Realizable and adaptive maximization of environmental sustainability at the country level using evolutionary strategies-Reference-Cited by-同舟云学术

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Realizable and adaptive maximization of environmental sustainability at the country level using evolutionary strategies

Published:2021-08-11 Issue:4 Volume:7 Page:590-623
ISSN:2373-7484
Container-title:Communications in Statistics: Case Studies, Data Analysis and Applications
language:en
Short-container-title:Communications in Statistics: Case Studies, Data Analysis and Applications

Author:

Tambouratzis Tatiana¹,Canellidis Vassileios¹,Chalikias Miltiadis²

Affiliation:

1. Department of Industrial Management & Technology, University of Piraeus, Piraeus, Greece

2. Department of Accounting and Finance, University of Western Attica, Egaleo, Greece

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics and Probability,Analysis

Link

https://www.tandfonline.com/doi/pdf/10.1080/23737484.2021.1942326

Reference26 articles.

1. Adams, W. M. 2006. The Future of Sustainability: Re-thinking Environment and Development in the Twenty-first Century, 1–18. Gland, Switzerland: World Conservation Union.

2. Evolutionary Algorithms in Theory and Practice

3. The Theory of Evolution Strategies

4. Environmental impact assessment framework by integrating scientific analysis and subjective perception

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1. Neural Network Approximation for Time Splitting Random Functions;Mathematics;2023-05-05

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