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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publicationAdvances in Soft Computing - 16th Mexican International Conference on Artificial Intelligence, MICAI 2017, Proceedings
EditorsSabino Miranda-Jiménez, Félix Castro, Miguel González-Mendoza
PublisherSpringer Verlag
Pages142-153
Number of pages12
ISBN (Print)9783030028367
DOIs
StatePublished - 1 Jan 2018
Event16th Mexican International Conference on Artificial Intelligence, MICAI 2017 - Enseneda, Mexico
Duration: 23 Oct 201728 Oct 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10632 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th Mexican International Conference on Artificial Intelligence, MICAI 2017
CountryMexico
CityEnseneda
Period23/10/1728/10/17

Keywords

  • Combinatorial optimization
  • Metaheuristics
  • Single-solution based metaheuristic
  • Stochastic search methods

Fingerprint Dive into the research topics of 'New advances in the development of a thermodynamic equilibrium-inspired metaheuristic'. Together they form a unique fingerprint.

Cite this