Personalized thermal comfort modeling through genetic algorithm-Reference-Cited by-同舟云学术

Personalized thermal comfort modeling through genetic algorithm

Published:2021-06-27 Issue: Volume: Page:1-22
ISSN:1556-7036
Container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
language:en
Short-container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects

Author:

Dimara Asimina¹²^ORCID,Anagnostopoulos Christos-Nikolaos²^ORCID,Krinidis Stelios¹³^ORCID,Tzovaras Dimitrios¹^ORCID

Affiliation:

1. Centre for Research and Technology Hellas, Information Technologies Institute, Thessaloniki, Greece

2. Social Science School, Cultural Technology and Communication Dpt, University of the Aegean, Mytilene, Greece

3. Management Science and Technology Department, School of Economics and Business Administration, International Hellenic University (IHU), Greece

Publisher

Informa UK Limited

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://www.tandfonline.com/doi/pdf/10.1080/15567036.2021.1937404

Reference38 articles.

1. Abdoun, O., J. Abouchabaka, and C. Tajani, Analyzing the performance of mutation operators to solve the travelling salesman problem, arXiv preprint arXiv:1203.3099 (2012).

2. An Experimental Study of Operator Choices in the $$(1+(\lambda ,\lambda ))$$ Genetic Algorithm

3. Stefan‐Boltzmann problem for heat transfer in a fin

4. Carr, J. A., An introduction to genetic algorithms, 2014.

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