/10.1007/978-3-030-02837-4_12
State	Published - 2018
Event	16th Mexican International Conference on Artificial Intelligence, MICAI 2017 - Enseneda, Mexico Duration: 23 Oct 2017 → 28 Oct 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10632 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	16th Mexican International Conference on Artificial Intelligence, MICAI 2017
Country/Territory	Mexico
City	Enseneda
Period	23/10/17 → 28/10/17

Keywords

Combinatorial optimization
Metaheuristics
Single-solution based metaheuristic
Stochastic search methods

Access to Document

10.1007/978-3-030-02837-4_12

Cite this

Crawford, B., Soto, R., & Cortés, E. (2018). New advances in the development of a thermodynamic equilibrium-inspired metaheuristic. In S. Miranda-Jiménez, F. Castro, & M. González-Mendoza (Eds.), Advances in Soft Computing - 16th Mexican International Conference on Artificial Intelligence, MICAI 2017, Proceedings (pp. 142-153). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10632 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-030-02837-4_12

Crawford, Broderick ; Soto, Ricardo ; Cortés, Enrique. / New advances in the development of a thermodynamic equilibrium-inspired metaheuristic. Advances in Soft Computing - 16th Mexican International Conference on Artificial Intelligence, MICAI 2017, Proceedings. editor / Sabino Miranda-Jiménez ; Félix Castro ; Miguel González-Mendoza. Springer Verlag, 2018. pp. 142-153 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "New advances in the development of a thermodynamic equilibrium-inspired metaheuristic",

abstract = "In this paper, the new results obtained with the development of a novel thermodynamic equilibrium-inspired optimization algorithm are presented. This technique was developed in order to solve nonlinear optimization problems, with continuous domains. In our proposal, each variable is considered as the most volatile chemical component of a saturated binary liquid mixture, at a determined pressure and temperature. In the search process, the new value of each decision variable is obtained at some temperature of bubble or dew of the binary system. The search includes the random change of the chemical species and their compositions. The algorithm has being tested by using well-known mathematical functions as benchmark functions and has given competitive results in comparison with other metaheuristics.",

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author = "Broderick Crawford and Ricardo Soto and Enrique Cort{\'e}s",

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Crawford, B , Soto, R & Cortés, E 2018, New advances in the development of a thermodynamic equilibrium-inspired metaheuristic. in S Miranda-Jiménez, F Castro & M González-Mendoza (eds), Advances in Soft Computing - 16th Mexican International Conference on Artificial Intelligence, MICAI 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10632 LNAI, Springer Verlag, pp. 142-153, 16th Mexican International Conference on Artificial Intelligence, MICAI 2017, Enseneda, Mexico, 23/10/17. https://doi.org/10.1007/978-3-030-02837-4_12

New advances in the development of a thermodynamic equilibrium-inspired metaheuristic. / Crawford, Broderick ; Soto, Ricardo; Cortés, Enrique.
Advances in Soft Computing - 16th Mexican International Conference on Artificial Intelligence, MICAI 2017, Proceedings. ed. / Sabino Miranda-Jiménez; Félix Castro; Miguel González-Mendoza. Springer Verlag, 2018. p. 142-153 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10632 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - New advances in the development of a thermodynamic equilibrium-inspired metaheuristic

AU - Crawford, Broderick

AU - Soto, Ricardo

AU - Cortés, Enrique

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2018.

PY - 2018

Y1 - 2018

N2 - In this paper, the new results obtained with the development of a novel thermodynamic equilibrium-inspired optimization algorithm are presented. This technique was developed in order to solve nonlinear optimization problems, with continuous domains. In our proposal, each variable is considered as the most volatile chemical component of a saturated binary liquid mixture, at a determined pressure and temperature. In the search process, the new value of each decision variable is obtained at some temperature of bubble or dew of the binary system. The search includes the random change of the chemical species and their compositions. The algorithm has being tested by using well-known mathematical functions as benchmark functions and has given competitive results in comparison with other metaheuristics.

AB - In this paper, the new results obtained with the development of a novel thermodynamic equilibrium-inspired optimization algorithm are presented. This technique was developed in order to solve nonlinear optimization problems, with continuous domains. In our proposal, each variable is considered as the most volatile chemical component of a saturated binary liquid mixture, at a determined pressure and temperature. In the search process, the new value of each decision variable is obtained at some temperature of bubble or dew of the binary system. The search includes the random change of the chemical species and their compositions. The algorithm has being tested by using well-known mathematical functions as benchmark functions and has given competitive results in comparison with other metaheuristics.

KW - Combinatorial optimization

KW - Metaheuristics

KW - Single-solution based metaheuristic

KW - Stochastic search methods

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Advances in Soft Computing - 16th Mexican International Conference on Artificial Intelligence, MICAI 2017, Proceedings

A2 - Miranda-Jiménez, Sabino

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PB - Springer Verlag

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Y2 - 23 October 2017 through 28 October 2017

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Crawford B , Soto R, Cortés E. New advances in the development of a thermodynamic equilibrium-inspired metaheuristic. In Miranda-Jiménez S, Castro F, González-Mendoza M, editors, Advances in Soft Computing - 16th Mexican International Conference on Artificial Intelligence, MICAI 2017, Proceedings. Springer Verlag. 2018. p. 142-153. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-02837-4_12

New advances in the development of a thermodynamic equilibrium-inspired metaheuristic

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